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7678d783-84cc-4654-ae6b-ef24a4cfd60a/2bb47d75-c373-4eef-a02f-1f79d9363072/0/0 | RegexGenie | All-in-one regex handling services: Natural language regex generator, regex explanation, regex optimization. | null | Regex Explanation Service | Understand any regular expression with our detailed explanations. Submit any regex and our service will provide a breakdown of its components and matching behavior. | 400 | New Example | {"error": true, "errorMessage": "Could not describe, make sure it is a valid regex"} | {"type": "object", "properties": {"error": {"type": "boolean"}, "errorMessage": {"type": "string"}}} |
7678d783-84cc-4654-ae6b-ef24a4cfd60a/2bb47d75-c373-4eef-a02f-1f79d9363072/1/0 | RegexGenie | All-in-one regex handling services: Natural language regex generator, regex explanation, regex optimization. | null | Regex Explanation Service | Understand any regular expression with our detailed explanations. Submit any regex and our service will provide a breakdown of its components and matching behavior. | 200 | New Example | {"error": false, "data": "Matches a single digit number."} | {"type": "object", "properties": {"error": {"type": "boolean"}, "data": {"type": "string"}}} |
7678d783-84cc-4654-ae6b-ef24a4cfd60a/d2f09026-605d-4ef9-9d76-9f15ff937c96/0/0 | RegexGenie | All-in-one regex handling services: Natural language regex generator, regex explanation, regex optimization. | null | Natural Language Regex Generator | Generate regular expressions using natural language inputs. Our AI-powered service can understand your intent and generate an accurate regex for your needs. | 400 | New Example | {"error": true, "errorMessage": "Could not generate, make sure it is a valid regex"} | {"type": "object", "properties": {"error": {"type": "boolean"}, "errorMessage": {"type": "string"}}} |
7678d783-84cc-4654-ae6b-ef24a4cfd60a/d2f09026-605d-4ef9-9d76-9f15ff937c96/1/0 | RegexGenie | All-in-one regex handling services: Natural language regex generator, regex explanation, regex optimization. | null | Natural Language Regex Generator | Generate regular expressions using natural language inputs. Our AI-powered service can understand your intent and generate an accurate regex for your needs. | 200 | New Example | {"error": false, "data": "/^\\d$/"} | {"type": "object", "properties": {"error": {"type": "boolean"}, "data": {"type": "string"}}} |
8a50ae01-8d27-4543-ac9d-7bcc369b4a3b/90589a67-89a5-49da-87fd-9ed05d40df55/0/0 | Language Detection | Language Detection API supporting 9 different languages. | null | specific-classify | returns details about the text language detection | 200 | null | {"id": "000000000000000000000000", "requested_at": "0001-01-01T00:00:00Z", "text": "some random text in a language to be defined", "language": "english", "accuracy": 0.9996178625931664} | {"type": "object", "properties": {"id": {"type": "string"}, "requested_at": {"type": "string"}, "text": {"type": "string"}, "language": {"type": "string"}, "accuracy": {"type": "number"}}} |
8a50ae01-8d27-4543-ac9d-7bcc369b4a3b/01db1305-a024-4a0a-ac6c-2a3a89c11f0a/0/0 | Language Detection | Language Detection API supporting 9 different languages. | null | classify | returns details about the text language detection | 200 | null | {"id": "000000000000000000000000", "requested_at": "0001-01-01T00:00:00Z", "text": "some random text in a language to be defined", "language": "english", "accuracy": 0.9996178625931664} | {"type": "object", "properties": {"id": {"type": "string"}, "requested_at": {"type": "string"}, "text": {"type": "string"}, "language": {"type": "string"}, "accuracy": {"type": "number"}}} |
b8a3b5fd-2346-459c-97fd-b52a673c661e/868d215e-ba9d-472c-b4e6-9eb21adafc7b/0/0 | Stable Diffusion V2.1 | Stable Diffusion 2.1 model version endpoints enable you to generate quality photos using simple text prompts and filling in the other params to create a stunning photo, as you can see below. | null | Generate | It generates a new photo using Stable Diffusion model 2.1 returning a base 64 image encoded.
We strongly recommend to use a long timeout (max 1 min) due to timing to generate the image on our servers | 200 | New Example | {"statusCode": 200, "image": ["base64image"], "message": "Successfully generated", "run_id": "7260b701-119c-4df1-8ca6-bb3175b01411", "run_time": 21870.070695877075} | {"type": "object", "properties": {"statusCode": {"type": "integer"}, "image": {"type": "array", "items": {"type": "string"}}, "message": {"type": "string"}, "run_id": {"type": "string"}, "run_time": {"type": "number"}}} |
afa37a34-eace-4db7-95ac-e7d74fec79aa/1b03caa4-bc4c-4960-88dc-2cd9d39aee88/0/0 | Midjourney Vision | Introducing Midjourney Vision API - Your Path to Imaging Excellence! 🔥📸 | 5.8 | get job by taskId | fetch result of job by taskId, and the taskId will expired after 24 hours
taskId (required,string)
| 500 | New Example | {"success": false, "error": "No task found for this taskId: 0d441482-f5ea-4dff-8a4a-d3ff104b65f5"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"success": {"type": "boolean"}, "error": {"type": "string"}}, "required": ["error", "success"]} |
afa37a34-eace-4db7-95ac-e7d74fec79aa/1b03caa4-bc4c-4960-88dc-2cd9d39aee88/1/0 | Midjourney Vision | Introducing Midjourney Vision API - Your Path to Imaging Excellence! 🔥📸 | 5.8 | get job by taskId | fetch result of job by taskId, and the taskId will expired after 24 hours
taskId (required,string)
| 200 | imagine Example | {"success": true, "command": "imagine", "taskId": "d38d9d09-051b-40ac-8048-1eb2b106d2cb", "progress": 100, "imageId": "1149660531674853416", "imageUrl": "https://cdn.discordapp.com/attachments/1148913132786425908/1149660530869555221/johnsmith22620_Flying_car_b818dd34-f1ec-414c-a5af-02ab02dca337.png"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"success": {"type": "boolean"}, "command": {"type": "string"}, "taskId": {"type": "string"}, "progress": {"type": "integer"}, "imageId": {"type": "string"}, "imageUrl": {"type": "string"}}, "required": ["command", "imageId", "imageUrl", "progress", "success", "taskId"]} |
afa37a34-eace-4db7-95ac-e7d74fec79aa/1b03caa4-bc4c-4960-88dc-2cd9d39aee88/1/1 | Midjourney Vision | Introducing Midjourney Vision API - Your Path to Imaging Excellence! 🔥📸 | 5.8 | get job by taskId | fetch result of job by taskId, and the taskId will expired after 24 hours
taskId (required,string)
| 200 | Describe Example | {"success": true, "command": "describe", "taskId": "fdf4049d-011c-4ae4-ae6d-e213b2867643", "description": ["1\ufe0f\u20e3 a painting of a woman with an elegant appearance, in the style of [noah bradley](https://goo.gl/search?artist%20noah%20bradley), [kerem beyit](https://goo.gl/search?artist%20kerem%20beyit), sun-kissed palettes, realistic hyper-detail, youthful protagonists, [gwenda morgan](https://goo.gl/search?artist%20gwenda%20morgan), delicate markings --ar 38:29", "2\ufe0f\u20e3 image for the pharaoh elisabeth jones wallpaper, in the style of digital painting, portrait miniatures, golden light, close up, timeless grace, sun-kissed palettes, fantasy illustrated --ar 38:29", "3\ufe0f\u20e3 roman actress sarah michael, in the style of [marc simonetti](https://goo.gl/search?artist%20marc%20simonetti), [kerem beyit](https://goo.gl/search?artist%20kerem%20beyit), [kadir nelson](https://goo.gl/search?artist%20kadir%20nelson), light amber, 8k, phoenician art, austere simplicity --ar 38:29", "4\ufe0f\u20e3 a woman with long brown hair and dark hair standing in front of a garden, in the style of realistic portrait painter, ancient egypt, blink-and-you-miss-it detail, golden light, d&d, official art, charming characters --ar 38:29"]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"success": {"type": "boolean"}, "command": {"type": "string"}, "taskId": {"type": "string"}, "description": {"type": "array", "items": {"type": "string"}}}, "required": ["command", "description", "success", "taskId"]} |
f9118437-f94d-43c9-9a71-050f930fa9e7/7eff427e-45aa-45c7-8719-7a631b098198/2/0 | Financial Summarization Advanced | From the team that built the original financial summarization model on Hugging Face (>45K downloads on April 2023) here comes the advanced version with even greater performance! Use it and build your personal or commercial apps quickly summarizing thousands of articles! | null | summarize | 200 | null | {"summary": "Summary of the text"} | {"type": "object", "properties": {"summary": {"type": "string"}}} |
|
5a8ccee2-ba95-49be-a29e-8008c491a506/ae65fb0c-7c2e-4392-af06-52f8b5b4f84f/0/0 | image restoration | An innovative API that harnesses the power of Artificial Intelligence to restore, revive, old and damaged pictures. | 6.3 | Create Job | Send a new job, a new image to process.
set isScratched to true if input image is damaged.
