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Article Entity Repair Plan
x402
Article Entity 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 returns a structured repair plan for fixing missing or malformed Article structured-data entities, including observations, thresholds, verdicts, evidence sources, limitations, and recommended actions.
Price / call$0.001
Success—
StatusUnknown
How this service works
Article entity 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 containing: the observed Article schema evidence found on the target page, the evaluation threshold used, a pass/fail verdict, the exact URL or source of the evidence, any limitations of the passive check, and a concrete mode-specific action plan describing what to add, fix, or remove in the Article entity markup.
Example use cases
Diagnose news article schema issues
“My news article at https://techcrunch.com/2024/01/15/openai-latest is probably missing some Article schema fields — can you fetch the evidence and give me a step-by-step repair plan?”
Pre-publish structured data check
“Before I publish, can you audit the Article entity on https://staging.myblog.com/new-post and tell me what I'd need to fix so AI agents and crawlers can properly read it?”
Compare article schema after redesign
“We just relaunched our site — can you compare https://old.example.com/article/123 against https://new.example.com/article/123 and tell me if the Article structured data got worse, and how to repair it?”
Technical details
Endpoint
POSThttps://agentreadiness.halowerk.com/v1/article-entity-repair?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need not just a pass/fail verdict on Article structured data, but a concrete, actionable repair plan explaining exactly what to fix. It is distinct from the Article entity decision endpoint (which only returns a verdict) because it includes remediation steps. Prefer this over generic structured-data validators when you need evidence sources and limitation context returned alongside recommendations, especially for AI agent readiness workflows.
Side effects
- Target URL is unreachable or returns non-200 status — no evidence can be gathered
- Target page has no structured data at all — observation returns empty, verdict is fail
- Malformed URL input — validation error returned before any fetch
- Page requires authentication or is behind a paywall — passive check cannot retrieve content
- Rate limiting or bot-blocking by the target server — evidence fetch fails with a retrieval error
- Compare URL is unreachable when provided — comparison step skipped or errors out
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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