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SlinkeyLayer Text Anonymization
x402
SlinkeyLayer Text Anonymization is a paid API for AI agents from x402.slinkylayer.ai, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).
Anonymizes sensitive personally identifiable information (PII) in text using Azure or other configurable providers
Price / call$0.05
Success—
StatusUnknown
How this service works
Accepts JSON input and anonymizes sensitive information in the provided text using the selected provider (Azure or others).
Output
Returns the input text with sensitive entities replaced by anonymized placeholders or tokens, along with metadata about which PII categories were detected and redacted (e.g. names, emails, phone numbers, addresses).
Example use cases
GDPR-compliant log sanitization
“Before we store these customer support logs, can you strip out all personally identifiable information — names, emails, addresses — using the Azure anonymizer so we stay GDPR-compliant?”
Safe data sharing for analytics
“I need to share this dataset of user feedback with our analytics team but it contains PII. Can you anonymize this text passage using the Azure provider so no personal details are exposed: 'Customer Jane Doe, DOB 1985-03-12, reported an issue from her address at 42 Oak Street'?”
Pre-processing text before AI model input
“Before I send this user message to the language model, please redact any sensitive personal information in it — things like SSNs, phone numbers, and names. Here's the text: 'Hi, I'm Robert Chen, SSN 123-45-6789, calling about my account.'”
Technical details
Endpoint
POSThttps://x402.slinkylayer.ai/api/v1/proxy/:id/text-anonymizeWhen to prefer
Choose this endpoint when you need to programmatically redact PII from arbitrary text before storing, sharing, or processing it — especially when Azure-backed NLP entity recognition is preferred. It is well-suited for compliance workflows (GDPR, HIPAA), pre-processing pipelines before LLM ingestion, or sanitizing user-generated content. Prefer it over a custom regex approach when you need reliable named-entity-based redaction across multiple PII categories.
Side effects
- Invalid or missing proxy ID returns 404 or routing error
- Malformed JSON body returns 400 bad request
- Unsupported provider name returns validation error
- Empty or null text field may return error or pass-through
- Rate limiting or quota exceeded returns 429
- Azure backend unavailability causes 502/503
Tags
x402
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