Overview
JSON Recon Full Schema Extraction converts a public webpage into concise, validated Schema.org JSON-LD built for AI agents, autonomous workflows, search tools, data pipelines, RAG systems, MCP clients, and application developers. Submit a URL and receive a clean machine-readable entity instead of spending model context on navigation, boilerplate, menus, scripts, advertisements, and unrelated page text. The service supports more than 200 Schema.org entity types, including Product, Article, NewsArticle, BlogPosting, LocalBusiness, Organization, Person, Event, JobPosting, Recipe, FAQPage, HowTo, Course, Book, Movie, Dataset, SoftwareApplication, Review, Service, WebPage, and many others. Full extraction is designed for pages whose existing structured data is absent, incomplete, generic, or unsuitable for the agent's task. It identifies the most useful page-level entity, preserves relevant published facts, fills a normalized Schema.org response from available page evidence, validates the resulting structure, and reports source and confidence information so callers can decide how to use the result. Common uses include product research, entity ingestion, content classification, lead enrichment, knowledge graph preparation, comparison workflows, citation collection, monitoring, and reducing tokens consumed by raw HTML. The response is compact JSON suitable for direct programmatic use. It does not return an unrestricted copy of the page and does not claim independent truth beyond the requested page. Call the free /check endpoint first for a reachability and difficulty assessment. Price: $0.01 USDC per successful request on Base through x402. Payment authorization settles only after a successful response; rejected or failed requests do not settle. API-key billing is also available for funded JSON Recon accounts.
Health
x402 Payment Validation
Recent Health Checks
| Time | Status | HTTP | Latency | Error |
|---|---|---|---|---|
| 2026-10-13 02:41:43 | healthy | 402 | 298ms | |
| 2026-10-12 21:28:07 | healthy | 402 | 297ms | |
| 2026-10-12 12:10:47 | healthy | 402 | 251ms | |
| 2026-10-12 01:08:32 | healthy | 402 | 811ms | |
| 2026-10-11 04:44:54 | healthy | 402 | 248ms | |
| 2026-10-10 13:55:48 | healthy | 402 | 257ms |