set isHighResolution if input image is in high resolution. | 201 | Example_1 | {"id": "", "status": "PENDING", "createdAt": "", "startedAt": "", "endedAt": "", "isScratched": true, "isHighResolution": true} | {"type": "object", "properties": {"id": {"type": "string"}, "status": {"type": "string", "enum": ["PENDING", "IN_PROGRESS", "COMPLETED", "FAILED"]}, "createdAt": {"format": "date-time", "type": "string"}, "startedAt": {"format": "date-time", "type": "string"}, "endedAt": {"format": "date-time", "type": "string"}, "isScratched": {"type": "boolean"}, "isHighResolution": {"type": "boolean"}}, "required": ["id", "status", "createdAt", "startedAt", "endedAt", "isScratched", "isHighResolution"]} |
5a8ccee2-ba95-49be-a29e-8008c491a506/67843e81-852b-4b69-8030-ee36048cc0d6/0/0 | image restoration | An innovative API that harnesses the power of Artificial Intelligence to restore, revive, old and damaged pictures. | 6.3 | Get Job By ID | Get a job you have executed by this ID | 200 | Example_1 | {"id": "", "status": "PENDING", "createdAt": "", "startedAt": "", "endedAt": "", "isScratched": true, "isHighResolution": true} | {"type": "object", "properties": {"id": {"type": "string"}, "status": {"type": "string", "enum": ["PENDING", "IN_PROGRESS", "COMPLETED", "FAILED"]}, "createdAt": {"format": "date-time", "type": "string"}, "startedAt": {"format": "date-time", "type": "string"}, "endedAt": {"format": "date-time", "type": "string"}, "isScratched": {"type": "boolean"}, "isHighResolution": {"type": "boolean"}}, "required": ["id", "status", "createdAt", "startedAt", "endedAt", "isScratched", "isHighResolution"]} |
5a8ccee2-ba95-49be-a29e-8008c491a506/595c2344-e02b-492a-a78d-7c114b8b1d4f/0/0 | image restoration | An innovative API that harnesses the power of Artificial Intelligence to restore, revive, old and damaged pictures. | 6.3 | Get all jobs | return all jobs started by you | 200 | Example_1 | {"statusCode": 0, "message": "", "data": [{"id": "", "status": "PENDING", "createdAt": "", "startedAt": "", "endedAt": "", "isScratched": true, "isHighResolution": true}], "totalItems": 0} | {"type": "object", "properties": {"statusCode": {"type": "number"}, "message": {"type": "string"}, "data": {"type": "array", "items": {"type": "object", "properties": {"id": {"type": "string"}, "status": {"type": "string", "enum": ["PENDING", "IN_PROGRESS", "COMPLETED", "FAILED"]}, "createdAt": {"format": "date-time", "type": "string"}, "startedAt": {"format": "date-time", "type": "string"}, "endedAt": {"format": "date-time", "type": "string"}, "isScratched": {"type": "boolean"}, "isHighResolution": {"type": "boolean"}}, "required": ["id", "status", "createdAt", "startedAt", "endedAt", "isScratched", "isHighResolution"]}}, "totalItems": {"type": "number"}}, "required": ["statusCode", "message", "data", "totalItems"]} |
f37100a0-58a5-455b-a59c-b520c21974fc/0c79d557-699e-4e4e-9765-5ab3881749e9/0/0 | AI Cartoon Generator | AI Cartoon Generator utilizes the technology of generative models to automatically generate cartoon-style images in different styles. This technology can create cartoonized images with the same resolution as the input image and specific cartoon styles, and supports users to choose from a variety of cartoon styles. It is worth mentioning that even for the same image and style, each generated image is unique. The tool provides users with dozens of cartoon style options to choose from. | 8.6 | Query asynchronous task results | For asynchronous interface, after calling the interface, if the real result is not returned; you need to keep the request_id returned by the asynchronous interface and then request this interface to get the real result. | 200 | Success | {"request_id": "3A9BFC5E-3F7C-4D9A-9445-908C6D14AB5B", "log_id": "3A9BFC5E-3F7C-4D9A-9445-908C6D14AB5B", "error_code": 0, "data": {"status": "PROCESS_SUCCESS", "result_url": "https://www.ailabtools.com/image1.png"}} | {"request_id": {"type": "string", "required": false, "description": "Request ID."}, "log_id": {"type": "string", "required": false, "description": "Log ID."}, "error_code": {"type": "integer", "required": false, "description": "Error Code."}, "error_code_str": {"type": "string", "required": false, "description": "Error Code."}, "error_msg": {"type": "string", "required": false, "description": "Error Message."}, "data": {"type": "object", "required": false, "description": "The content of the result data returned.", "properties": {"status": {"type": "string", "required": false, "example": "PROCESS_SUCCESS", "enum": {"QUEUING": "The task is queued.", "PROCESSING": "Asynchronous processing.", "PROCESS_SUCCESS": "Processing was successful.", "PROCESS_FAILED": "Processing failed.", "TIMEOUT_FAILED": "The task timeout did not complete.", "LIMIT_RETRY_FAILED": "Exceeded maximum number of retries for processing failures."}, "description": "Asynchronous task status."}, "result_url": {"type": "string", "required": false, "example": "https://www.ailabtools.com/image1.png", "description": "Result URL address. Note: The URL address is a temporary address, valid for 24 hours, and will not be accessible after the expiration date."}}}} |
f37100a0-58a5-455b-a59c-b520c21974fc/0c79d557-699e-4e4e-9765-5ab3881749e9/0/1 | AI Cartoon Generator | AI Cartoon Generator utilizes the technology of generative models to automatically generate cartoon-style images in different styles. This technology can create cartoonized images with the same resolution as the input image and specific cartoon styles, and supports users to choose from a variety of cartoon styles. It is worth mentioning that even for the same image and style, each generated image is unique. The tool provides users with dozens of cartoon style options to choose from. | 8.6 | Query asynchronous task results | For asynchronous interface, after calling the interface, if the real result is not returned; you need to keep the request_id returned by the asynchronous interface and then request this interface to get the real result. | 200 | Error | {"request_id": "3A9BFC5E-3F7C-4D9A-9445-908C6D14AB5B", "log_id": "3A9BFC5E-3F7C-4D9A-9445-908C6D14AB5B", "error_code": 400, "error_code_str": "ERROR_PARAMETERS", "error_msg": "image cannot be empty"} | {"request_id": {"type": "string", "required": false, "description": "Request ID."}, "log_id": {"type": "string", "required": false, "description": "Log ID."}, "error_code": {"type": "integer", "required": false, "description": "Error Code."}, "error_code_str": {"type": "string", "required": false, "description": "Error Code."}, "error_msg": {"type": "string", "required": false, "description": "Error Message."}, "data": {"type": "object", "required": false, "description": "The content of the result data returned.", "properties": {"status": {"type": "string", "required": false, "example": "PROCESS_SUCCESS", "enum": {"QUEUING": "The task is queued.", "PROCESSING": "Asynchronous processing.", "PROCESS_SUCCESS": "Processing was successful.", "PROCESS_FAILED": "Processing failed.", "TIMEOUT_FAILED": "The task timeout did not complete.", "LIMIT_RETRY_FAILED": "Exceeded maximum number of retries for processing failures."}, "description": "Asynchronous task status."}, "result_url": {"type": "string", "required": false, "example": "https://www.ailabtools.com/image1.png", "description": "Result URL address. Note: The URL address is a temporary address, valid for 24 hours, and will not be accessible after the expiration date."}}}} |
f37100a0-58a5-455b-a59c-b520c21974fc/c1dd0d6e-d960-45f1-9373-fb96df0321c0/0/0 | AI Cartoon Generator | AI Cartoon Generator utilizes the technology of generative models to automatically generate cartoon-style images in different styles. This technology can create cartoonized images with the same resolution as the input image and specific cartoon styles, and supports users to choose from a variety of cartoon styles. It is worth mentioning that even for the same image and style, each generated image is unique. The tool provides users with dozens of cartoon style options to choose from. | 8.6 | AI Cartoon Generator | This interface will monitor whether the processing is completed within a certain period of time, and if the processing is completed the real processing result will be returned directly; conversely, the user needs to use the request_id returned by this interface to call the Query Asynchronous Task Results interface to get the real result. | 200 | Success | {"request_id": "3A9BFC5E-3F7C-4D9A-9445-908C6D14AB5B", "log_id": "3A9BFC5E-3F7C-4D9A-9445-908C6D14AB5B", "error_code": 0} | {"request_id": {"type": "string", "required": false, "description": "Request ID."}, "log_id": {"type": "string", "required": false, "description": "Log ID."}, "error_code": {"type": "integer", "required": false, "description": "Error Code."}, "error_code_str": {"type": "string", "required": false, "description": "Error Code."}, "error_msg": {"type": "string", "required": false, "description": "Error Message."}} |
f37100a0-58a5-455b-a59c-b520c21974fc/c1dd0d6e-d960-45f1-9373-fb96df0321c0/0/1 | AI Cartoon Generator | AI Cartoon Generator utilizes the technology of generative models to automatically generate cartoon-style images in different styles. This technology can create cartoonized images with the same resolution as the input image and specific cartoon styles, and supports users to choose from a variety of cartoon styles. It is worth mentioning that even for the same image and style, each generated image is unique. The tool provides users with dozens of cartoon style options to choose from. | 8.6 | AI Cartoon Generator | This interface will monitor whether the processing is completed within a certain period of time, and if the processing is completed the real processing result will be returned directly; conversely, the user needs to use the request_id returned by this interface to call the Query Asynchronous Task Results interface to get the real result. | 200 | Error | {"request_id": "3A9BFC5E-3F7C-4D9A-9445-908C6D14AB5B", "log_id": "3A9BFC5E-3F7C-4D9A-9445-908C6D14AB5B", "error_code": 400, "error_code_str": "ERROR_PARAMETERS", "error_msg": "image cannot be empty"} | {"request_id": {"type": "string", "required": false, "description": "Request ID."}, "log_id": {"type": "string", "required": false, "description": "Log ID."}, "error_code": {"type": "integer", "required": false, "description": "Error Code."}, "error_code_str": {"type": "string", "required": false, "description": "Error Code."}, "error_msg": {"type": "string", "required": false, "description": "Error Message."}} |
f37100a0-58a5-455b-a59c-b520c21974fc/c1dd0d6e-d960-45f1-9373-fb96df0321c0/1/0 | AI Cartoon Generator | AI Cartoon Generator utilizes the technology of generative models to automatically generate cartoon-style images in different styles. This technology can create cartoonized images with the same resolution as the input image and specific cartoon styles, and supports users to choose from a variety of cartoon styles. It is worth mentioning that even for the same image and style, each generated image is unique. The tool provides users with dozens of cartoon style options to choose from. | 8.6 | AI Cartoon Generator | This interface will monitor whether the processing is completed within a certain period of time, and if the processing is completed the real processing result will be returned directly; conversely, the user needs to use the request_id returned by this interface to call the Query Asynchronous Task Results interface to get the real result. | 401 | Example | {"message": "Invalid API key in request"} | {"type": "object", "properties": {"message": {"type": "string", "required": true, "example": "Invalid API key in request", "description": "Error Message."}}} |
1e29e918-06be-40b5-a2fb-100ec4c7a606/d285fd8c-0408-48f5-9843-e77e251ab9e0/0/0 | Script Writer | Script Writer AI is a cutting-edge artificial intelligence technology that revolutionizes the art of storytelling. Powered by advanced machine learning algorithms, this AI marvels in crafting compelling and original scripts for various mediums, including films, TV shows, theater productions, and more. With an innate grasp of character dynamics, plot intricacies, and authentic dialogue, Script Writer AI delivers creative narratives that captivate audiences and evoke genuine emotions. Seamlessl... | 5.1 | Write Script | Write Script | 200 | Sample Response | {"script": "Welcome to our YouTube channel, where we explore the best travel destinations! Today, we will take you on a 2-day adventure in beautiful Bali. \n\nDay 1: Start your morning off with a visit to the stunning Tegalalang Rice Terrace, known for its breathtaking views and lush green fields. \n\nNext, head to the Ubud Monkey Forest, a sanctuary filled with playful monkeys and ancient temples. \n\nFor lunch, savor traditional Balinese cuisine at a local warung and try dishes like Nasi Goreng or Gado Gado. \n\nIn the afternoon, take a dip in the refreshing Tegenungan Waterfall and capture the perfect Instagram-worthy shot. \n\nContinue your journey to the famous Tanah Lot Temple, a magnificent sea temple that offers magical sunset views. \n\nAs the day comes to an end, indulge in a relaxing Balinese massage at a spa to unwind and rejuvenate. \n\nDay 2: Rise early for an incredible sunrise trek up Mount Batur, an active volcano that offers breathtaking panoramic views. \n\nAfter the trek, reward yourself with a delicious breakfast overlooking the picturesque Lake Batur. \n\nSpend your morning exploring the vibrant traditional market in Ubud, where you can find unique handicrafts and souvenirs. \n\nFor a cultural experience, visit the Sacred Monkey Forest Sanctuary and witness the monkeys living harmoniously with the temples and nature. \n\nIndulge in a delightful lunch at a local restaurant serving authentic Balinese cuisine, such as Babi Guling or Lawar. \n\nIn the afternoon, head to the iconic Uluwatu Temple, perched on a cliff with awe-inspiring views of the Indian Ocean. \n\nEnd your Bali adventure with a sunset beach stroll along Kuta Beach, known for its golden sands and incredible surf. \n\nBefore we wrap up, don't forget to subscribe to our channel for more amazing travel videos like this one. \n\nThank you for joining us on this 2-day Bali itinerary - we hope you have a fantastic time exploring this tropical paradise!"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"script": {"type": "string"}}, "required": ["script"]} |
