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POST
/
chat
curl -X POST 'https://api.checkthat-ai.com/chat' \
  -H 'Content-Type: application/json' \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  -d '{
    "user_query": "The COVID-19 vaccine contains microchips that track people",
    "model": "gpt-4"
  }'

{
  "conversation_id": "conv_456", 
  "response": "Based on current scientific evidence, this claim requires nuance...",
  "claims_identified": [
    {
      "claim": "COVID-19 vaccine contains microchips",
      "confidence": 0.95,
      "category": "health_misinformation"
    }
  ],
  "fact_check_result": {
    "verdict": "false",
    "evidence_sources": ["CDC", "WHO", "peer_reviewed_studies"],
    "explanation": "No credible evidence supports the presence of microchips..."
  }
}
The primary endpoint for normalizing claims and engaging with the CheckThat AI system. This endpoint processes user queries to extract, normalize, and fact-check claims from provided text.
This endpoint requires authentication via API key. Include your API key in the request body or Authorization header.

​
Primary Use Cases

  • Claim extraction: Identify claims within user-provided text
  • Claim normalization: Standardize and structure extracted claims
  • Fact-checking analysis: Evaluate the veracity of claims
  • Interactive conversations: Maintain context across multiple interactions

​
Request Parameters

​
user_query
string
required
The text or query you want to analyze for claims. This is the main input that will be processed for claim extraction and normalization.
​
model
string
required
The AI model to use for processing. Common values include gpt-4, gpt-3.5-turbo, or other supported models.
​
api_key
string
Your API key for authentication. Can be provided here or in the Authorization header.
​
conversation_id
string
Optional identifier to maintain conversation context across multiple requests.
​
conversation_history
array
Array of previous messages to maintain context. Each message should contain role, content, and optionally timestamp.
​
max_history_tokens
integer
default:"4000"
Maximum number of tokens to include from conversation history. Helps manage context window limits.

​
Example Requests

curl -X POST 'https://api.checkthat-ai.com/chat' \
  -H 'Content-Type: application/json' \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  -d '{
    "user_query": "The COVID-19 vaccine contains microchips that track people",
    "model": "gpt-4"
  }'

const response = await fetch('https://api.checkthat-ai.com/chat', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': 'Bearer YOUR_API_KEY'
  },
  body: JSON.stringify({
    user_query: 'Climate change is caused primarily by human activities',
    model: 'gpt-4',
    conversation_id: 'conv_123'
  })
});

const result = await response.json();

import requests

payload = {
    "user_query": "Drinking 8 glasses of water daily is necessary for health",
    "model": "gpt-4",
    "conversation_history": [
        {
            "role": "user",
            "content": "Hello, I want to fact-check some health claims"
        },
        {
            "role": "assistant", 
            "content": "I'd be happy to help you fact-check health claims."
        }
    ]
}

response = requests.post(
    'https://api.checkthat-ai.com/chat',
    headers={'Authorization': 'Bearer YOUR_API_KEY'},
    json=payload
)

​
Response Format

The endpoint returns a structured response with the analysis results: 
{
  "conversation_id": "conv_456", 
  "response": "Based on current scientific evidence, this claim requires nuance...",
  "claims_identified": [
    {
      "claim": "COVID-19 vaccine contains microchips",
      "confidence": 0.95,
      "category": "health_misinformation"
    }
  ],
  "fact_check_result": {
    "verdict": "false",
    "evidence_sources": ["CDC", "WHO", "peer_reviewed_studies"],
    "explanation": "No credible evidence supports the presence of microchips..."
  }
}
Missing Required Fields (422)
{
  "detail": [
    {
      "loc": ["body", "model"],
      "msg": "field required",
      "type": "value_error.missing"
    }
  ]
}
Authentication Error (401)
{
  "detail": "Invalid or missing API key"
}
For better context retention, include conversation_id and relevant conversation_history in follow-up requests within the same fact-checking session.

Body

application/json
​
user_query
string
required
​
model
string
required
​
conversation_id
string | null
​
conversation_history
ChatMessage · object[] | null
​
api_key
string | null
​
max_history_tokens
integer | null
default:4000

Response

Successful Response

The response is of type any.