Synapse PaaS Template
  1. AI Detection
Synapse PaaS Template
  • Synapse PaaS API
    • Chat
      • Cortext: Chat
      • Vision: Chat
    • Image
      • Vision: Text-To-Image
      • Cortext: Text To Image
      • Vision: Image-To-Image
      • Vision: Inpaint
      • Vision: Avatar
      • Vision: Clip Embeddings
      • Niche: Text-To-Image
      • Niche: Image-To-Image
      • Niche: InstantID
    • Web Query
      • Smart Scrape
    • AI Detection
      • It's AI: AI Text Detector
        POST
      • It's AI: AI Text Detector Batch
        POST
    • Speech
      • Text To Speech Create
      • Text To Speech Retrieve
    • Compute
      • Get Jobs
      • Create Docker Job
      • Create Raw Script Job
  • Schemas
    • Schemas
      • ChatMessageRequest
      • AvatarRequest
      • ChatMessageRequest
      • AvatarRequest
      • HTTPValidationError
      • ChatMessageVariantRequest
      • AvatarResponse
      • ChatMessageVariantRequest
      • AvatarResponse
      • ValidationError
      • HTTPValidationError
      • ChatModels
      • HTTPValidationError
      • ChatModels
      • ValidationError
      • ChatRequest
      • ValidationError
      • ChatRequest
      • ClipEmbeddingsRequest
      • ClipEmbeddingsRequest
      • ClipEmbeddingsResponse
      • ClipEmbeddingsResponse
      • EngineEnum
      • EngineEnum
      • HTTPValidationError
      • HTTPValidationError
      • ImageToImageRequest
      • ImageToImageRequest
      • ImageToImageResponse
      • ImageToImageResponse
      • InpaintRequest
      • InpaintRequest
      • InpaintResponse
      • InpaintResponse
      • Message
      • Message
      • Role
      • Role
      • TextPrompt
      • TextPrompt
      • TextToImageRequest
      • TextToImageRequest
      • TextToImageResponse
      • TextToImageResponse
      • UpscaleRequest
      • UpscaleRequest
      • UpscaleResponse
      • UpscaleResponse
      • ValidationError
      • ValidationError
  1. AI Detection

It's AI: AI Text Detector Batch

Localhost Development Server
http://localhost:3000
Localhost Development Server
http://localhost:3000
POST
/api/ai-text-detection-batch
Endpoint to detect whether text was written by AI.

Request

Header Params

Body Params application/json

Example
{
    "texts": ["Bittensor is a promising decentralized AI network that aims to revolutionize the machine learning landscape by leveraging blockchain technology. Here are some key points to consider about Bittensor: Decentralized AI Model Training: Bittensor facilitates the training of machine learning models in a decentralized manner, utilizing the distributed computational power of its network. This can significantly reduce costs and increase the efficiency of training complex AI models, democratizing access to AI development​ (coin bureau)​​ (RareConnections)​. Economic Model: The platform uses its native cryptocurrency, TAO, to manage transactions and reward contributors. This token-based economy incentivizes participants to provide high-quality data and models, aligning individual contributions with the network's growth and health​ (RatherLabs)​. Decentralized Marketplace: Bittensor operates as a digital marketplace where machine learning models can share knowledge and services. This setup encourages continuous learning and innovation, as models interact and improve collaboratively​ (coin bureau)​​ (Gate.io)​. Security and Fairness: Bittensor employs measures like Shapley values from cooperative game theory to ensure fair reward distribution among network participants. This helps maintain the network's integrity and prevents collusion​ (Gate.io)​. Challenges: Bittensor faces several challenges, including scalability, performance, security, and regulatory compliance. Addressing these issues is crucial for the network's long-term success and broader adoption​ (RatherLabs)​​ (Token Metrics Research)​. Innovative Framework: The network fosters a collaborative environment for AI development, offering a platform where developers can monetize their AI models and provide solutions to various industries. This can spur significant advancements and applications of AI technology​ (coin bureau)​​ (Gate.io)​. Overall, Bittensor presents a compelling vision for decentralized AI, with innovative approaches to collaboration, reward distribution, and model training. However, like any emerging technology, it must overcome significant challenges to realize its full potential.",
    "This text was definitely not written by AI. I wrote this text myself and I promise you that I'm not AI. How many words do I have to type in order for you to understand that I'm not AI? I'm not sure but I'm going to keep writing until you figure it out."],
    "api_key": "n8gSI9XLPRhLLwRb"
}

