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Training Data Copyright Tracer MCP
x402
Training Data Copyright Tracer MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.2/call, status unknown (last checked 2026-10-24).
Traces and identifies copyright ownership and provenance of training data used in AI/ML models
Price / call$0.2
Success—
StatusUnknown
How this service works
The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.
Output
Returns copyright attribution, provenance details, source identification, and licensing information associated with the provided data string, indicating who owns the content and whether it has been used in AI training datasets.
Example use cases
Copyright audit for AI model training
“I need to check whether this paragraph from my book was scraped and used to train an AI model without my permission — here's the text: 'The algorithm slowly crept through the neural pathways, searching for meaning in the noise.' Can you trace its copyright and tell me who holds the rights?”
Dataset provenance check before release
“Before we release our new AI model, can you trace the copyright ownership and provenance of this training data sample to make sure we have proper licensing: 'Annual rainfall in the Amazon basin averages 2300mm per year across the primary forest regions.'”
Legal compliance investigation for training data
“Our legal team needs to know if this content has identifiable copyright holders and was used in AI training datasets — please trace the provenance and copyright status of: 'To be or not to be, that is the question, whether tis nobler in the mind to suffer the slings and arrows of outrageous fortune.'”
Technical details
Endpoint
POSThttps://api.m2mcent.com/training-data-copyright-tracer-mcp/api/process?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to trace the intellectual property rights and training data provenance of specific content strings, particularly for AI compliance audits, copyright infringement investigations, or verifying licensing status before using data for machine learning. It is especially useful for legal teams, AI developers, and researchers who need to demonstrate due diligence around training data sourcing.
Side effects
- No copyright information found for the given content — returns empty or null attribution
- Input data too short or ambiguous to trace — insufficient context for provenance lookup
- Content is in the public domain — no active copyright holder identified
- Rate limiting or payment failure at $0.20 USDC per call
- Unrecognized or unsupported content format in the data field
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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