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GDPR PII Scrubber MCP
x402
GDPR PII Scrubber MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.3/call, status unknown (last checked 2026-09-15).
Scrubs personally identifiable information (PII) from text to comply with GDPR regulations
Price / call$0.3
Success—
StatusUnknown
How this service works
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Output
Returns the input text with all detected PII (names, email addresses, phone numbers, postal addresses, dates of birth, and other personal identifiers) replaced or removed, yielding an anonymized, GDPR-safe version of the original content.
Example use cases
Anonymize customer support logs
“I need to remove all personal details — names, emails, phone numbers — from these customer support transcripts before I archive them: 'Customer Jane Doe (jane.doe@company.com, 07700 900123) reported an issue on 3rd April.'”
GDPR-safe data sharing with partners
“Before I send this dataset excerpt to our analytics partner, can you strip out any PII so we stay GDPR compliant? Here's the text: 'User: Michael Brown, DOB: 15/06/1985, Address: 45 Grove Lane, Manchester, Email: m.brown@mail.com.'”
Sanitize AI training data
“I'm building a training dataset and need all personally identifiable information removed from these sample records — please scrub names, locations, and contact details from: 'Sarah Connor, sarah.c@domain.net, residing at 9 Oak Avenue, Bristol, called on 020 7946 0958.'”
Technical details
Endpoint
POSThttps://api.m2mcent.com/gdpr-pii-scrubber-mcp/api/processWhen to prefer
Choose this endpoint when you need automated, on-the-fly GDPR PII scrubbing of arbitrary text strings without building your own regex pipeline. It is particularly useful when processing user-generated content, logs, or documents that must be anonymized before storage or sharing. Prefer this over manual redaction when speed and consistency matter across large volumes of text.
Side effects
- Empty or missing 'data' field returns an error
- Extremely long text may exceed processing limits
- Ambiguous context may cause false positives (legitimate non-PII removed) or false negatives (PII missed)
- Non-UTF-8 encoded text may cause parsing errors
- Payment failure via x402 prevents processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| payload | string |
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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