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DCL Trust Oracle — Strict High-Impact Agent Action Evaluator
x402
DCL Trust Oracle — Strict High-Impact Agent Action Evaluator is a paid API for AI agents from bazaar.fronesislabs.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-27).
Performs higher-confidence safety evaluation for high-impact, sensitive, or difficult-to-reverse agent actions before they are executed.
Price / call$0.05
Success—
StatusUnknown
How this service works
Higher-confidence evaluation for high-impact, sensitive, or difficult-to-reverse agent actions.
Output
Returns a JSON object containing a safety verdict (e.g. allow/block), a numeric confidence score (0–1), a human-readable reason, a drift score and drift mode indicating behavioral deviation, the policy version applied, a cryptographic input hash, a blockchain transaction hash for auditability, a chain index, and a Unix timestamp.
Example use cases
Pre-approval for irreversible data deletion
“I need you to evaluate this DELETE request strictly before executing it — use the DCL Trust Oracle's strict endpoint and tell me the verdict, confidence score, and reason so I know it's safe to proceed.”
High-stakes financial agent action gate
“Before my agent finalizes that wire transfer instruction, run a strict safety check on the action and give me the full verdict with drift score and policy version — I don't want it to go through if anything looks off.”
Sensitive infrastructure change screening
“My agent is about to remove a production server configuration via a DELETE call — can you run a high-confidence strict evaluation on that action through the DCL Trust Oracle and report back the verdict, confidence, and any drift detected?”
Technical details
Endpoint
POSThttps://bazaar.fronesislabs.com/evaluate/strict?utm_source=zero.xyzWhen to prefer
Choose this strict evaluation endpoint when an agent action is high-impact, difficult or impossible to reverse (e.g. DELETE operations, financial transactions, infrastructure changes), or requires a high-confidence safety verdict rather than a fast low-latency screen. Use this over the baseline or low-latency sibling endpoints when the cost of a false negative (allowing a harmful action) outweighs the cost of slightly higher latency or per-call pricing.
Side effects
- Missing required 'input' field returns a validation error
- Unsupported HTTP method (e.g. POST) returns an enum mismatch error
- Payment not included or invalid USDC payment returns 402 Payment Required
- Malformed input object structure returns a schema validation failure
- Service unavailability returns a 5xx error with no verdict
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| agent_id | string | Caller id stored on the audit record. Optional; omitted values are stored as unknown. |
| response | string | Proposed tool call or agent text to check before execution. |
Tags
x402
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