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SignalHarness Schema.org Extractor
x402
SignalHarness Schema.org Extractor is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Extracts structured Schema.org entities, relationships, and type metadata from a webpage URL or raw HTML content
Price / call$0.01
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object containing an array of extracted Schema.org entities, a list of entity relationships, a type index mapping entity types, an entity count, and any parsing warnings. Also includes a receipt with payment confirmation details, execution metadata, and a SHA-256 hash of the result for verification.
Example use cases
Product page schema analysis
“Pull all the Schema.org entities from https://shop.acme.com/products/blue-sneakers — I want to know what structured data types they're using, the product details encoded in the markup, and whether there are any issues with it.”
SEO audit for structured data
“Extract the Schema.org structured data from this HTML I'm pasting — it's the source of our homepage — so I can audit what entities and types Google would see when crawling it.”
Knowledge graph enrichment from web pages
“I have a URL at https://en.wikipedia.org/wiki/Albert_Einstein — can you extract all the Schema.org entities and relationships from that page so I can add them to my knowledge graph?”
Technical details
Endpoint
POSThttps://signalharness.ai/api/agent/services/schema_org_extract/invokeWhen to prefer
Choose this endpoint when you need to programmatically extract Schema.org structured data (JSON-LD, Microdata, RDFa) from webpages and want clean, typed entity and relationship output. Ideal for SEO audits, knowledge graph construction, product data extraction, or enriching datasets with structured web content. Prefer this over generic HTML parsers when you specifically need Schema.org semantics and relationship graphs rather than raw DOM content.
Side effects
- URL not accessible or returns non-200 status — entity array will be empty
- HTML content exceeds 65,536 character limit — request rejected
- No Schema.org markup present on the page — returns empty entities array with possible warnings
- Invalid URL format (not starting with https://) — schema validation error
- Malformed or non-standard Schema.org markup — warnings returned with partial extraction
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | |
| html | string | |
| baseUrl | string |
Output
Schema · Response
{
"type": "json",
"example": {
"replay": false,
"result": {
"entities": [
{
"id": "example",
"types": [
"example"
],
"valueJson": "example"
}
],
"warnings": [
"Verify the caller-supplied data before relying on this result."
],
"typeIndex": [
{
"ids": [
"example"
],
"type": "example"
}
],
"entityCount": 0,
"relationships": [
{
"to": "example",
"from": "example",
"kind": "example"
}
]
},
"status": "succeeded",
"receipt": {
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"usage": [],
"status": "succeeded",
"network": "eip155:8453",
"artifacts": [],
"endedAtMs": 0,
"latencyMs": 0,
"paymentId": "example-payment",
"receiptId": "example-receipt",
"requestId": "example-request",
"serviceId": "schema_org_extract",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "10000",
"resultSha256": "0ffabd1323aa846e93b577eebbbb6107ab3669ce3d2efb57b1b206b65a26d83e",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
}Tags
x402
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