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Language Signal Repair Plan
x402
Language Signal 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 passive repair plan for language signal issues affecting agent readability.
Price / call$0.001
Success—
StatusUnknown
How this service works
Language signal 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 report including the observed language signal state, the pass/fail threshold, a verdict, the exact public evidence source used, any limitations of the passive check, and a specific mode-appropriate repair action to address the identified deficiency. No login, injection, or interaction is performed.
Example use cases
Pre-launch agent readiness check
“Before I launch my new product site at https://myproduct.io, can you run a language signal repair audit on it and tell me what I need to fix so AI agents can properly understand and read my content?”
Diagnosing AI crawler misreads
“My site https://myblog.com isn't being parsed correctly by AI tools — can you pull the language signal repair plan for it and show me the exact evidence, verdict, and what action I should take?”
Comparing language signals across versions
“I updated my homepage — can you evaluate the language signal on https://newsite.com and compare it against https://oldsite.com so I can see if the language signals improved or got worse?”
Technical details
Endpoint
POSThttps://agentreadiness.halowerk.com/v1/language-signal-repair?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a specific, actionable repair plan for language signal deficiencies on a public URL, particularly in the context of improving AI agent readability. It is distinct from generic SEO audits because it targets agent-readable language signals specifically, returns a structured verdict with evidence, and is designed for passive, non-intrusive inspection. Prefer it over sibling endpoints when the user's concern is language clarity, phrasing, or linguistic structure rather than crawlability, titles, or semantic markup.
Side effects
- Target URL is unreachable or returns non-200 status — observation may be incomplete
- Target blocks crawlers or has restrictive robots.txt — evidence collection may be limited
- Malformed or non-HTTP URL input — request rejected with validation error
- No language signal issues detected — verdict passes with no repair action needed
- Rate limiting or upstream timeout — partial or empty evidence returned
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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