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PII Redactor / Privacy Scrubber
x402
PII Redactor / Privacy Scrubber is a paid API for AI agents from x402-deployer.x402-deployer.workers.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-12).
Redacts PII (emails, phones, SSNs, IBANs, credit cards, IPs, names, addresses, dates of birth) from text using a two-stage regex + LLM pipeline, returning sanitized text and a list of every redacted entity.
Price / call$0.005
Success—
StatusUnknown
How this service works
PII redactor / mask emails phones SSNs IBANs credit cards IPs / GDPR safe text / privacy scrubber. Two-stage redaction: a deterministic regex pre-pass for structural PII (email, phone, credit card, SSN, IBAN, IPv4/v6, URL), then Venice mistral-small-3-2-24b for residual PII (full names, street addresses, dates of birth). Returns the redacted text and a list of every (type, value, masked_with) triple.
Output
Returns the redacted version of the input text (with PII replaced by masked tokens) and a structured list of every redacted entity as (type, original_value, masked_with) triples — covering emails, phone numbers, SSNs, IBANs, credit cards, IPv4/v6 addresses, URLs, full names, street addresses, and dates of birth.
Example use cases
Example prompt
“Can you redact all PII from this text before I store it — 'John Smith called from +1-555-867-5309, his SSN is 123-45-6789 and he paid with card 4111 1111 1111 1111, reach him at john.smith@example.com' — and give me back the clean version plus a list of everything that was masked?”
Technical details
Endpoint
POSThttps://x402-deployer.x402-deployer.workers.dev/pii-redact?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a robust, two-stage PII redaction pipeline that handles both structurally detectable PII (regex) and contextual PII (names, addresses, DOBs via LLM) in a single call, especially for GDPR-safe text processing, log sanitization, or anonymizing user-generated content before downstream storage or API calls. Prefer this over a pure regex scrubber when residual contextual PII (full names, street addresses) must also be caught.
Side effects
- Empty or missing input text returns an error
- Extremely long texts may hit processing limits or increase latency
- LLM stage may occasionally miss highly ambiguous or culturally atypical PII
- Non-English names or addresses may have lower recall from the LLM stage
- Payment failure (insufficient USDC balance) results in 402 response before processing
Input
{
"text": "Please redact any PII from this sample text: Alice Johnson called on 2024-03-20 from 555-123-4567. Her email is alice.johnson@example.com and she lives at 789 Maple Street, Seattle, WA 98101. Her SSN is 987-65-4321."
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
{
"found": [
{
"type": "email",
"value": "alice.johnson@example.com",
"masked_with": "[EMAIL]"
},
{
"type": "ssn",
"value": "987-65-4321",
"masked_with": "[SSN]"
},
{
"type": "phone",
"value": "2024-03-20",
"masked_with": "[PHONE]"
},
{
"type": "phone",
"value": "555-123-4567",
"masked_with": "[PHONE]"
},
{
"type": "name",
"value": "Alice Johnson",
"masked_with": "[NAME]"
},
{
"type": "address",
"value": "789 Maple Street, Seattle, WA 98101",
"masked_with": "[ADDRESS]"
}
],
"model": "hermes-3-llama-3.1-405b",
"source": "regex + morpheus",
"original": "Please redact any PII from this sample text: Alice Johnson called on 2024-03-20 from 555-123-4567. Her email is alice.johnson@example.com and she lives at 789 Maple Street, Seattle, WA 98101. Her SSN is 987-65-4321.",
"redacted": "Please redact any PII from this sample text: [NAME] called on [PHONE] from [PHONE]. Her email is [EMAIL] and she lives at [ADDRESS]. Her SSN is [SSN].",
"found_count": 6
}Tags
x402
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