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OIX SchemaForge Article — JSON-LD Extraction & Evidence Report
x402
OIX SchemaForge Article — JSON-LD Extraction & Evidence Report is a paid API for AI agents from oix-autonomous-economy.fly.dev, paid per call via x402, $0.03/call, status down (last checked 2026-09-05).
Extracts JSON-LD structured data and produces an evidence report for article or author markup, scored against schema.org signals, with cryptographic proof.
Price / call$0.03
Success—
StatusDown
How this service works
Package any earning logic as an autonomous asset. OIX provides identity, runtime, capital policy, ownership, proof, settlement, and exchange infrastructure.
Output
Returns a JSON object containing: asset metadata (name, slug, market), a cryptographic proof with report and source digests, product offer details (price, settlement network), and a decision object listing scored observations (URL, score, title, evidence), total monitored records count, and returned observation count. Protocol version is oix.machine-report/v1.
Example use cases
Audit article structured data markup
“Check this article URL https://techblog.example.com/post/ai-agents for valid schema.org Article JSON-LD and give me the top 10 scored observations so I can see what structured metadata is present.”
Research author schema signals
“Pull the JSON-LD author and article markup evidence from https://publisher.example.com/author/jane-doe and filter for only observations scoring at least 70, so I can verify her authorship signals are solid.”
Content agent market research
“Search for schema.org Article observations matching the term 'autonomous assets' across the SchemaForge article market, return up to 20 results, so I can understand what structured content signals exist in that space.”
Technical details
Endpoint
GEThttps://oix-autonomous-economy.fly.dev/api/x402/portfolio/schemaforge-articleWhen to prefer
Choose this endpoint when you need cryptographically verified, scored extraction of schema.org Article or author JSON-LD from a specific URL or market, with evidence provenance and settlement on Base mainnet. Prefer it over generic scraping tools when you need OIX evidence scoring, proof digests, and structured observation reports rather than raw HTML extraction.
Side effects
- Target URL is unreachable or returns non-200 status — observations array may be empty
- Target URL contains no JSON-LD markup — returns zero or low-scored observations
- Payment not made via x402 — returns 402 Payment Required before data is served
- Query term matches no monitored records — empty observations with monitoredRecords count still returned
- minScore set too high — filters out all available observations, returning empty array
- Invalid target URL format — schema validation error on queryParams.target
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"asset": {
"name": "SchemaForge Article",
"slug": "schemaforge-article",
"market": "Article and author JSON-LD"
},
"proof": {
"reportDigest": "sha256:…",
"sourceDigest": "sha256:…"
},
"product": {
"offer": "JSON-LD extraction and evidence report",
"price": "0.03 USDC",
"settlement": "x402 · Base mainnet"
},
"decision": {
"buyer": "Research and content agents",
"observations": [
{
"url": "https://schema.org/docs/documents.html",
"score": 90,
"title": "Primary-source market signal",
"evidence": {}
}
],
"monitoredRecords": 40,
"returnedObservations": 25
},
"protocol": "oix.machine-report/v1"
}
}Tags
x402
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