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Verdict PII Scanner
x402
Verdict PII Scanner is a paid API for AI agents from verdict.kechlab.com, paid per call via x402, $0.0337/call, status unknown (last checked 2026-10-21).
Scans text for personally identifiable information (PII) using AI-level detection beyond regex, identifying names, addresses, IDs, health data, credentials, emails, IBANs, payment cards, and phone numbers — without rewriting the text.
Price / call$0.0337
Success—
StatusUnknown
How this service works
PII detector that finds what regex misses (names, addresses, ID numbers, health data, credentials) and locates what patterns can verify (emails, valid IBANs, Luhn-checked cards, phones). Does not rewrite text.
Output
Returns a structured list of detected PII entities found in the input text, including the PII category (e.g. person_name, email, payment_card, bank_account), the matched value or span, and — where applicable — validation results such as Luhn check for cards or IBAN format validity. Does not return rewritten or redacted text.
Example use cases
Pre-storage compliance check for user submissions
“Before we store this user-submitted feedback in our database, scan it for any PII — names, emails, phone numbers, ID numbers, or health info — so we know if we need to redact anything first: 'I've been dealing with diabetes for 3 years, call me at 07700900123, I'm Sarah Johnson.'”
Outbound email data leak prevention
“Check this draft email for any accidentally included sensitive data like credentials, payment card numbers, or bank account details before it gets sent out: 'FYI the test credentials are admin/P@ssw0rd123 and the IBAN for the refund is GB29NWBK60161331926819.'”
Log file PII audit before shipping to analytics
“Scan this server log snippet for personal information — especially anything like names, addresses, or card numbers — that shouldn't be flowing into our analytics pipeline: 'User 4821 (Jane Doe, 14 Maple Street, Springfield) paid with card 4111111111111111 on 2024-03-15.'”
Technical details
Endpoint
POSThttps://verdict.kechlab.com/v1/pii-scan?utm_source=zero.xyzWhen to prefer
Choose this endpoint when regex-based PII detection is insufficient — e.g. when you need to catch natural-language names and postal addresses that don't match fixed patterns, or when you need format validation (Luhn-checked card numbers, valid IBANs) alongside semantic detection. Ideal for compliance pipelines, data ingestion guardrails, and outbound content checks where both recall (finding what regex misses) and precision (validating structured identifiers) matter. Not suitable if you need the text rewritten or redacted — this endpoint only detects and locates.
Side effects
- Empty or whitespace-only text input returns no detections
- Very long text may require chunking if it exceeds token limits
- Highly ambiguous names in generic contexts may produce false positives
- Unusual or non-standard ID number formats from obscure jurisdictions may be missed
- Specifying an invalid PII type in the `types` filter may result in an error or ignored filter
- Adversarially obfuscated PII (e.g. leetspeak substitutions) may evade detection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | the text to examine |
| types | — | (optional) subset of: person_name, email, phone, postal_address, id_number, payment_card, bank_account, date_of_birth, credentials, health_info |
Tags
x402
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