77fab676-780e-409c-8f42-9427f66379b0/c458b4ed-aafb-42b6-a381-be2ff4a74abd/0/0 | RecapioGPT | null | 8 | Summarize | Provide a text or and Url and get a summary. | 200 | Successful Summary | {"summary": "Ukraine War, 16 September 2022: East Kharkiv.\nIt's been about a week since my last 'update' on the war in Ukraine, thus there's actually a lot to review and report today.\nI lack the time for more, though: thus, even if I'm writing down most important developments, let me remain focused on eastern Kharkiv, this evening.\nIn this regards, I'll again try to reconstruct the Ukrainian offensive in East Kharkiv, run between 4 and 12 September.\nThe operation began with diversions: between 1 and 4 September, Ukrainian forces crossed the Siversky Donets north of Slovyansk to liberate Ozerne and Yampil (the former was liberated, but the latter is still under the Russian control).\nThey quickly concentrated elements from four or five brigades and, late on 4 September, punched through the enemy frontline at Vrebivka.\n'Instead' of advancing from Balakleya towards east, on Vesele, for example, Ukrainian rushed north-east.\nAlternatively, it is possible Ukrainians have picked precisely this route because it might have represented something like 'border' between areas of responsibility of the 20th Guards Combined Arms Army (20th GCAA; north) and the 1st GTA.\nOne way or the other, a weak BTG of VDV - perhaps something like 'intervention reserve' of the 20th GCAA - in Volkhiv Yar was hit by a pincer attack and overrun.\nUkrainians then raced in direction of Shevchenkove, thus collapsing the entire frontline of the 20th GCAA west and north-west of that place (roughly between Bazaliivka in the north and Ivanivka in the south).\nBy 7 September, Ukrainians were already in the western outskirts of Kupyansk and Senkove on the Oskil River.\nA day later, they approached Bakhtyn and then Oskil from the north.\nInitially, Ukrainians had too few forces to assault Izyum and were only present north-east of this town: it took them until 8 or 9 September to secure the Vesele area.\nFurther east, lack of roads and uneven terrain slowed them down, and it was late on 9 September before they managed to reach Kamyanka.\nThat was about the maximum of what was possible for the place was held by far superior Russian forces."} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"summary": {"type": "string"}}, "required": ["summary"]} |
6d552e8c-718b-4bb8-bf04-07feacdbb35b/5877d46e-6d17-439d-9db4-970f888d8ce3/0/0 | ChatGPT | A stable and well-priced OpenAI API with no regional restrictions. | null | Retrieve model | Retrieves a model instance, providing basic information about the model such as the owner and permissioning. | 200 | New Example | {"id": "text-davinci-003", "object": "model", "owned_by": "openai", "permission": []} | {"type": "object", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "owned_by": {"type": "string"}, "permission": {"type": "array"}}} |
6d552e8c-718b-4bb8-bf04-07feacdbb35b/85680624-fa48-4b26-a537-e46246f6dc0b/0/0 | ChatGPT | A stable and well-priced OpenAI API with no regional restrictions. | null | List models | Lists the currently available models, and provides basic information about each one such as the owner and availability. | 200 | New Example | {"data": [{"id": "model-id-0", "object": "model", "owned_by": "organization-owner", "permission": []}, {"id": "model-id-1", "object": "model", "owned_by": "organization-owner", "permission": []}, {"id": "model-id-2", "object": "model", "owned_by": "openai", "permission": []}], "object": "list"} | {"type": "object", "properties": {"data": {"type": "array", "items": {"type": "object", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "owned_by": {"type": "string"}, "permission": {"type": "array"}}}}, "object": {"type": "string"}}} |
6d552e8c-718b-4bb8-bf04-07feacdbb35b/56a348a1-78c6-4cc1-a89a-1455ac964764/0/0 | ChatGPT | A stable and well-priced OpenAI API with no regional restrictions. | null | Create Embedding | Creates an embedding vector representing the input text. | 200 | New Example | {"object": "list", "data": [{"object": "embedding", "embedding": [], "index": 0}], "model": "text-embedding-ada-002", "usage": {"prompt_tokens": 8, "total_tokens": 8}} | {"type": "object", "required": ["object", "model", "data", "usage"], "properties": {"object": {"type": "string"}, "model": {"type": "string"}, "data": {"type": "array", "items": {"type": "object", "required": ["index", "object", "embedding"], "properties": {"index": {"type": "integer"}, "object": {"type": "string"}, "embedding": {"type": "array", "items": {"type": "number"}}}}}, "usage": {"type": "object", "required": ["prompt_tokens", "total_tokens"], "properties": {"prompt_tokens": {"type": "integer"}, "total_tokens": {"type": "integer"}}}}} |
6d552e8c-718b-4bb8-bf04-07feacdbb35b/09419b4d-3d50-4271-9154-124f21609afa/0/0 | ChatGPT | A stable and well-priced OpenAI API with no regional restrictions. | null | Create moderation | Given a input text, outputs if the model classifies it as violating OpenAI's content policy. | 200 | New Example | {"id": "modr-5MWoLO", "model": "text-moderation-001", "results": [{"categories": {"hate": false, "hate/threatening": true, "self-harm": false, "sexual": false, "sexual/minors": false, "violence": true, "violence/graphic": false}, "category_scores": {"hate": 0.22714105248451233, "hate/threatening": 0.4132447838783264, "self-harm": 0.005232391878962517, "sexual": 0.01407341007143259, "sexual/minors": 0.0038522258400917053, "violence": 0.9223177433013916, "violence/graphic": 0.036865197122097015}, "flagged": true}]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"id": {"type": "string"}, "model": {"type": "string"}, "results": {"type": "array", "items": {"type": "object", "properties": {"categories": {"type": "object", "properties": {"hate": {"type": "boolean"}, "hate/threatening": {"type": "boolean"}, "self-harm": {"type": "boolean"}, "sexual": {"type": "boolean"}, "sexual/minors": {"type": "boolean"}, "violence": {"type": "boolean"}, "violence/graphic": {"type": "boolean"}}, "required": ["hate", "hate/threatening", "self-harm", "sexual", "sexual/minors", "violence", "violence/graphic"]}, "category_scores": {"type": "object", "properties": {"hate": {"type": "number"}, "hate/threatening": {"type": "number"}, "self-harm": {"type": "number"}, "sexual": {"type": "number"}, "sexual/minors": {"type": "number"}, "violence": {"type": "number"}, "violence/graphic": {"type": "number"}}, "required": ["hate", "hate/threatening", "self-harm", "sexual", "sexual/minors", "violence", "violence/graphic"]}, "flagged": {"type": "boolean"}}, "required": ["categories", "category_scores", "flagged"]}}}, "required": ["id", "model", "results"]} |
6d552e8c-718b-4bb8-bf04-07feacdbb35b/923f9036-a96c-456f-9ca6-da39f8dd85d5/0/0 | ChatGPT | A stable and well-priced OpenAI API with no regional restrictions. | null | Chat Completion | Creates a model response for the given chat conversation. | 200 | New Example | {"id": "chatcmpl-123", "object": "chat.completion", "created": 1677652288, "model": "gpt-3.5-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "\n\nHello there, how may I assist you today?"}, "finish_reason": "stop"}], "usage": {"prompt_tokens": 9, "completion_tokens": 12, "total_tokens": 21}} | {"type": "object", "properties": {"id": {"type": "string", "description": "The id of the chat completion response."}, "object": {"type": "string", "description": "The object of the chat completion response."}, "created": {"type": "number", "description": "The created timestamp of the chat completion response."}, "model": {"type": "string", "description": "The model of the chat completion response."}, "choices": {"type": "array", "items": {"type": "object", "properties": {"index": {"type": "number", "description": "The index of the choice."}, "message": {"type": "object", "properties": {"role": {"type": "string", "enum": ["system", "user", "assistant"], "description": "The role of the author of this message."}, "content": {"type": "string", "description": "The contents of the message."}}, "required": ["role", "content"], "description": "The message of the choice."}, "finish_reason": {"type": "string", "description": "The finish reason of the choice."}}}, "description": "The choices of the chat completion response."}, "usage": {"description": "The usage of the chat completion response.", "type": "object", "properties": {"prompt_tokens": {"type": "number"}, "completion_tokens": {"type": "number"}, "total_tokens": {"type": "number"}}, "required": ["prompt_tokens", "completion_tokens", "total_tokens"]}}, "required": ["id", "object", "created", "model", "choices"]} |
4befe76b-b4bf-4e3f-8237-fc427b3e137f/e04f8ba1-139d-46d2-bd47-eab830966bb4/0/0 | OpenAI | OpenAI official API | 0 | createClassification | 200 | null | {"object": "", "model": "", "search_model": "", "completion": "", "label": "", "selected_examples": [{"document": 0, "text": "", "label": ""}]} | {"type": "object", "properties": {"object": {"type": "string"}, "model": {"type": "string"}, "search_model": {"type": "string"}, "completion": {"type": "string"}, "label": {"type": "string"}, "selected_examples": {"type": "array", "items": {"type": "object", "properties": {"document": {"type": "integer"}, "text": {"type": "string"}, "label": {"type": "string"}}}}}} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/9b318413-c360-4488-be36-8ca357625a33/0/0 | OpenAI | OpenAI official API | 0 | createSearch | 200 | null | {"object": "", "model": "", "data": [{"object": "", "document": 0, "score": 0}]} | {"type": "object", "properties": {"object": {"type": "string"}, "model": {"type": "string"}, "data": {"type": "array", "items": {"type": "object", "properties": {"object": {"type": "string"}, "document": {"type": "integer"}, "score": {"type": "number"}}}}}} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/0f8e4934-7372-41af-9b6a-77b58e9cc8f9/0/0 | OpenAI | OpenAI official API | 0 | createTranslation | 200 | null | {"text": ""} | {"type": "object", "properties": {"text": {"type": "string"}}, "required": ["text"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/b930dfc4-94de-4b56-aad1-a0227043ad3f/0/0 | OpenAI | OpenAI official API | 0 | cancelFineTune | 200 | null | {"id": "", "object": "", "created_at": 0, "updated_at": 0, "model": "", "fine_tuned_model": "", "organization_id": "", "status": "", "hyperparams": {}, "training_files": [{"id": "", "object": "", "bytes": 0, "created_at": 0, "filename": "", "purpose": "", "status": "", "status_details": {}}], "validation_files": [{"id": "", "object": "", "bytes": 0, "created_at": 0, "filename": "", "purpose": "", "status": "", "status_details": {}}], "result_files": [{"id": "", "object": "", "bytes": 0, "created_at": 0, "filename": "", "purpose": "", "status": "", "status_details": {}}], "events": [{"object": "", "created_at": 0, "level": "", "message": ""}]} | {"title": "FineTune", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "created_at": {"type": "integer"}, "updated_at": {"type": "integer"}, "model": {"type": "string"}, "fine_tuned_model": {"type": ["string", "null"]}, "organization_id": {"type": "string"}, "status": {"type": "string"}, "hyperparams": {"type": "object"}, "training_files": {"type": "array", "items": {"title": "OpenAIFile", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "bytes": {"type": "integer"}, "created_at": {"type": "integer"}, "filename": {"type": "string"}, "purpose": {"type": "string"}, "status": {"type": "string"}, "status_details": {"type": ["object", "null"]}}, "required": ["id", "object", "bytes", "created_at", "filename", "purpose"]}}, "validation_files": {"type": "array", "items": {"title": "OpenAIFile", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "bytes": {"type": "integer"}, "created_at": {"type": "integer"}, "filename": {"type": "string"}, "purpose": {"type": "string"}, "status": {"type": "string"}, "status_details": {"type": ["object", "null"]}}, "required": ["id", "object", "bytes", "created_at", "filename", "purpose"]}}, "result_files": {"type": "array", "items": {"title": "OpenAIFile", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "bytes": {"type": "integer"}, "created_at": {"type": "integer"}, "filename": {"type": "string"}, "purpose": {"type": "string"}, "status": {"type": "string"}, "status_details": {"type": ["object", "null"]}}, "required": ["id", "object", "bytes", "created_at", "filename", "purpose"]}}, "events": {"type": "array", "items": {"title": "FineTuneEvent", "properties": {"object": {"type": "string"}, "created_at": {"type": "integer"}, "level": {"type": "string"}, "message": {"type": "string"}}, "required": ["object", "created_at", "level", "message"]}}}, "required": ["id", "object", "created_at", "updated_at", "model", "fine_tuned_model", "organization_id", "status", "hyperparams", "training_files", "validation_files", "result_files"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/bc484e4e-2768-41a2-99a3-6ff7aac0711c/0/0 | OpenAI | OpenAI official API | 0 | deleteFile | 200 | null | {"id": "", "object": "", "deleted": true} | {"type": "object", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "deleted": {"type": "boolean"}}, "required": ["id", "object", "deleted"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/7c7e9978-5152-4af7-9313-ef889a96b7f0/0/0 | OpenAI | OpenAI official API | 0 | createChatCompletion | create Chat Completion | 200 | Example_1 | {"id": "", "object": "", "created": 0, "model": "", "choices": [{"index": 0, "message": {"role": "system", "content": ""}, "finish_reason": ""}], "usage": {"prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0}} | {"type": "object", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "created": {"type": "integer"}, "model": {"type": "string"}, "choices": {"type": "array", "items": {"type": "object", "properties": {"index": {"type": "integer"}, "message": {"type": "object", "properties": {"role": {"type": "string", "enum": ["system", "user", "assistant"], "description": "The role of the author of this message."}, "content": {"type": "string", "description": "The contents of the message"}}, "required": ["role", "content"]}, "finish_reason": {"type": "string"}}}}, "usage": {"type": "object", "properties": {"prompt_tokens": {"type": "integer"}, "completion_tokens": {"type": "integer"}, "total_tokens": {"type": "integer"}}, "required": ["prompt_tokens", "completion_tokens", "total_tokens"]}}, "required": ["id", "object", "created", "model", "choices"]} |
