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apiacre.com Schema.org Normalizer
x402
apiacre.com Schema.org Normalizer is a paid API for AI agents from apiacre.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-14).
Normalizes caller-supplied inline Schema.org JSON-LD into deterministic Organization, Product, Service, Article, and Event entities with privacy scrubbing and field-level evidence hashes.
Price / call$0.02
Success—
StatusUnknown
How this service works
Normalize caller-supplied inline Schema.org JSON-LD into deterministic Organization, Product, Service, Article, and Event entities with privacy scrubbing and field-level evidence hashes.
Output
A deterministic, normalized entity object (Organization, Product, Service, Article, or Event) extracted from the supplied Schema.org JSON-LD, with PII-scrubbed fields and cryptographic evidence hashes per field for provenance verification.
Example use cases
Normalize product listing schema
“I've got Schema.org JSON-LD from a retailer's product page — can you normalize it into a clean Product entity, strip any PII, and give me evidence hashes for each field so I can audit the source data?”
Canonical organization record from markup
“Pull the Organization schema out of this JSON-LD snippet from a company homepage, normalize it into a deterministic entity, and scrub anything that looks like personal contact information.”
Structured event data for indexing
“Here's the Schema.org Event JSON-LD from a conference website — normalize it into a canonical Event entity with field-level hashes so I can compare it against other sources without duplicates.”
Technical details
Endpoint
POSThttps://apiacre.com/v1/data/schemaorg-normalizeWhen to prefer
Choose this endpoint when you need to normalize raw Schema.org JSON-LD into a canonical, privacy-safe entity representation with field-level evidence hashes for auditability. It is especially suited for pipelines that ingest structured data from multiple web sources and require deterministic output for deduplication, comparison, or downstream indexing — and where PII scrubbing is a compliance requirement.
Side effects
- Invalid or malformed JSON-LD returns a parse error
- Unsupported Schema.org type returns a type-not-supported error
- Missing required @type property causes normalization failure
- Deeply nested or ambiguous schema graphs may produce partial entity output
- Non-Schema.org JSON payloads rejected with schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| html | string | |
| base_url | — | |
| include_types | array |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"nodes": [
{
"id": "https://merchant.example/products/acre-audit",
"type": "Product",
"fields": {
"sku": "ACRE-1",
"name": "Acre Audit",
"offers": [
{
"price": "19.00",
"priceCurrency": "USD"
}
]
},
"evidence": [
{
"field": "name",
"blockIndex": 0,
"jsonPointer": "/name",
"valueSha256": "ae1a7c0779ad2136ec1fb0b0d4fc41b3b2b4725705a0be16db9e6131a1259678"
}
]
}
],
"warnings": [],
"conflicts": [],
"nodesSeen": 1,
"typeCounts": {
"Product": 1
},
"vocabulary": {
"url": "https://schema.org/",
"name": "Schema.org",
"license": "CC BY-SA 3.0",
"licenseUrl": "https://creativecommons.org/licenses/by-sa/3.0/"
},
"scriptsSeen": 1,
"nodesReturned": 1,
"documentSha256": "d81765f451d9a26a0f3d57a2a54f93814e69e74619b833e6ab1ca7c054aa3eb2"
},
"meta": {
"cached": false,
"sources": [],
"warnings": [],
"duration_ms": 42,
"next_actions": []
},
"service": "data.schemaorg-normalize",
"version": "1",
"request_id": "018f1f54-7f38-7ba2-8dc3-5f90272d9f1a"
}
}Tags
x402
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