Request Code Samples

Shell
JavaScript
Java
Swift
Go
PHP
Python
HTTP
C
C#
Objective-C
Ruby
OCaml
Dart
R
Request Request Example
Shell
JavaScript
Java
Swift
curl --location --request POST 'http://localhost:3000/api/ai-text-detection-batch' \
--header 'X-API-KEY;' \
--header 'Content-Type: application/json' \
--data-raw '{
    "texts": ["Bittensor is a promising decentralized AI network that aims to revolutionize the machine learning landscape by leveraging blockchain technology. Here are some key points to consider about Bittensor: Decentralized AI Model Training: Bittensor facilitates the training of machine learning models in a decentralized manner, utilizing the distributed computational power of its network. This can significantly reduce costs and increase the efficiency of training complex AI models, democratizing access to AI development​ (coin bureau)​​ (RareConnections)​. Economic Model: The platform uses its native cryptocurrency, TAO, to manage transactions and reward contributors. This token-based economy incentivizes participants to provide high-quality data and models, aligning individual contributions with the network'\''s growth and health​ (RatherLabs)​. Decentralized Marketplace: Bittensor operates as a digital marketplace where machine learning models can share knowledge and services. This setup encourages continuous learning and innovation, as models interact and improve collaboratively​ (coin bureau)​​ (Gate.io)​. Security and Fairness: Bittensor employs measures like Shapley values from cooperative game theory to ensure fair reward distribution among network participants. This helps maintain the network'\''s integrity and prevents collusion​ (Gate.io)​. Challenges: Bittensor faces several challenges, including scalability, performance, security, and regulatory compliance. Addressing these issues is crucial for the network'\''s long-term success and broader adoption​ (RatherLabs)​​ (Token Metrics Research)​. Innovative Framework: The network fosters a collaborative environment for AI development, offering a platform where developers can monetize their AI models and provide solutions to various industries. This can spur significant advancements and applications of AI technology​ (coin bureau)​​ (Gate.io)​. Overall, Bittensor presents a compelling vision for decentralized AI, with innovative approaches to collaboration, reward distribution, and model training. However, like any emerging technology, it must overcome significant challenges to realize its full potential.",
    "This text was definitely not written by AI. I wrote this text myself and I promise you that I'\''m not AI. How many words do I have to type in order for you to understand that I'\''m not AI? I'\''m not sure but I'\''m going to keep writing until you figure it out."],
    "api_key": "n8gSI9XLPRhLLwRb"
}'

Responses

🟢200Successful Response
application/json
Body

Example
{
    "answer": [
        {
            "text": "Bittensor is a promising decentralized AI network that aims to revolutionize the machine learning landscape by leveraging blockchain technology. Here are some key points to consider about Bittensor: Decentralized AI Model Training: Bittensor facilitates the training of machine learning models in a decentralized manner, utilizing the distributed computational power of its network. This can significantly reduce costs and increase the efficiency of training complex AI models, democratizing access to AI development​ (coin bureau)​​ (RareConnections)​. Economic Model: The platform uses its native cryptocurrency, TAO, to manage transactions and reward contributors. This token-based economy incentivizes participants to provide high-quality data and models, aligning individual contributions with the network's growth and health​ (RatherLabs)​. Decentralized Marketplace: Bittensor operates as a digital marketplace where machine learning models can share knowledge and services. This setup encourages continuous learning and innovation, as models interact and improve collaboratively​ (coin bureau)​​ (Gate.io)​. Security and Fairness: Bittensor employs measures like Shapley values from cooperative game theory to ensure fair reward distribution among network participants. This helps maintain the network's integrity and prevents collusion​ (Gate.io)​. Challenges: Bittensor faces several challenges, including scalability, performance, security, and regulatory compliance. Addressing these issues is crucial for the network's long-term success and broader adoption​ (RatherLabs)​​ (Token Metrics Research)​. Innovative Framework: The network fosters a collaborative environment for AI development, offering a platform where developers can monetize their AI models and provide solutions to various industries. This can spur significant advancements and applications of AI technology​ (coin bureau)​​ (Gate.io)​. Overall, Bittensor presents a compelling vision for decentralized AI, with innovative approaches to collaboration, reward distribution, and model training. However, like any emerging technology, it must overcome significant challenges to realize its full potential.",
            "answer": "1.0"
        },
        {
            "text": "This text was definitely not written by AI. I wrote this text myself and I promise you that I'm not AI. How many words do I have to type in order for you to understand that I'm not AI? I'm not sure but I'm going to keep writing until you figure it out.",
            "answer": "1.0"
        }
    ],
    "error": null
}
🟠422Validation Error
Modified at 2024-06-12 14:05:55
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