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Agent Card Discovery Repair Plan
x402
Agent Card Discovery Repair Plan is a paid API for AI agents from agentreadiness.halowerk.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-14).
Fetches public evidence from a target URL and generates a concrete repair plan for fixing agent card discoverability issues, returning observations, verdicts, and actionable fixes.
Price / call$0.001
Success—
StatusUnknown
How this service works
Agent card discovery repair plan fetches current public evidence from the supplied target and evaluates the documented criterion. It returns the observation, threshold, verdict, exact evidence source, limitations and a mode-specific action. The check is passive: no login attempt, payload injection, exploit, purchase, form submission or load test is performed.
Output
Returns a structured evaluation containing the observed evidence found at the target URL, the threshold criteria being evaluated, a pass/fail verdict, the exact evidence source (URL or location), any limitations of the passive check, and a mode-specific action plan describing exactly what to change to fix the agent card discoverability issue.
Example use cases
Fix broken agent card for new API
“My API at https://api.mycompany.com doesn't seem to be discoverable by AI agents — can you pull a repair plan for the agent card setup and tell me exactly what's missing or wrong?”
Pre-launch agent readiness check
“Before we go live with our new platform at https://beta.acmecorp.io, can you audit the agent card and give us a step-by-step repair plan so AI agents can find and use our service correctly?”
Diagnose regression after deployment
“Something broke after our last deploy at https://platform.widgetco.com — AI agents stopped discovering our service. Can you grab the current agent card evidence and give me a repair plan showing what changed and how to fix it?”
Technical details
Endpoint
POSThttps://agentreadiness.halowerk.com/v1/agent-card-repair?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need not just a pass/fail verdict on agent card discoverability but also a concrete, actionable repair plan telling you exactly what to fix. Prefer it over audit-only or decision endpoints when the goal is remediation rather than monitoring. It is ideal for developers preparing a new service for AI agent discovery, diagnosing a regression, or producing a structured fix checklist.
Side effects
- Target URL is unreachable or returns non-200 status — evaluation may be incomplete or return limited evidence
- Private or authenticated endpoints cannot be inspected since no login is attempted
- Rate-limited targets may return incomplete data, affecting verdict accuracy
- Malformed or non-HTTP URLs result in normalization errors or rejection
- Agent card standard evolves faster than check criteria, causing stale thresholds
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| target | string | Public HTTP(S) URL or domain to inspect. A bare domain is normalized to HTTPS. |
| context | object | Optional non-secret correlation labels returned unchanged only in the request lifecycle. |
| baseline | — | Optional baseline returned by a previous snapshot call. |
| compare_url | string | Optional public comparison URL. Used by change and monitoring services. |
Tags
x402
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