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Agent Prelaunch Audit
x402
Agent Prelaunch Audit is a paid API for AI agents from relay402.georgespring.workers.dev, paid per call via x402, $0.06/call, status unknown (last checked 2026-09-13).
Audits an agent spec or checklist for launch risks including exposed secrets, unsafe tool usage, missing evaluations, and absent rate limits.
Price / call$0.06
Success—
StatusUnknown
How this service works
prelaunch audit for an agent spec or checklist: flags obvious launch risks around secrets, unsafe tools, missing evals and rate limits.
Output
A structured report flagging launch risks detected in the submitted agent spec or checklist, including: identified secrets or credential leaks, unsafe or overly permissive tool usage, missing evaluation steps, absent or insufficient rate limits, and any other obvious pre-launch concerns.
Example use cases
Pre-deploy agent security check
“Before I launch this agent, can you audit the spec below and tell me if there are any exposed secrets, dangerous tool permissions, or missing safeguards I should fix first? [agent spec text]”
Missing evals and rate limit review
“Here's the checklist for my new customer support agent — can you scan it and flag whether I'm missing any evaluations or rate limiting that could cause problems after launch?”
Unsafe tool detection in agent plan
“I'm about to deploy this agent configuration — can you check it for any unsafe or destructive tool calls that I should be worried about before going live? [agent plan text]”
Technical details
Endpoint
GEThttps://relay402.georgespring.workers.dev/api/compose-agent-prelaunch-auditWhen to prefer
Use this endpoint when you need a quick, automated pre-launch safety scan of an AI agent specification or deployment checklist — specifically when you want to catch secrets exposure, unsafe tool configurations, missing evaluations, or rate limit gaps before going live. Prefer it over general-purpose code review tools when the subject is specifically an agent spec or agent checklist, and you want structured risk flags rather than narrative feedback.
Side effects
- Empty or missing 'content' query parameter returns an error
- Content exceeding 64,000 characters is rejected
- Malformed or unparseable agent spec may yield incomplete risk flags
- Network or worker timeout may cause no response
- Ambiguous specs with minimal detail may produce low-signal results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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