4befe76b-b4bf-4e3f-8237-fc427b3e137f/7c7e9978-5152-4af7-9313-ef889a96b7f0/0/1 | OpenAI | OpenAI official API | 0 | createChatCompletion | create Chat Completion | 200 | simple example | {"id": "", "object": "", "created": 0, "model": "", "choices": [], "usage": {"prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0}} | {"type": "object", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "created": {"type": "integer"}, "model": {"type": "string"}, "choices": {"type": "array", "items": {"type": "object", "properties": {"index": {"type": "integer"}, "message": {"type": "object", "properties": {"role": {"type": "string", "enum": ["system", "user", "assistant"], "description": "The role of the author of this message."}, "content": {"type": "string", "description": "The contents of the message"}}, "required": ["role", "content"]}, "finish_reason": {"type": "string"}}}}, "usage": {"type": "object", "properties": {"prompt_tokens": {"type": "integer"}, "completion_tokens": {"type": "integer"}, "total_tokens": {"type": "integer"}}, "required": ["prompt_tokens", "completion_tokens", "total_tokens"]}}, "required": ["id", "object", "created", "model", "choices"]} |
4befe76b-b4bf-4e3f-8237-fc427b3e137f/aa1e06a8-7eac-4cfd-8818-4c0fdcc230f3/0/0 | OpenAI | OpenAI official API | 0 | retrieveFineTune | 200 | null | {"id": "", "object": "", "created_at": 0, "updated_at": 0, "model": "", "fine_tuned_model": "", "organization_id": "", "status": "", "hyperparams": {}, "training_files": [{"id": "", "object": "", "bytes": 0, "created_at": 0, "filename": "", "purpose": "", "status": "", "status_details": {}}], "validation_files": [{"id": "", "object": "", "bytes": 0, "created_at": 0, "filename": "", "purpose": "", "status": "", "status_details": {}}], "result_files": [{"id": "", "object": "", "bytes": 0, "created_at": 0, "filename": "", "purpose": "", "status": "", "status_details": {}}], "events": [{"object": "", "created_at": 0, "level": "", "message": ""}]} | {"title": "FineTune", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "created_at": {"type": "integer"}, "updated_at": {"type": "integer"}, "model": {"type": "string"}, "fine_tuned_model": {"type": ["string", "null"]}, "organization_id": {"type": "string"}, "status": {"type": "string"}, "hyperparams": {"type": "object"}, "training_files": {"type": "array", "items": {"title": "OpenAIFile", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "bytes": {"type": "integer"}, "created_at": {"type": "integer"}, "filename": {"type": "string"}, "purpose": {"type": "string"}, "status": {"type": "string"}, "status_details": {"type": ["object", "null"]}}, "required": ["id", "object", "bytes", "created_at", "filename", "purpose"]}}, "validation_files": {"type": "array", "items": {"title": "OpenAIFile", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "bytes": {"type": "integer"}, "created_at": {"type": "integer"}, "filename": {"type": "string"}, "purpose": {"type": "string"}, "status": {"type": "string"}, "status_details": {"type": ["object", "null"]}}, "required": ["id", "object", "bytes", "created_at", "filename", "purpose"]}}, "result_files": {"type": "array", "items": {"title": "OpenAIFile", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "bytes": {"type": "integer"}, "created_at": {"type": "integer"}, "filename": {"type": "string"}, "purpose": {"type": "string"}, "status": {"type": "string"}, "status_details": {"type": ["object", "null"]}}, "required": ["id", "object", "bytes", "created_at", "filename", "purpose"]}}, "events": {"type": "array", "items": {"title": "FineTuneEvent", "properties": {"object": {"type": "string"}, "created_at": {"type": "integer"}, "level": {"type": "string"}, "message": {"type": "string"}}, "required": ["object", "created_at", "level", "message"]}}}, "required": ["id", "object", "created_at", "updated_at", "model", "fine_tuned_model", "organization_id", "status", "hyperparams", "training_files", "validation_files", "result_files"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/6e0bedc1-b5a1-48fe-8c9b-13271e169406/0/0 | OpenAI | OpenAI official API | 0 | createFineTune | 200 | null | {"id": "", "object": "", "created_at": 0, "updated_at": 0, "model": "", "fine_tuned_model": "", "organization_id": "", "status": "", "hyperparams": {}, "training_files": [{"id": "", "object": "", "bytes": 0, "created_at": 0, "filename": "", "purpose": "", "status": "", "status_details": {}}], "validation_files": [{"id": "", "object": "", "bytes": 0, "created_at": 0, "filename": "", "purpose": "", "status": "", "status_details": {}}], "result_files": [{"id": "", "object": "", "bytes": 0, "created_at": 0, "filename": "", "purpose": "", "status": "", "status_details": {}}], "events": [{"object": "", "created_at": 0, "level": "", "message": ""}]} | {"title": "FineTune", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "created_at": {"type": "integer"}, "updated_at": {"type": "integer"}, "model": {"type": "string"}, "fine_tuned_model": {"type": ["string", "null"]}, "organization_id": {"type": "string"}, "status": {"type": "string"}, "hyperparams": {"type": "object"}, "training_files": {"type": "array", "items": {"title": "OpenAIFile", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "bytes": {"type": "integer"}, "created_at": {"type": "integer"}, "filename": {"type": "string"}, "purpose": {"type": "string"}, "status": {"type": "string"}, "status_details": {"type": ["object", "null"]}}, "required": ["id", "object", "bytes", "created_at", "filename", "purpose"]}}, "validation_files": {"type": "array", "items": {"title": "OpenAIFile", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "bytes": {"type": "integer"}, "created_at": {"type": "integer"}, "filename": {"type": "string"}, "purpose": {"type": "string"}, "status": {"type": "string"}, "status_details": {"type": ["object", "null"]}}, "required": ["id", "object", "bytes", "created_at", "filename", "purpose"]}}, "result_files": {"type": "array", "items": {"title": "OpenAIFile", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "bytes": {"type": "integer"}, "created_at": {"type": "integer"}, "filename": {"type": "string"}, "purpose": {"type": "string"}, "status": {"type": "string"}, "status_details": {"type": ["object", "null"]}}, "required": ["id", "object", "bytes", "created_at", "filename", "purpose"]}}, "events": {"type": "array", "items": {"title": "FineTuneEvent", "properties": {"object": {"type": "string"}, "created_at": {"type": "integer"}, "level": {"type": "string"}, "message": {"type": "string"}}, "required": ["object", "created_at", "level", "message"]}}}, "required": ["id", "object", "created_at", "updated_at", "model", "fine_tuned_model", "organization_id", "status", "hyperparams", "training_files", "validation_files", "result_files"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/a3e470d8-80a0-4a69-ae44-5a8adbdcf459/0/0 | OpenAI | OpenAI official API | 0 | createImageEdit | 200 | null | {"created": 0, "data": [{"url": "", "b64_json": ""}]} | {"properties": {"created": {"type": "integer"}, "data": {"type": "array", "items": {"type": "object", "properties": {"url": {"type": "string"}, "b64_json": {"type": "string"}}}}}, "required": ["created", "data"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/4473efaf-1925-4983-ad73-f62ca89f08cb/0/0 | OpenAI | OpenAI official API | 0 | listModels | 200 | null | {"object": "", "data": [{"id": "", "object": "", "created": 0, "owned_by": ""}]} | {"type": "object", "properties": {"object": {"type": "string"}, "data": {"type": "array", "items": {"title": "Model", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "created": {"type": "integer"}, "owned_by": {"type": "string"}}, "required": ["id", "object", "created", "owned_by"]}}}, "required": ["object", "data"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/e8ab7397-d116-4c24-b6ec-2ba38a48ca5e/0/0 | OpenAI | OpenAI official API | 0 | retrieveFile | 200 | null | {"id": "", "object": "", "bytes": 0, "created_at": 0, "filename": "", "purpose": "", "status": "", "status_details": {}} | {"title": "OpenAIFile", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "bytes": {"type": "integer"}, "created_at": {"type": "integer"}, "filename": {"type": "string"}, "purpose": {"type": "string"}, "status": {"type": "string"}, "status_details": {"type": ["object", "null"]}}, "required": ["id", "object", "bytes", "created_at", "filename", "purpose"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/1f80dae7-293c-4605-b4c0-ec0d127337d4/0/0 | OpenAI | OpenAI official API | 0 | createFile | 200 | null | {"id": "", "object": "", "bytes": 0, "created_at": 0, "filename": "", "purpose": "", "status": "", "status_details": {}} | {"title": "OpenAIFile", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "bytes": {"type": "integer"}, "created_at": {"type": "integer"}, "filename": {"type": "string"}, "purpose": {"type": "string"}, "status": {"type": "string"}, "status_details": {"type": ["object", "null"]}}, "required": ["id", "object", "bytes", "created_at", "filename", "purpose"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/0e654a9e-dc5e-4c0e-9028-8ae372e313ab/0/0 | OpenAI | OpenAI official API | 0 | listFiles | 200 | null | {"object": "", "data": [{"id": "", "object": "", "bytes": 0, "created_at": 0, "filename": "", "purpose": "", "status": "", "status_details": {}}]} | {"type": "object", "properties": {"object": {"type": "string"}, "data": {"type": "array", "items": {"title": "OpenAIFile", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "bytes": {"type": "integer"}, "created_at": {"type": "integer"}, "filename": {"type": "string"}, "purpose": {"type": "string"}, "status": {"type": "string"}, "status_details": {"type": ["object", "null"]}}, "required": ["id", "object", "bytes", "created_at", "filename", "purpose"]}}}, "required": ["object", "data"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/299ddde6-6b8c-4018-8681-a969331e94df/0/0 | OpenAI | OpenAI official API | 0 | createCompletion | text completion | 200 | Example_1 | {"id": "", "object": "", "created": 0, "model": "", "choices": [{"text": "", "index": 0, "logprobs": {"tokens": [], "token_logprobs": [], "top_logprobs": [], "text_offset": []}, "finish_reason": ""}], "usage": {"prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0}} | {"type": "object", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "created": {"type": "integer"}, "model": {"type": "string"}, "choices": {"type": "array", "items": {"type": "object", "properties": {"text": {"type": "string"}, "index": {"type": "integer"}, "logprobs": {"type": ["object", "null"], "properties": {"tokens": {"type": "array", "items": {"type": "string"}}, "token_logprobs": {"type": "array", "items": {"type": "number"}}, "top_logprobs": {"type": "array", "items": {"type": "object"}}, "text_offset": {"type": "array", "items": {"type": "integer"}}}}, "finish_reason": {"type": "string"}}}}, "usage": {"type": "object", "properties": {"prompt_tokens": {"type": "integer"}, "completion_tokens": {"type": "integer"}, "total_tokens": {"type": "integer"}}, "required": ["prompt_tokens", "completion_tokens", "total_tokens"]}}, "required": ["id", "object", "created", "model", "choices"]} |
4befe76b-b4bf-4e3f-8237-fc427b3e137f/545b2427-f529-4296-a6fe-6cf88071c68e/0/0 | OpenAI | OpenAI official API | 0 | listEngines | 200 | null | {"object": "", "data": [{"id": "", "object": "", "created": 0, "ready": true}]} | {"type": "object", "properties": {"object": {"type": "string"}, "data": {"type": "array", "items": {"title": "Engine", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "created": {"type": ["integer", "null"]}, "ready": {"type": "boolean"}}, "required": ["id", "object", "created", "ready"]}}}, "required": ["object", "data"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/897953a5-96f1-4c17-b6aa-916b5de07663/0/0 | OpenAI | OpenAI official API | 0 | retrieveEngine | 200 | null | {"id": "", "object": "", "created": 0, "ready": true} | {"title": "Engine", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "created": {"type": ["integer", "null"]}, "ready": {"type": "boolean"}}, "required": ["id", "object", "created", "ready"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/4d69ab85-b837-4255-9293-7df617b29fb8/0/0 | OpenAI | OpenAI official API | 0 | createTranscription | 200 | null | {"text": ""} | {"type": "object", "properties": {"text": {"type": "string"}}, "required": ["text"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/cd471d92-e45a-4cce-a5ba-8ab4a34030d3/0/0 | OpenAI | OpenAI official API | 0 | createImageVariation | 200 | null | {"created": 0, "data": [{"url": "", "b64_json": ""}]} | {"properties": {"created": {"type": "integer"}, "data": {"type": "array", "items": {"type": "object", "properties": {"url": {"type": "string"}, "b64_json": {"type": "string"}}}}}, "required": ["created", "data"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/557d1b64-2473-4cc2-8306-618260f45623/0/0 | OpenAI | OpenAI official API | 0 | createEmbedding | 200 | null | {"object": "", "model": "", "data": [{"index": 0, "object": "", "embedding": []}], "usage": {"prompt_tokens": 0, "total_tokens": 