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Vextorium PII Redact
x402
Vextorium PII Redact is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-19).
Detects and redacts personally identifiable information (PII) such as emails, phone numbers, and IBANs from text using pattern-based matching, replacing them with tagged placeholders or asterisks.
Price / call$0.003
Success—
StatusUnknown
How this service works
232 pay-per-call data APIs for AI agents: official statistics and economy (ECB, Fed, Eurostat, World Bank, SEC, BOE, INE), crypto prices and sentiment, Spanish public data, compliance (sanctions, VAT, IBAN, LEI), science, weather, web and developer tools and local AI text tools. Pay in USDC via x402.
Output
Returns a JSON object containing the anonymized version of the input text with PII replaced by tagged placeholders (e.g. [EMAIL_1]) or asterisks, a count of total substitutions made, a breakdown of substitutions by PII type (EMAIL, PHONE, IBAN), and a note clarifying that the detection is pattern-based and does not store the original text.
Example use cases
Sanitize customer support logs
“I need to anonymize this support ticket before archiving it — replace any emails, phone numbers, or IBANs with placeholder tags: 'Hi, I'm John, reach me at john@acme.com or +1 555 234 5678, my bank IBAN is GB29 NWBK 6016 1331 9268 19.'”
GDPR-compliant data sharing
“Before I share this user feedback with our analytics team, mask all personal information using asterisks so nothing identifiable leaks out: 'Send the report to maria@company.es or call her at 0034 699 000 111.'”
PII audit on message content
“Scan this text and tell me how many emails, phone numbers, and IBANs are in it, then give me the anonymized version: 'Billing queries: billing@store.com, phone 020 7946 0958, account IBAN DE89 3704 0044 0532 0130 00.'”
Technical details
Endpoint
POSThttps://api.vextorium.com/v1/pii-redact?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, pattern-based PII redaction for structured identifiers like emails, phone numbers, and IBANs in arbitrary text, especially when the original text must not be stored and you want per-type substitution counts. It is well-suited for compliance preprocessing, log sanitization, and agent pipelines handling user-generated content. It is not suitable for redacting proper names, postal addresses, or highly unstructured PII that requires NLP-based named entity recognition.
Side effects
- Missing required 'text' field returns a validation error
- Unsupported PII type in 'types' array may be silently ignored
- Pattern-based detection may miss proper names or postal addresses (noted in response)
- Non-Latin or highly locale-specific phone/IBAN formats may not be detected
- Very large text payloads may time out or be rejected
- Invalid 'mode' enum value returns a schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| mode | string | |
| text | string | |
| types | array |
Output
Schema · Response
{
"type": "json",
"example": {
"note": "Pattern-based detection: it does not recognize proper names or postal addresses. The original text is not stored.",
"total": 3,
"substitutions": {
"IBAN": 1,
"EMAIL": 1,
"PHONE": 1
},
"anonymized_text": "Contact [EMAIL_1] or [TELEFONO_1], IBAN [IBAN_1]."
}
}Tags
x402
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