Author Provenance 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 repair action plan for author provenance signals, returning verdict, evidence source, limitations, and corrective steps.
Author provenance 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.
Returns a structured report containing: the observed author provenance evidence found on the target page, the evaluation threshold, a pass/fail verdict, the exact public evidence source inspected, known limitations of the passive check, and a mode-specific repair action describing concrete steps to remediate deficiencies. No credentials or side effects are involved.
POSThttps://agentreadiness.halowerk.com/v1/author-provenance-repair?utm_source=zero.xyzChoose this endpoint when you need not just a diagnosis of author provenance problems but a concrete, actionable repair plan. Use it over the audit endpoint when the goal is remediation rather than assessment. Ideal for content teams, SEO engineers, or AI agent pipelines that need to fix author identity signals to improve agent-readability and content trust. Prefer this over generic SEO tools when the specific concern is structured author attribution as evaluated by AI agents and crawlers.
| 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. |
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