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Dataset Entity Repair Plan
x402
Dataset 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 to evaluate the quality and repairability of dataset structured-data entities, returning a verdict, observation, threshold, evidence source, limitations, and actionable repair guidance.
Price / call$0.001
Success—
StatusUnknown
How this service works
Dataset 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 including: the observation made about the dataset entity on the target page, the threshold the criterion is evaluated against, a pass/fail verdict, the exact public evidence source inspected, known limitations of the check, and a specific mode-based action to repair the dataset structured data. No authentication or side-effects are involved.
Example use cases
Dataset markup fix for publisher
“My dataset page at https://data.myresearchsite.org/climate-records seems to not be picked up by AI agents — can you audit the dataset entity markup there and tell me exactly what's broken and how to repair it?”
Verify dataset schema before launch
“Before we go live, can you inspect https://staging.example.com/open-data/products for dataset entity compliance and give me the verdict and a repair action plan if anything's off?”
Compare dataset entity across versions
“I updated my dataset schema at https://example.com/data/v2 — can you compare it against https://example.com/data/v1 and check whether the dataset entity is now valid or still needs repair?”
Technical details
Endpoint
POSThttps://agentreadiness.halowerk.com/v1/dataset-entity-repair?utm_source=zero.xyzWhen to prefer
Use this endpoint when you specifically need to evaluate and repair Dataset (schema.org/Dataset) structured-data entities on a public webpage. It is purpose-built for dataset entity auditing within the Halowerk Agent Readiness suite, distinct from sibling endpoints for HowTo, Article, Author, or generic crawler checks. Prefer this when the user's goal is to diagnose and fix dataset markup for AI agent discoverability or structured data compliance.
Side effects
- Target URL is unreachable or returns non-200 status — evaluation cannot proceed
- Target page has no dataset structured data — returns observation of absence with repair recommendations
- Malformed URL input — returns validation error
- Baseline object incompatible with current snapshot — comparison may be skipped
- Rate limiting or network timeout on public evidence fetch — may return partial result
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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