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AI Watermark & Provenance Verifier
x402
AI Watermark & Provenance Verifier is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.08/call, status unknown (last checked 2026-10-16).
Verifies the watermark and provenance of AI-generated content, detecting origin signals and authenticity markers embedded in text or media data.
Price / call$0.08
Success—
StatusUnknown
How this service works
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Output
Returns a provenance verification result indicating whether the submitted content contains detectable AI watermarks, along with origin attribution details, watermark status, and an authenticity confidence score if available.
Example use cases
Verify AI-generated news article
“I need to check whether this article was AI-generated and whether it carries a traceable watermark — can you run a provenance check on it? Here's the text: 'Global markets surged yesterday as central banks signaled a pause in rate hikes...'”
Authenticate AI content for publishing
“Before we publish this blog post, can you verify its AI provenance and tell me if there's a watermark indicating which model produced it? The content is: 'Artificial intelligence is reshaping how businesses approach customer service and support...'”
Audit AI training data provenance
“I have a dataset entry I suspect was AI-generated — can you inspect it for watermark signatures and tell me if there's a detectable origin attribution? The data string is: 'In the year 2045, cities began transitioning to fully autonomous transport networks...'”
Technical details
Endpoint
POSThttps://api.m2mcent.com/ai-watermark-provenance-verifier-mcp/api/process?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to verify whether text or AI-generated content carries an embedded watermark or provenance signature, particularly in publishing pipelines, content moderation workflows, or compliance audits where AI content authenticity must be confirmed. Prefer this over generic content classifiers when you specifically need watermark-level traceability rather than just a probability score of AI authorship.
Side effects
- Empty or null data field returns a validation error
- Content too short to contain detectable watermark patterns may return inconclusive result
- Non-AI-generated content returns no watermark detected
- Malformed input string may result in a processing error
- Content in unsupported formats or encodings may fail to parse
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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