0}} | {"type": "object", "properties": {"object": {"type": "string"}, "model": {"type": "string"}, "data": {"type": "array", "items": {"type": "object", "properties": {"index": {"type": "integer"}, "object": {"type": "string"}, "embedding": {"type": "array", "items": {"type": "number"}}}, "required": ["index", "object", "embedding"]}}, "usage": {"type": "object", "properties": {"prompt_tokens": {"type": "integer"}, "total_tokens": {"type": "integer"}}, "required": ["prompt_tokens", "total_tokens"]}}, "required": ["object", "model", "data", "usage"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/be1b9a71-f6dd-4680-958e-b9fae4b650c6/0/0 | OpenAI | OpenAI official API | 0 | deleteModel | 200 | null | {"id": "", "object": "", "deleted": true} | {"type": "object", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "deleted": {"type": "boolean"}}, "required": ["id", "object", "deleted"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/dcb72c6b-c8bc-46d0-9260-c0ba8f02ebee/0/0 | OpenAI | OpenAI official API | 0 | createEdit | 200 | null | {"object": "", "created": 0, "choices": [{"text": "", "index": 0, "logprobs": {"tokens": [], "token_logprobs": [], "top_logprobs": [], "text_offset": []}, "finish_reason": ""}], "usage": {"prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0}} | {"type": "object", "properties": {"object": {"type": "string"}, "created": {"type": "integer"}, "choices": {"type": "array", "items": {"type": "object", "properties": {"text": {"type": "string"}, "index": {"type": "integer"}, "logprobs": {"type": ["object", "null"], "properties": {"tokens": {"type": "array", "items": {"type": "string"}}, "token_logprobs": {"type": "array", "items": {"type": "number"}}, "top_logprobs": {"type": "array", "items": {"type": "object"}}, "text_offset": {"type": "array", "items": {"type": "integer"}}}}, "finish_reason": {"type": "string"}}}}, "usage": {"type": "object", "properties": {"prompt_tokens": {"type": "integer"}, "completion_tokens": {"type": "integer"}, "total_tokens": {"type": "integer"}}, "required": ["prompt_tokens", "completion_tokens", "total_tokens"]}}, "required": ["object", "created", "choices", "usage"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/9843743e-42f3-4135-87a7-55bc3e833544/0/0 | OpenAI | OpenAI official API | 0 | listFineTunes | 200 | null | {"object": "", "data": [{"id": "", "object": "", "created_at": 0, "updated_at": 0, "model": "", "fine_tuned_model": "", "organization_id": "", "status": "", "hyperparams": {}, "training_files": [{"id": "", "object": "", "bytes": 0, "created_at": 0, "filename": "", "purpose": "", "status": "", "status_details": {}}], "validation_files": [{"id": "", "object": "", "bytes": 0, "created_at": 0, "filename": "", "purpose": "", "status": "", "status_details": {}}], "result_files": [{"id": "", "object": "", "bytes": 0, "created_at": 0, "filename": "", "purpose": "", "status": "", "status_details": {}}], "events": [{"object": "", "created_at": 0, "level": "", "message": ""}]}]} | {"type": "object", "properties": {"object": {"type": "string"}, "data": {"type": "array", "items": {"title": "FineTune", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "created_at": {"type": "integer"}, "updated_at": {"type": "integer"}, "model": {"type": "string"}, "fine_tuned_model": {"type": ["string", "null"]}, "organization_id": {"type": "string"}, "status": {"type": "string"}, "hyperparams": {"type": "object"}, "training_files": {"type": "array", "items": {"title": "OpenAIFile", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "bytes": {"type": "integer"}, "created_at": {"type": "integer"}, "filename": {"type": "string"}, "purpose": {"type": "string"}, "status": {"type": "string"}, "status_details": {"type": ["object", "null"]}}, "required": ["id", "object", "bytes", "created_at", "filename", "purpose"]}}, "validation_files": {"type": "array", "items": {"title": "OpenAIFile", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "bytes": {"type": "integer"}, "created_at": {"type": "integer"}, "filename": {"type": "string"}, "purpose": {"type": "string"}, "status": {"type": "string"}, "status_details": {"type": ["object", "null"]}}, "required": ["id", "object", "bytes", "created_at", "filename", "purpose"]}}, "result_files": {"type": "array", "items": {"title": "OpenAIFile", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "bytes": {"type": "integer"}, "created_at": {"type": "integer"}, "filename": {"type": "string"}, "purpose": {"type": "string"}, "status": {"type": "string"}, "status_details": {"type": ["object", "null"]}}, "required": ["id", "object", "bytes", "created_at", "filename", "purpose"]}}, "events": {"type": "array", "items": {"title": "FineTuneEvent", "properties": {"object": {"type": "string"}, "created_at": {"type": "integer"}, "level": {"type": "string"}, "message": {"type": "string"}}, "required": ["object", "created_at", "level", "message"]}}}, "required": ["id", "object", "created_at", "updated_at", "model", "fine_tuned_model", "organization_id", "status", "hyperparams", "training_files", "validation_files", "result_files"]}}}, "required": ["object", "data"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/aaf61b39-f23d-4e93-b2a2-86daa04a225f/0/0 | OpenAI | OpenAI official API | 0 | createAnswer | 200 | null | {"object": "", "model": "", "search_model": "", "completion": "", "answers": [], "selected_documents": [{"document": 0, "text": ""}]} | {"type": "object", "properties": {"object": {"type": "string"}, "model": {"type": "string"}, "search_model": {"type": "string"}, "completion": {"type": "string"}, "answers": {"type": "array", "items": {"type": "string"}}, "selected_documents": {"type": "array", "items": {"type": "object", "properties": {"document": {"type": "integer"}, "text": {"type": "string"}}}}}} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/7c39041e-c824-45e3-a5eb-22a4127d3baa/0/0 | OpenAI | OpenAI official API | 0 | retrieveModel | 200 | null | {"id": "", "object": "", "created": 0, "owned_by": ""} | {"title": "Model", "properties": {"id": {"type": "string"}, "object": {"type": "string"}, "created": {"type": "integer"}, "owned_by": {"type": "string"}}, "required": ["id", "object", "created", "owned_by"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/9cbd1b04-23e2-44c8-95bc-05b85e723ea1/0/0 | OpenAI | OpenAI official API | 0 | createModeration | 200 | null | {"id": "", "model": "", "results": [{"flagged": true, "categories": {"hate": true, "hate/threatening": true, "self-harm": true, "sexual": true, "sexual/minors": true, "violence": true, "violence/graphic": true}, "category_scores": {"hate": 0, "hate/threatening": 0, "self-harm": 0, "sexual": 0, "sexual/minors": 0, "violence": 0, "violence/graphic": 0}}]} | {"type": "object", "properties": {"id": {"type": "string"}, "model": {"type": "string"}, "results": {"type": "array", "items": {"type": "object", "properties": {"flagged": {"type": "boolean"}, "categories": {"type": "object", "properties": {"hate": {"type": "boolean"}, "hate/threatening": {"type": "boolean"}, "self-harm": {"type": "boolean"}, "sexual": {"type": "boolean"}, "sexual/minors": {"type": "boolean"}, "violence": {"type": "boolean"}, "violence/graphic": {"type": "boolean"}}, "required": ["hate", "hate/threatening", "self-harm", "sexual", "sexual/minors", "violence", "violence/graphic"]}, "category_scores": {"type": "object", "properties": {"hate": {"type": "number"}, "hate/threatening": {"type": "number"}, "self-harm": {"type": "number"}, "sexual": {"type": "number"}, "sexual/minors": {"type": "number"}, "violence": {"type": "number"}, "violence/graphic": {"type": "number"}}, "required": ["hate", "hate/threatening", "self-harm", "sexual", "sexual/minors", "violence", "violence/graphic"]}}, "required": ["flagged", "categories", "category_scores"]}}}, "required": ["id", "model", "results"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/5f1cb117-fc0f-47bd-9b38-41bc11d5dbb1/0/0 | OpenAI | OpenAI official API | 0 | createImage | 200 | null | {"created": 0, "data": [{"url": "", "b64_json": ""}]} | {"properties": {"created": {"type": "integer"}, "data": {"type": "array", "items": {"type": "object", "properties": {"url": {"type": "string"}, "b64_json": {"type": "string"}}}}}, "required": ["created", "data"]} |
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4befe76b-b4bf-4e3f-8237-fc427b3e137f/0b977471-6edb-4da4-ab35-9c9b58ed4152/0/0 | OpenAI | OpenAI official API | 0 | listFineTuneEvents | 200 | null | {"object": "", "data": [{"object": "", "created_at": 0, "level": "", "message": ""}]} | {"type": "object", "properties": {"object": {"type": "string"}, "data": {"type": "array", "items": {"title": "FineTuneEvent", "properties": {"object": {"type": "string"}, "created_at": {"type": "integer"}, "level": {"type": "string"}, "message": {"type": "string"}}, "required": ["object", "created_at", "level", "message"]}}}, "required": ["object", "data"]} |
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ed2e27f9-c527-4ad7-be3d-e67e6fbaa47b/b2f0217e-9cc6-4bc5-88c3-167d33911d39/0/0 | Varna Test API | testing | null | /hello | Returns a simple "Hello, World!" message. | 200 | null | {"message": "Hello, World!"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"message": {"type": "string"}}, "required": ["message"]} |
596f0fd6-514b-4086-9787-204692451f67/ad41c706-2879-4105-a31a-2ade9e2d56b0/1/0 | Unchained.chat API | Unchained.chat API is a censorship free, cutting-edge natural language processing service, enabling developers to easily integrate human-like conversational features in applications. It offers advanced capabilities such as answering questions, generating content, and translating languages to enhance user experiences and drive innovation. | null | prompt_prompt_post | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
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f54a5c7a-baea-4d72-8791-f548847b424e/be76861a-b466-43c9-bd9d-16c328ce0527/0/0 | JS Code Interpreter | Let your AI Agent run JS code with access to 1 Million+ NPM's packages in a simple API call using Deno JS runtime | null | Run Code |
Import npm packeges using esm.sh with import syntax
import axios from "https://esm.sh/axios";
Define export default function for response
export default () => "Hello World";
| 200 | New Example | {"joke": "Knock-knock. A race condition. Who is there?", "sentiment": "neutral"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"joke": {"type": "string"}, "sentiment": {"type": "string"}}, "required": ["joke", "sentiment"]} |
4666f1cb-4f12-48e1-a563-6eb44edb4525/66b51048-6004-43e7-9c91-b542f607b4ed/1/0 | testddd | ai | null | CSISApi/ws1/CSIS_CLAIM_DETAILS | This API is Used to Get The List of CSIS Claim Details | 200 | null | {"rs": "S", "rc": 200, "rd": "Success.", "pd": "\\\"VENDOR_ID\\\":\\\"UMANG\\\",\\\"METHOD_ID\\\":\\\"078\\\",\\\"RESPONSE_CODE\\\":\\\"1\\\",\\\"RESPONSE_ENC\\\":\\\"sp3OguQAn5Gi2A08IT7wUNZ7KmvsKpDeVgeb3R"} | {"type": "object", "properties": {"rs": {"type": "string", "description": "Response Status"}, "rc": {"type": "string", "description": "Response Code"}, "rd": {"type": "string", "description": "Response Description"}, "pd": {"type": "string", "description": "claim details"}}} |
4666f1cb-4f12-48e1-a563-6eb44edb4525/20d52353-91a5-428f-ace4-4365cea33a1c/1/0 | testddd | ai | null | CSISApi/ws1/CSIS_BANK_NAME | This API is Used to Get the List of CSIS Bank Names | 200 | null | {"rs": "S", "rc": 200, "rd": "Success.", "pd": [{"BK_CODE": 856, "BK_NAME": "ABHYUDAYA CO-OP BANK LTD"}]} | {"type": "object", "properties": {"rs": {"type": "string", "description": "Response Status"}, "rc": {"type": "string", "description": "Response Code"}, "rd": {"type": "string", "description": "Response Description"}, "pd": {"type": "array", "description": "Response Payload", "items": {"type": "object", "properties": {"BK_CODE": {"type": "integer", "description": "bk code"}, "BK_NAME": {"type": "string", "description": "bank name"}}}}}} |
fc4a5c16-bd9e-42a2-9e75-517b1a527a67/fe1cd969-6e6d-4a37-b274-16e41d968405/0/0 | OpenManual | The most successful startups (e.g. Stripe, Dropbox, Reddit) are the simplest to use. Programmatically synthesize, ingest, update and interact with all of your API documentation. Spend less time reading which translates to 2-8x user conversion through a self-directed, intuitive, onboarding experience. Add to your own landing page via an auto-generated, embeddable widget (e.g. a chatbot for api documentation)
[email protected] - ping for direct access | null | answer | Context[string]: plaintext or domain-url
Prompt[string]: plaintext
Note: url will detect automatically any context beginning with 'https'. Capped at 5000 tokens. | 401 | Response | {"message": "This endpoint is disabled for your subscription"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"message": {"type": "string"}}, "required": ["message"]} |
08a5bd94-24be-4492-b5f4-0dd9f94e6393/8b8f70e0-4888-4ab9-af4e-06602119fa36/0/0 | ai-emailid-validator | 🚀 Elevate Your Email Marketing with AI-Powered Precision! | null | validate email id | AI powered Email validation | 200 | Valid | {"email_id": "[email protected]", "result": true, "message": "Valid", "confidence": "Very High", "confidence_score": 1} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"email_id": {"type": "string"}, "result": {"type": "boolean"}, "message": {"type": "string"}, "confidence": {"type": "string"}, "confidence_score": {"type": "integer"}}, "required": ["confidence", "confidence_score", "email_id", "message", "result"]} |
08a5bd94-24be-4492-b5f4-0dd9f94e6393/8b8f70e0-4888-4ab9-af4e-06602119fa36/0/1 | ai-emailid-validator | 🚀 Elevate Your Email Marketing with AI-Powered Precision! | null | validate email id | AI powered Email validation | 200 | Gibberish | {"email_id": "[email protected]", "result": false, "message": "Gibberish User Name", "confidence": "High", "confidence_score": 0.9895602464675903} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"email_id": {"type": "string"}, "result": {"type": "boolean"}, "message": {"type": "string"}, "confidence": {"type": "string"}, "confidence_score": {"type": "number"}}, "required": ["confidence", "confidence_score", "email_id", "message", "result"]} |
