Send us a URL. We return clean, validated schema.org JSON-LD — not raw HTML, not noisy markdown. Machine-readable facts your AI agent can use immediately. 200+ entity types identified and extracted.
Every URL is a target. We deploy the optimal extraction strategy automatically — API integration, meta tag parsing, browser rendering, or AI analysis.
Automatically detects the entity type on any page — Restaurant, Product, Event, Person, Article, MedicalCondition, SoftwareApplication, and 200+ more schema.org types.
Every response is specification-compliant JSON-LD with proper @context, @type, and validated property names. Drop it directly into your knowledge graph or downstream pipeline.
Three-tier acquisition system: stealth browser rendering for bot-protected sites, fast headless rendering for standard pages, and direct HTTP for lightweight targets.
Instead of feeding your AI agent 50KB of raw HTML, we deliver a compact JSON object with only the facts that matter. Save tokens, reduce latency, increase accuracy.
Every extraction includes a confidence rating — high, medium, or low — based on extraction source and data quality. Know exactly how much to trust the intel.
Extract structured data from up to 10 URLs in a single request. Concurrent processing with per-URL timeouts and graceful failure isolation.
For high-value domains, we bypass generic extraction entirely. Purpose-built modules deliver native-quality data at zero LLM cost.
Direct integration with Reddit's JSON API. Full comment trees, vote counts, author data, and community metadata — extracted in under 2 seconds without rendering a single page.
Extracts patent numbers, inventors, assignees, filing dates, citations, related patents, and direct PDF links from 40+ citation meta tags — no AI required.
Universal citation meta tag parser covering 30+ academic publishers. Authors with affiliations, DOI, journal/volume/issue hierarchy, PDF links, references, and keywords.
Every URL runs through an intelligent pipeline that selects the fastest, most accurate extraction strategy.
URL validated, DNS checked, domain identified. Specialized fast-paths engaged if available.
Optimal scraping tier deployed — API call, stealth browser, or direct HTTP based on target defenses.
Existing JSON-LD analyzed. If insufficient, AI identifies entity types and extracts structured facts.
Validated schema.org JSON-LD with confidence scoring. Cached for rapid subsequent retrieval.
JSON Recon is accessible via the x402 payment protocol — the open standard for machine-to-machine payments over HTTP. AI agents discover our service at /.well-known/x402 and pay per-request using cryptocurrency on Base. No API keys, no subscriptions, no human sign-up required. Our endpoints are also listed in the x402 Bazaar, the protocol's machine-readable service catalog for automated discovery.