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Fake News Detection
TextContent Moderation

Fake News Detection

Detect misinformation and fake news in text content

Accuracy
95.9%
Avg. Speed
150ms
Per Request
$0.0030
API Name
fake-news-detection

API Reference

Version
2601
Jan 3, 2026
Avg. Processing
150ms
Per Request
$0.003
Required Plan
trial

Input Parameters

Detects fake news and misinformation in text content

textstringRequired

News article or text content to analyze for misinformation

Example:
Breaking: Scientists announce revolutionary discovery that changes everything we know about physics

Response Fields

Fake news detection result with probability scores

labelstring

Classification result

Example:
real
is_fakeboolean

True if fake news detected

Example:
false
real_probabilityfloat

Probability that content is real/factual (0.0-1.0)

Example:
0.88
fake_probabilityfloat

Probability that content is fake/misinformation (0.0-1.0)

Example:
0.12
confidencefloat

Classification confidence (0.0-1.0)

Example:
0.9

Complete Example

Request

{
  "model": "fake-news-detection",
  "content": "Breaking: Scientists announce revolutionary discovery that changes everything we know about physics"
}

Response

{
  "success": true,
  "data": {
    "label": "real",
    "is_fake": false,
    "real_probability": 0.88,
    "fake_probability": 0.12,
    "confidence": 0.9
  }
}

Additional Information

Rate Limiting
If we throttle your request, you will receive a 429 HTTP error code along with an error message. You should then retry with an exponential back-off strategy, meaning that you should retry after 4 seconds, then 8 seconds, then 16 seconds, etc.
Supported Formats
txt, json
Maximum File Size
1MB
Tags:fake-newsmisinformationfactchecknewsdetection

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