9f3e9bc4-1438-404a-a55e-503315301fcf/4fabfab0-0316-45dc-82c3-dee92cdc5c22/0/0 | image2json | extract any structured text from any image by just providing the desired output json format | null | Core | Provide image url and desired output and extract data from any image | 200 | Response | {"extracted_text": "text ... ", "structured_data": {"suplier_name": "SHOP NAME", "currency": "N/A"}, "output": "{\"suplier_name\": \"SHOP NAME\", \"currency\": \"N/A\"}"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"extracted_text": {"type": "string"}, "structured_data": {"type": "object", "properties": {"suplier_name": {"type": "string"}, "currency": {"type": "string"}}, "required": ["currency", "suplier_name"]}, "output": {"type": "string"}}, "required": ["extracted_text", "output", "structured_data"]} |
41673b39-6d44-4227-b14f-bf8fa12a70d1/47c09971-c2d8-4e8c-bee4-f05936e0f65f/0/0 | Text To Speech - Realistic AI Voices | Our state-of-the-art multilingual AI model text to speech, is able to generate life-like speech in 28 languages. | 8.7 | Voices | Get a list of all available voices. | 200 | 200 Status | [{"voice_id": "21m00Tcm4TlvDq8ikWAM", "name": "Rachel", "gender": "female", "age": "young", "accent": "american", "description": "calm", "use_case": "narration", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/21m00Tcm4TlvDq8ikWAM/preview"}, {"voice_id": "2EiwWnXFnvU5JabPnv8n", "name": "Clyde", "gender": "male", "age": "middle aged", "accent": "american", "description": "war veteran", "use_case": "video games", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/2EiwWnXFnvU5JabPnv8n/preview"}, {"voice_id": "AZnzlk1XvdvUeBnXmlld", "name": "Domi", "gender": "female", "age": "young", "accent": "american", "description": "strong", "use_case": "narration", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/AZnzlk1XvdvUeBnXmlld/preview"}, {"voice_id": "CYw3kZ02Hs0563khs1Fj", "name": "Dave", "gender": "male", "age": "young", "accent": "british-essex", "description": "conversational", "use_case": "video games", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/CYw3kZ02Hs0563khs1Fj/preview"}, {"voice_id": "D38z5RcWu1voky8WS1ja", "name": "Fin", "gender": "male", "age": "old", "accent": "irish", "description": "sailor", "use_case": "video games", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/D38z5RcWu1voky8WS1ja/preview"}, {"voice_id": "EXAVITQu4vr4xnSDxMaL", "name": "Bella", "gender": "female", "age": "young", "accent": "american", "description": "soft", "use_case": "narration", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/EXAVITQu4vr4xnSDxMaL/preview"}, {"voice_id": "ErXwobaYiN019PkySvjV", "name": "Antoni", "gender": "male", "age": "young", "accent": "american", "description": "well-rounded", "use_case": "narration", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/ErXwobaYiN019PkySvjV/preview"}, {"voice_id": "GBv7mTt0atIp3Br8iCZE", "name": "Thomas", "gender": "male", "age": "young", "accent": "american", "description": "calm", "use_case": "meditation", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/GBv7mTt0atIp3Br8iCZE/preview"}, {"voice_id": "IKne3meq5aSn9XLyUdCD", "name": "Charlie", "gender": "male", "age": "middle aged", "accent": "australian", "description": "casual", "use_case": "conversational", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/IKne3meq5aSn9XLyUdCD/preview"}, {"voice_id": "LcfcDJNUP1GQjkzn1xUU", "name": "Emily", "gender": "female", "age": "young", "accent": "american", "description": "calm", "use_case": "meditation", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/LcfcDJNUP1GQjkzn1xUU/preview"}, {"voice_id": "MF3mGyEYCl7XYWbV9V6O", "name": "Elli", "gender": "female", "age": "young", "accent": "american", "description": "emotional", "use_case": "narration", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/MF3mGyEYCl7XYWbV9V6O/preview"}, {"voice_id": "N2lVS1w4EtoT3dr4eOWO", "name": "Callum", "gender": "male", "age": "middle aged", "accent": "american", "description": "hoarse", "use_case": "video games", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/N2lVS1w4EtoT3dr4eOWO/preview"}, {"voice_id": "ODq5zmih8GrVes37Dizd", "name": "Patrick", "gender": "male", "age": "middle aged", "accent": "american", "description": "shouty", "use_case": "video games", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/ODq5zmih8GrVes37Dizd/preview"}, {"voice_id": "SOYHLrjzK2X1ezoPC6cr", "name": "Harry", "gender": "male", "age": "young", "accent": "american", "description": "anxious", "use_case": "video games", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/SOYHLrjzK2X1ezoPC6cr/preview"}, {"voice_id": "TX3LPaxmHKxFdv7VOQHJ", "name": "Liam", "gender": "male", "age": "young", "accent": "american", "description": "neutral", "use_case": "narration", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/TX3LPaxmHKxFdv7VOQHJ/preview"}, {"voice_id": "ThT5KcBeYPX3keUQqHPh", "name": "Dorothy", "gender": "female", "age": "young", "accent": "british", "description": "pleasant", "use_case": "children's stories", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/ThT5KcBeYPX3keUQqHPh/preview"}, {"voice_id": "TxGEqnHWrfWFTfGW9XjX", "name": "Josh", "gender": "male", "age": "young", "accent": "american", "description": "deep", "use_case": "narration", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/TxGEqnHWrfWFTfGW9XjX/preview"}, {"voice_id": "VR6AewLTigWG4xSOukaG", "name": "Arnold", "gender": "male", "age": "middle aged", "accent": "american", "description": "crisp", "use_case": "narration", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/VR6AewLTigWG4xSOukaG/preview"}, {"voice_id": "XB0fDUnXU5powFXDhCwa", "name": "Charlotte", "gender": "female", "age": "middle aged", "accent": "english-swedish", "description": "seductive", "use_case": "video games", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/XB0fDUnXU5powFXDhCwa/preview"}, {"voice_id": "XrExE9yKIg1WjnnlVkGX", "name": "Matilda", "gender": "female", "age": "young", "accent": "american", "description": "warm", "use_case": "audiobook", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/XrExE9yKIg1WjnnlVkGX/preview"}, {"voice_id": "Yko7PKHZNXotIFUBG7I9", "name": "Matthew", "gender": "male", "age": "middle aged", "accent": "british", "description": "calm", "use_case": "audiobook", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/Yko7PKHZNXotIFUBG7I9/preview"}, {"voice_id": "ZQe5CZNOzWyzPSCn5a3c", "name": "James", "gender": "male", "age": "old", "accent": "australian", "description": "calm ", "use_case": "news", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/ZQe5CZNOzWyzPSCn5a3c/preview"}, {"voice_id": "Zlb1dXrM653N07WRdFW3", "name": "Joseph", "gender": "male", "age": "middle aged", "accent": "british", "description": "ground reporter ", "use_case": "news", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/Zlb1dXrM653N07WRdFW3/preview"}, {"voice_id": "bVMeCyTHy58xNoL34h3p", "name": "Jeremy", "gender": "male", "age": "young", "accent": "american-irish", "description": "excited", "use_case": "narration", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/bVMeCyTHy58xNoL34h3p/preview"}, {"voice_id": "flq6f7yk4E4fJM5XTYuZ", "name": "Michael", "gender": "male", "age": "old", "accent": "american", "description": "orotund", "use_case": "audiobook", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/flq6f7yk4E4fJM5XTYuZ/preview"}, {"voice_id": "g5CIjZEefAph4nQFvHAz", "name": "Ethan", "gender": "male", "age": "young", "accent": "american", "description": "whisper", "use_case": "ASMR", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/g5CIjZEefAph4nQFvHAz/preview"}, {"voice_id": "jBpfuIE2acCO8z3wKNLl", "name": "Gigi", "gender": "female", "age": "young", "accent": "american", "description": "childlish", "use_case": "animation", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/jBpfuIE2acCO8z3wKNLl/preview"}, {"voice_id": "jsCqWAovK2LkecY7zXl4", "name": "Freya", "gender": "female", "age": "young", "accent": "american", "description": "overhyped", "use_case": "video games", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/jsCqWAovK2LkecY7zXl4/preview"}, {"voice_id": "oWAxZDx7w5VEj9dCyTzz", "name": "Grace", "gender": "female", "age": "young", "accent": "american-southern", "description": "gentle", "use_case": "audiobook ", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/oWAxZDx7w5VEj9dCyTzz/preview"}, {"voice_id": "onwK4e9ZLuTAKqWW03F9", "name": "Daniel", "gender": "male", "age": "middle aged", "accent": "british", "description": "deep", "use_case": "news presenter", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/onwK4e9ZLuTAKqWW03F9/preview"}, {"voice_id": "pMsXgVXv3BLzUgSXRplE", "name": "Serena", "gender": "female", "age": "middle aged", "accent": "american", "description": "pleasant", "use_case": "interactive", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/pMsXgVXv3BLzUgSXRplE/preview"}, {"voice_id": "pNInz6obpgDQGcFmaJgB", "name": "Adam", "gender": "male", "age": "middle aged", "accent": "american", "description": "deep", "use_case": "narration", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/pNInz6obpgDQGcFmaJgB/preview"}, {"voice_id": "piTKgcLEGmPE4e6mEKli", "name": "Nicole", "gender": "female", "age": "young", "accent": "american", "description": "whisper", "use_case": "audiobook", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/piTKgcLEGmPE4e6mEKli/preview"}, {"voice_id": "t0jbNlBVZ17f02VDIeMI", "name": "Jessie", "gender": "male", "age": "old", "accent": "american", "description": "raspy ", "use_case": "video games", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/t0jbNlBVZ17f02VDIeMI/preview"}, {"voice_id": "wViXBPUzp2ZZixB1xQuM", "name": "Ryan", "gender": "male", "age": "middle aged", "accent": "american", "description": "soldier", "use_case": "audiobook", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/wViXBPUzp2ZZixB1xQuM/preview"}, {"voice_id": "yoZ06aMxZJJ28mfd3POQ", "name": "Sam", "gender": "male", "age": "young", "accent": "american", "description": "raspy", "use_case": "narration", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/yoZ06aMxZJJ28mfd3POQ/preview"}, {"voice_id": "z9fAnlkpzviPz146aGWa", "name": "Glinda", "gender": "female", "age": "middle aged", "accent": "american", "description": "witch", "use_case": "video games", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/z9fAnlkpzviPz146aGWa/preview"}, {"voice_id": "zcAOhNBS3c14rBihAFp1", "name": "Giovanni", "gender": "male", "age": "young", "accent": "english-italian", "description": "foreigner", "use_case": "audiobook", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/zcAOhNBS3c14rBihAFp1/preview"}, {"voice_id": "zrHiDhphv9ZnVXBqCLjz", "name": "Mimi", "gender": "female", "age": "young", "accent": "english-swedish", "description": "childish", "use_case": "animation", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/zrHiDhphv9ZnVXBqCLjz/preview"}, {"voice_id": "r1SWzmggzG31CUL3vave", "name": "Silas - stern british male", "gender": "male", "age": "middle_aged", "accent": "british", "description": "confident", "use_case": "narrative_story", "preview_url": "https://text-to-speech-realistic-ai-voices.p.rapidapi.com/voice/r1SWzmggzG31CUL3vave/preview"}] | {"type": "array", "items": {"type": "object", "properties": {"voice_id": {"type": "string"}, "name": {"type": "string"}, "gender": {"type": "string"}, "age": {"type": "string"}, "accent": {"type": "string"}, "description": {"type": "string"}, "use_case": {"type": "string"}, "preview_url": {"type": "string"}}}} |
7c7cc075-da3e-4ed9-be02-36f26f0dc0f3/b5211405-a5ab-4676-8c5c-be298663e1c0/0/0 | Dream Diffusion | Train Stable Diffusion models in 8 minutes and generate custom images. | 5.8 | GetGeneration | Gets the generation status and generated images | 200 | Example Response | {"uuid": "c2d620eb-8d1a-4bda-b609-d2000858f22f", "status": "success", "image_urls": ["https://fra1.digitaloceanspaces.com/imaginator/lora-generation/result_FxRzS4T.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=DO00JJQFZDQUBQRBE2GY%2F20230306%2Ffra1%2Fs3%2Faws4_request&X-Amz-Date=20230306T203448Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=3b8e750f4b581314d4168d5af3cd0386aac7c64fa1056e36cf1b2510cce721e0", "https://fra1.digitaloceanspaces.com/imaginator/lora-generation/result_MUIY2cE.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=DO00JJQFZDQUBQRBE2GY%2F20230306%2Ffra1%2Fs3%2Faws4_request&X-Amz-Date=20230306T203448Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=6818cb024f5e9f5b57219b001e1c045d5ed06cd5129d71506e6fd9ce66853b02", "https://fra1.digitaloceanspaces.com/imaginator/lora-generation/result_6aWWP5o.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=DO00JJQFZDQUBQRBE2GY%2F20230306%2Ffra1%2Fs3%2Faws4_request&X-Amz-Date=20230306T203448Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=dd04b2fde1cae995aad6a9295d6e23b8d35f4efdb01fc2053c143bc53666036c"]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"uuid": {"type": "string"}, "status": {"type": "string"}, "image_urls": {"type": "array", "items": {"type": "string"}}}, "required": ["image_urls", "status", "uuid"]} |
7c7cc075-da3e-4ed9-be02-36f26f0dc0f3/4ff39952-cd0b-4a4b-a10a-8a94ba2c5a61/0/0 | Dream Diffusion | Train Stable Diffusion models in 8 minutes and generate custom images. | 5.8 | GetTraining | Gets the training status | 200 | Example Response | {"uuid": "95a0cdaa-0b16-45f7-9da6-ce4f43835d0d", "status": "success", "zip_file": "https://fra1.digitaloceanspaces.com/imaginator/lora-training/1287_5pLhkU1.zip?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=DO00JJQFZDQUBQRBE2GY%2F20230306%2Ffra1%2Fs3%2Faws4_request&X-Amz-Date=20230306T202602Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=01efad50b85b5f137a61a6f8a8fda113fcca3e5eb01c4a20b361b57953c171d9"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"uuid": {"type": "string"}, "status": {"type": "string"}, "zip_file": {"type": "string"}}, "required": ["status", "uuid", "zip_file"]} |
7c7cc075-da3e-4ed9-be02-36f26f0dc0f3/04c53ab4-18ea-4132-b190-bfdf01db8a1a/0/0 | Dream Diffusion | Train Stable Diffusion models in 8 minutes and generate custom images. | 5.8 | CreateGeneration | Generation of an image using the prompt and the pre-trained model.
