{"uid":"cap_h8bG5zmI13wd_oJ69S_Hq","slug":"apiacre-com-schema-org-normalizer-3748229d","name":"apiacre.com Schema.org Normalizer","description":"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.","url":"https://apiacre.com/v1/data/schemaorg-normalize","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"html":{"type":"string"},"base_url":{"anyOf":[{"type":"string"},{"type":"null"}]},"include_types":{"type":"array","items":{"enum":["Organization","Product","Service","Article","Event"],"type":"string"}}}},"responseSchema":{"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"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.02","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.02/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Fr2KExDuob0aeLrYJH5N_","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.02","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"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.","exampleAgentPrompt":"Take this raw Schema.org JSON-LD markup I scraped from a product page and normalize it into a clean, deterministic Product entity — scrub any personal data and return field-level evidence hashes so I can verify provenance later.","exampleUseCases":[{"title":"Normalize product listing schema","prompt":"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?"},{"title":"Canonical organization record from markup","prompt":"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."},{"title":"Structured event data for indexing","prompt":"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."}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T06:40:34.281Z","isFirstParty":false}