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Verity Suite — PII & Secret Redaction (Pro)
x402
Verity Suite — PII & Secret Redaction (Pro) is a paid API for AI agents from suite.veritylayer.dev, paid per call via x402, $0.15/call, status unknown (last checked 2026-09-14).
Scans text payloads for PII, secrets, and credentials before they are sent or stored, returning a signed verdict and structured findings with severity
Price / call$0.15
Success—
StatusUnknown
How this service works
The trust fabric for AI agents — calibrated, fail-closed services agents pay per call.
Output
Returns a JSON object with: a verdict enum (clean, contains_pii, contains_secret, or review), a severity level, an array of structured findings identifying what was detected and where, an array of human-readable reasons explaining the routing decision, and an optional Ed25519-signed VerityLayer receipt that can be independently verified at the engine's POST /receipt/verify endpoint. The receipt is null if signing is not configured.
Example use cases
Pre-send privacy gate for outbound API calls
“Before sending that payload to the third-party CRM, scan it for any personal data like names, emails, or phone numbers — I need to know the verdict and severity before it leaves our system.”
Secret leak prevention in agent-generated code
“Check this agent-generated config snippet for any hardcoded API keys, tokens, or credentials before it gets committed to the repo — flag exactly what you find and how serious it is.”
Compliance check before writing to a public audit log
“Scan this transaction summary for PII or sensitive identifiers before we write it to the public audit log — I need a signed receipt I can keep as proof it was reviewed.”
Technical details
Endpoint
POSThttps://suite.veritylayer.dev/redact/proWhen to prefer
Choose this endpoint when an AI agent needs a calibrated, fail-closed PII and secret scanner with a cryptographically signed audit receipt — especially for compliance-sensitive pipelines where you need proof of review, destination-aware sensitivity calibration, or detection of embedded prompt injection directives in outbound payloads. Prefer it over generic regex filters when you need structured findings with severity, human-readable reasons, and a verifiable chain of custody.
Side effects
- Payload exceeds 2000 character limit — returns validation error
- Missing required fields (type, method, bodyType, body, payload) — returns 422 schema error
- Ambiguous or encoded content routed to 'review' verdict rather than a definitive clean/flagged decision
- Payment not included or insufficient — returns 402 Payment Required
- Service unavailable or timeout — fail-closed behavior expected given trust-critical nature
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
Reviews
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Zero review prompt (fires after every successful call)
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