Use < 1 > to refer to the trained model subject. | 200 | ExampleResponse | {"uuid": "c2d620eb-8d1a-4bda-b609-d2000858f22f", "status": "generating", "image_urls": ["https://fra1.digitaloceanspaces.com/imaginator/lora-generation/result_FxRzS4T.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=DO00JJQFZDQUBQRBE2GY%2F20230306%2Ffra1%2Fs3%2Faws4_request&X-Amz-Date=20230306T203448Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=3b8e750f4b581314d4168d5af3cd0386aac7c64fa1056e36cf1b2510cce721e0", "https://fra1.digitaloceanspaces.com/imaginator/lora-generation/result_MUIY2cE.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=DO00JJQFZDQUBQRBE2GY%2F20230306%2Ffra1%2Fs3%2Faws4_request&X-Amz-Date=20230306T203448Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=6818cb024f5e9f5b57219b001e1c045d5ed06cd5129d71506e6fd9ce66853b02", "https://fra1.digitaloceanspaces.com/imaginator/lora-generation/result_6aWWP5o.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=DO00JJQFZDQUBQRBE2GY%2F20230306%2Ffra1%2Fs3%2Faws4_request&X-Amz-Date=20230306T203448Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=dd04b2fde1cae995aad6a9295d6e23b8d35f4efdb01fc2053c143bc53666036c"]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"uuid": {"type": "string"}, "status": {"type": "string"}, "image_urls": {"type": "array", "items": {"type": "string"}}}, "required": ["image_urls", "status", "uuid"]} |
7c7cc075-da3e-4ed9-be02-36f26f0dc0f3/3bbe66b5-bbb8-427e-8ae1-ff9990083552/0/0 | Dream Diffusion | Train Stable Diffusion models in 8 minutes and generate custom images. | 5.8 | CreateTraining | Train the Stable Diffusion model.
The parameters are as follows:
- file => zip file of at least 10 images (max 512x512) of the subject to train
- seed => seed to replicate training if needed
- task => can be from type face, subject or style | 200 | Example Response | {"uuid": "95a0cdaa-0b16-45f7-9da6-ce4f43835d0d", "status": "training", "zip_file": "https://fra1.digitaloceanspaces.com/imaginator/lora-training/1287_5pLhkU1.zip?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=DO00JJQFZDQUBQRBE2GY%2F20230306%2Ffra1%2Fs3%2Faws4_request&X-Amz-Date=20230306T202602Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=01efad50b85b5f137a61a6f8a8fda113fcca3e5eb01c4a20b361b57953c171d9"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"uuid": {"type": "string"}, "status": {"type": "string"}, "zip_file": {"type": "string"}}, "required": ["status", "uuid", "zip_file"]} |
9adce0dc-b402-465b-85ad-27de386b1b5b/f9b1e3e0-33ec-4a32-bd16-146f3114e178/1/0 | ezML | Computer vision integration made simple. | null | verify_api_v1_auth_verify_get | Verify token by listing the permissions of the access token | 200 | null | {"permissions": [{"method": "", "object": ""}]} | {"title": "Permissions", "required": ["permissions"], "type": "object", "properties": {"permissions": {"title": "List of permissions", "type": "array", "items": {"title": "Permission", "required": ["method", "object"], "type": "object", "properties": {"method": {"title": "Method", "type": "string", "description": "Method (group) of the endpoint"}, "object": {"title": "Object", "type": "string", "description": "Object (function) of the endpoint"}}}, "description": "List of all functions user has access to"}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/447e55ba-73ee-4a37-833a-fa18d092f6b9/2/0 | ezML | Computer vision integration made simple. | null | authenticate_api_v1_auth_post | Using your provided key and secret request an access code, the access code has a 24h TTL | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/447e55ba-73ee-4a37-833a-fa18d092f6b9/3/0 | ezML | Computer vision integration made simple. | null | authenticate_api_v1_auth_post | Using your provided key and secret request an access code, the access code has a 24h TTL | 200 | null | {"access_token": ""} | {"title": "AccessToken", "required": ["access_token"], "type": "object", "properties": {"access_token": {"title": "Access Token", "type": "string", "description": "Access token to use for `Authorization` header"}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/fd4fce3a-ee82-4b51-85e6-ac3dc23df244/2/0 | ezML | Computer vision integration made simple. | null | sensitive_content_detection_api_v1_functions_sensitive_content_detection_post | Model specialized in detecting sensitive content (nsfw or nsfl) | 200 | null | {"status": "", "result": {"not_work_safe": 0, "not_life_safe": 0}} | {"title": "SensitiveContentDetectionResult", "required": ["status"], "type": "object", "properties": {"status": {"title": "Request Status", "type": "string", "description": "Status of inference request: `success` or `error`"}, "result": {"title": "Sensitive Content Status", "allOf": [{"title": "SensitiveContentStatus", "required": ["not_work_safe", "not_life_safe"], "type": "object", "properties": {"not_work_safe": {"title": "Not work safe", "type": "number", "description": "Strength from 0 to 1"}, "not_life_safe": {"title": "Not life safe", "type": "number", "description": "Strength from 0 to 1"}}}], "description": "Status of sensitive content: not work safe or not life safe 0 to 1"}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/fd4fce3a-ee82-4b51-85e6-ac3dc23df244/3/0 | ezML | Computer vision integration made simple. | null | sensitive_content_detection_api_v1_functions_sensitive_content_detection_post | Model specialized in detecting sensitive content (nsfw or nsfl) | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/e58318d9-4526-4eba-86ac-e3f5ffff3771/3/0 | ezML | Computer vision integration made simple. | null | people_detection_api_v1_functions_people_detection_post | Model specialized to detecting people from images | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/e58318d9-4526-4eba-86ac-e3f5ffff3771/4/0 | ezML | Computer vision integration made simple. | null | people_detection_api_v1_functions_people_detection_post | Model specialized to detecting people from images | 200 | null | {"status": "", "result": [{"bbox": [], "conf": 0, "label": ""}]} | {"title": "InferenceResultDetection", "required": ["status", "result"], "type": "object", "properties": {"status": {"title": "status", "type": "string", "description": "Status of inference request: `success` or `error`"}, "result": {"title": "list of detections", "type": "array", "items": {"title": "BasicInferenceResult", "required": ["bbox", "conf", "label"], "type": "object", "properties": {"bbox": {"title": "Bbox", "maxItems": 4, "minItems": 4, "type": "array", "items": {"type": "number"}}, "conf": {"title": "confidence", "type": "number", "description": "Confidence of object detection, between 0 and 1"}, "label": {"title": "label", "type": "string", "description": "Label of object or text detected"}}}, "description": "List of detections with bbox, conf, and label"}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/ee0a356d-649c-4035-864d-767882f18152/0/0 | ezML | Computer vision integration made simple. | null | furniture_detection_api_v1_functions_furniture_detection_post | Model specialized in detecting common furniture in images. Check out our docs to learn more | 200 | null | {"status": "", "result": [{"bbox": [], "conf": 0, "label": ""}]} | {"title": "InferenceResultDetection", "required": ["status", "result"], "type": "object", "properties": {"status": {"title": "status", "type": "string", "description": "Status of inference request: `success` or `error`"}, "result": {"title": "list of detections", "type": "array", "items": {"title": "BasicInferenceResult", "required": ["bbox", "conf", "label"], "type": "object", "properties": {"bbox": {"title": "Bbox", "maxItems": 4, "minItems": 4, "type": "array", "items": {"type": "number"}}, "conf": {"title": "confidence", "type": "number", "description": "Confidence of object detection, between 0 and 1"}, "label": {"title": "label", "type": "string", "description": "Label of object or text detected"}}}, "description": "List of detections with bbox, conf, and label"}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/ee0a356d-649c-4035-864d-767882f18152/1/0 | ezML | Computer vision integration made simple. | null | furniture_detection_api_v1_functions_furniture_detection_post | Model specialized in detecting common furniture in images. Check out our docs to learn more | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/b6cbe01f-f944-4883-9ece-dcdfc3628750/1/0 | ezML | Computer vision integration made simple. | null | summary_api_v1_metrics_summary_get | Gets a summary of the statistics for a timeframe: requests and model_usage | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/b6cbe01f-f944-4883-9ece-dcdfc3628750/3/0 | ezML | Computer vision integration made simple. | null | summary_api_v1_metrics_summary_get | Gets a summary of the statistics for a timeframe: requests and model_usage | 200 | null | {"requests": [{"status": "", "duration": 0, "timestamp": ""}], "model_usage": [{"type": "", "timestamp": ""}]} | {"title": "SummaryResponse", "required": ["requests", "model_usage"], "type": "object", "properties": {"requests": {"title": "List of requests", "type": "array", "items": {"title": "InfluxRequestMetric", "required": ["status", "duration", "timestamp"], "type": "object", "properties": {"status": {"title": "Status of request", "type": "string", "description": "Either `success` or `error`"}, "duration": {"title": "Duration of request", "type": "number", "description": "Duration of request in seconds"}, "timestamp": {"title": "Timestamp of request", "type": "string", "description": "Timestamp of request in format `mm/dd/yyyy, hh:mm:ss`"}}}, "description": "List of all requests made with their status and duration"}, "model_usage": {"title": "List of model usage", "type": "array", "items": {"title": "InfluxModelMetric", "required": ["type", "timestamp"], "type": "object", "properties": {"type": {"title": "Type of model", "type": "string", "description": "ID of model used (Eg. `FACE`, `OCR`, [full list](https://docs.ezml.io/docs/introduction/pricing))"}, "timestamp": {"title": "Timestamp of request", "type": "string", "description": "Timestamp of request in format `mm/dd/yyyy, hh:mm:ss`"}}}, "description": "List of all models used with their type"}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/ad1a15ac-b99c-4b42-b16c-7a78f85aa4ac/0/0 | ezML | Computer vision integration made simple. | null | face_detection_api_v1_functions_face_detection_post | Use our cutting-edge face recognition engine that also supports age and emotion prediction | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/ad1a15ac-b99c-4b42-b16c-7a78f85aa4ac/1/0 | ezML | Computer vision integration made simple. | null | face_detection_api_v1_functions_face_detection_post | Use our cutting-edge face recognition engine that also supports age and emotion prediction | 200 | null | {"status": "", "result": [{"bbox": [], "conf": 0, "age": 0, "emotion": ""}]} | {"title": "InferenceResultFace", "required": ["status", "result"], "type": "object", "properties": {"status": {"title": "Request Status", "type": "string", "description": "Status of inference request: `success` or `error`"}, "result": {"title": "List of faces", "type": "array", "items": {"title": "ResultFace", "required": ["bbox", "conf"], "type": "object", "properties": {"bbox": {"title": "Bbox", "maxItems": 4, "minItems": 4, "type": "array", "items": {"type": "number"}}, "conf": {"title": "Confidence", "type": "number", "description": "Confidence of face detection, between 0 and 1"}, "age": {"title": "Age", "type": "integer", "description": "Predicted age of person in image"}, "emotion": {"title": "Emotion", "type": "string", "description": "Predicted emotion of person in image"}}}, "description": "Returns bbox of face and any requested features"}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/1a1a1203-03f9-4fcd-89bb-3e3213f818a6/1/0 | ezML | Computer vision integration made simple. | null | object_detection_api_v1_functions_object_detection_post | Using our proprietery