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Verity Suite – Quick Redact
x402
Verity Suite – Quick Redact is a paid API for AI agents from suite.veritylayer.dev, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-14).
Scans a text payload for PII, secrets, and credentials, returning a verdict, severity, findings, and reasons — with an optional Ed25519-signed receipt.
Price / call$0.02
Success—
StatusUnknown
How this service works
The trust fabric for AI agents — calibrated, fail-closed services agents pay per call.
Output
Returns a verdict (clean, contains_pii, contains_secret, or review), a severity level, a list of specific findings with the type and location of each sensitive item, human-readable reasons explaining the decision, and an optional Ed25519-signed receipt that can be independently verified at the engine's /receipt/verify endpoint.
Example use cases
Pre-send PII gate for outbound API calls
“I'm about to POST this JSON body to a partner API — can you scan it for any personal data or credentials first? The payload is: 'user_id: 4821, email: bob@acme.com, card: 4111111111111111'. Flag anything sensitive before it leaves.”
Log sanitization before external storage
“Before writing this support ticket text to our public S3 bucket, check it for PII or secrets: 'Customer John Smith called about invoice #99234, his phone is 555-867-5309.' Destination is a public log — be strict.”
AI agent output safety check
“My agent just generated this summary to send back to the user — scan it for any leaked secrets or personal info before it goes out: 'Here is your report. Auth token: sk-abc123xyz, generated for user alice@corp.com.' Give me a verdict and tell me what it found.”
Technical details
Endpoint
POSThttps://suite.veritylayer.dev/redact/quickWhen to prefer
Choose this endpoint when an AI agent needs a fast, per-call, pay-as-you-go PII and secret scanner with a signed, auditable receipt — especially when the destination context matters for calibrating sensitivity (public log vs internal DB vs third-party API). Prefer it over home-built regex or generic LLM prompts when you need a deterministic verdict enum, structured findings, and a cryptographically verifiable result for compliance or audit trails.
Side effects
- Payload exceeds 2000 character limit — request rejected with validation error
- Missing required fields (type, method, bodyType, body, payload) — 422 validation error
- Ambiguous or encoded content routed to 'review' verdict rather than a definitive clean/contains decision
- Payment not included or insufficient — x402 payment required error
- Signing not configured — receipt field returns null
- Context field omitted — severity may be calibrated less precisely to destination sensitivity
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| context | — | where this payload is headed (e.g. public log, internal db, third-party API) so sensitivity and severity can be calibrated to the destination |
| payload | string | the text the agent is about to send or store; scan it for PII, secrets, and credentials |
Tags
x402
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