zero-shot learning models we are able to detects object in an image from a given list of labels without any additional training data | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/1a1a1203-03f9-4fcd-89bb-3e3213f818a6/3/0 | ezML | Computer vision integration made simple. | null | object_detection_api_v1_functions_object_detection_post | Using our proprietery zero-shot learning models we are able to detects object in an image from a given list of labels without any additional training data | 200 | null | {"status": "", "result": [{"bbox": [], "conf": 0, "label": ""}]} | {"title": "InferenceResultDetection", "required": ["status", "result"], "type": "object", "properties": {"status": {"title": "status", "type": "string", "description": "Status of inference request: `success` or `error`"}, "result": {"title": "list of detections", "type": "array", "items": {"title": "BasicInferenceResult", "required": ["bbox", "conf", "label"], "type": "object", "properties": {"bbox": {"title": "Bbox", "maxItems": 4, "minItems": 4, "type": "array", "items": {"type": "number"}}, "conf": {"title": "confidence", "type": "number", "description": "Confidence of object detection, between 0 and 1"}, "label": {"title": "label", "type": "string", "description": "Label of object or text detected"}}}, "description": "List of detections with bbox, conf, and label"}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/4d68263d-223d-4301-842a-9aa2caa501c1/2/0 | ezML | Computer vision integration made simple. | null | balance_api_v1_metrics_balance_get | Returns your current balance in credits | 200 | null | {"balance": 0} | {"title": "BalanceResponse", "required": ["balance"], "type": "object", "properties": {"balance": {"title": "Balance", "type": "integer", "description": "Current balance in credits"}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/2f498ed0-762e-4c16-874d-180a412bdfff/0/0 | ezML | Computer vision integration made simple. | null | generate_image_heavy_api_v1_functions_upscale_image_post | Upscales an image to a higher resolution and is capable of enhancing details while removing common flaws | 200 | null | {"status": "", "result": ""} | {"title": "ImageGenerationResult", "required": ["status", "result"], "type": "object", "properties": {"status": {"title": "Request Status", "type": "string", "description": "Status of inference request: `success` or `error`"}, "result": {"title": "base64 encoded image", "type": "string", "description": "Base64 encoded image"}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/2f498ed0-762e-4c16-874d-180a412bdfff/3/0 | ezML | Computer vision integration made simple. | null | generate_image_heavy_api_v1_functions_upscale_image_post | Upscales an image to a higher resolution and is capable of enhancing details while removing common flaws | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/31bfe902-ff0f-4ca8-94ab-eca4f7d671ee/1/0 | ezML | Computer vision integration made simple. | null | tag_image_api_v1_functions_tag_image_post | Creates a list of tags that are applicable to a given image | 200 | null | {"status": "", "result": [{"tag": "", "conf": 0}]} | {"title": "ImageTaggingResult", "required": ["status", "result"], "type": "object", "properties": {"status": {"title": "Request Status", "type": "string", "description": "Status of inference request: `success` or `error`"}, "result": {"title": "List of tags", "type": "array", "items": {"title": "Tag", "required": ["tag", "conf"], "type": "object", "properties": {"tag": {"title": "Tag", "type": "string", "description": "Tag detected in image"}, "conf": {"title": "Confidence", "type": "number", "description": "Confidence of tag detection, between 0 and 1"}}}, "description": "List of tags with tag and confidence"}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/31bfe902-ff0f-4ca8-94ab-eca4f7d671ee/2/0 | ezML | Computer vision integration made simple. | null | tag_image_api_v1_functions_tag_image_post | Creates a list of tags that are applicable to a given image | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/f5f98d17-058e-4256-9975-be3001577e98/2/0 | ezML | Computer vision integration made simple. | null | pipeline_api_v1_functions_pipeline_post | Use our proprietary pipeline system to create complex functionality by combining multiple models defined by a JSON configuration | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/f5f98d17-058e-4256-9975-be3001577e98/3/0 | ezML | Computer vision integration made simple. | null | pipeline_api_v1_functions_pipeline_post | Use our proprietary pipeline system to create complex functionality by combining multiple models defined by a JSON configuration | 200 | null | {"status": ""} | {"title": "InferenceResult", "required": ["status"], "type": "object", "properties": {"status": {"title": "status", "type": "string", "description": "Status of inference request: `success` or `error`"}, "result": {"title": "result", "description": "Result of pipeline inference, varies widely"}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/bed893db-c7b7-42b8-9a08-17222cc5f58b/2/0 | ezML | Computer vision integration made simple. | null | text_detection_api_v1_functions_ocr_post | Leveraging the most recent advancements in optical character recognition (OCR), our OCR model outperforms our competitors and performs multi-lingual highly accurate text detection or recognition on an image | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/bed893db-c7b7-42b8-9a08-17222cc5f58b/4/0 | ezML | Computer vision integration made simple. | null | text_detection_api_v1_functions_ocr_post | Leveraging the most recent advancements in optical character recognition (OCR), our OCR model outperforms our competitors and performs multi-lingual highly accurate text detection or recognition on an image | 200 | null | {"status": "", "result": ""} | {"title": "Response Text Detection Api V1 Functions Ocr Post", "anyOf": [{"title": "InferenceResultDetection", "required": ["status", "result"], "type": "object", "properties": {"status": {"title": "status", "type": "string", "description": "Status of inference request: `success` or `error`"}, "result": {"title": "list of detections", "type": "array", "items": {"title": "BasicInferenceResult", "required": ["bbox", "conf", "label"], "type": "object", "properties": {"bbox": {"title": "Bbox", "maxItems": 4, "minItems": 4, "type": "array", "items": {"type": "number"}}, "conf": {"title": "confidence", "type": "number", "description": "Confidence of object detection, between 0 and 1"}, "label": {"title": "label", "type": "string", "description": "Label of object or text detected"}}}, "description": "List of detections with bbox, conf, and label"}}}, {"title": "InferenceResultRecognition", "required": ["status", "result"], "type": "object", "properties": {"status": {"title": "Request Status", "type": "string", "description": "Status of inference request: `success` or `error`"}, "result": {"title": "Text", "type": "string", "description": "Text detected in image"}}}]} |
9adce0dc-b402-465b-85ad-27de386b1b5b/1c1b0b09-5d0e-4097-a11c-ab9a726e95be/0/0 | ezML | Computer vision integration made simple. | null | vehicle_detection_api_v1_functions_vehicle_detection_post | Model specialized in detecting common vehicles in images. Check out our docs to learn more | 200 | null | {"status": "", "result": [{"bbox": [], "conf": 0, "label": ""}]} | {"title": "InferenceResultDetection", "required": ["status", "result"], "type": "object", "properties": {"status": {"title": "status", "type": "string", "description": "Status of inference request: `success` or `error`"}, "result": {"title": "list of detections", "type": "array", "items": {"title": "BasicInferenceResult", "required": ["bbox", "conf", "label"], "type": "object", "properties": {"bbox": {"title": "Bbox", "maxItems": 4, "minItems": 4, "type": "array", "items": {"type": "number"}}, "conf": {"title": "confidence", "type": "number", "description": "Confidence of object detection, between 0 and 1"}, "label": {"title": "label", "type": "string", "description": "Label of object or text detected"}}}, "description": "List of detections with bbox, conf, and label"}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/1c1b0b09-5d0e-4097-a11c-ab9a726e95be/1/0 | ezML | Computer vision integration made simple. | null | vehicle_detection_api_v1_functions_vehicle_detection_post | Model specialized in detecting common vehicles in images. Check out our docs to learn more | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/f8312dc7-5aea-4548-bdd5-5aa11fb2fd8d/3/0 | ezML | Computer vision integration made simple. | null | generate_image_light_api_v1_functions_generate_image_light_post | Creates descriptive images with short prompts. This is the base model that runs faster but has less detail | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/f8312dc7-5aea-4548-bdd5-5aa11fb2fd8d/4/0 | ezML | Computer vision integration made simple. | null | generate_image_light_api_v1_functions_generate_image_light_post | Creates descriptive images with short prompts. This is the base model that runs faster but has less detail | 200 | null | {"status": "", "result": ""} | {"title": "ImageGenerationResult", "required": ["status", "result"], "type": "object", "properties": {"status": {"title": "Request Status", "type": "string", "description": "Status of inference request: `success` or `error`"}, "result": {"title": "base64 encoded image", "type": "string", "description": "Base64 encoded image"}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/77f5cb78-ce3a-4536-bf97-89e8fa7108ac/0/0 | ezML | Computer vision integration made simple. | null | license_plate_detection_api_v1_functions_license_plate_post | Use our prebuilt function that detects and reads license plates in images | 200 | null | {"status": "", "result": [{"bbox": [], "conf": 0, "text": ""}]} | {"title": "LicensePlateResult", "required": ["status", "result"], "type": "object", "properties": {"status": {"title": "Request Status", "type": "string", "description": "Status of inference request: `success` or `error`"}, "result": {"title": "List of license plates", "type": "array", "items": {"title": "LicensePlateResultInner", "required": ["bbox", "conf", "text"], "type": "object", "properties": {"bbox": {"title": "Bbox", "maxItems": 4, "minItems": 4, "type": "array", "items": {"type": "number"}}, "conf": {"title": "Confidence", "type": "number", "description": "Confidence of license plate detection, between 0 and 1"}, "text": {"title": "Text", "type": "string", "description": "Text detected in license plate"}}}, "description": "Returns bbox of license plate and text detected"}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/77f5cb78-ce3a-4536-bf97-89e8fa7108ac/1/0 | ezML | Computer vision integration made simple. | null | license_plate_detection_api_v1_functions_license_plate_post | Use our prebuilt function that detects and reads license plates in images | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/52e80764-994a-4487-8be5-0182c0f12fd6/0/0 | ezML | Computer vision integration made simple. | null | caption_image_api_v1_functions_caption_image_post | Generates a human readable caption for an image using our state-of-the-art image captioning model | 200 | null | {"status": "", "result": ""} | {"title": "ImageCaptionResult", "required": ["status", "result"], "type": "object", "properties": {"status": {"title": "Request Status", "type": "string", "description": "Status of inference request: `success` or `error`"}, "result": {"title": "Caption", "type": "string", "description": "Caption generated from image"}}} |
9adce0dc-b402-465b-85ad-27de386b1b5b/52e80764-994a-4487-8be5-0182c0f12fd6/1/0 | ezML | Computer vision integration made simple. | null | caption_image_api_v1_functions_caption_image_post | Generates a human readable caption for an image using our state-of-the-art image captioning model | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
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