For AI agent buildersPreview · in development

Structured web data your agent tools can trust

Planned: multi-provider scraping orchestration with LLM-based extraction, automatic fallback chains, and confidence-routed model selection.

This is a teaser of an upcoming integration. Join the waitlist to get early access and shape the direction.

What you get

Key capabilities

Schema-enforced LLM extraction

Define your output shape once. The API will send cleaned HTML and your schema to an LLM and return JSON validated against it. Malformed extractions will be quarantined, not silently returned.

Multi-provider fallback

Designed to route each request across 8 scraping providers (Firecrawl, Jina, Brightdata, Zyte, Scrapingbee, Oxylabs, ScraperAPI, Apify). If one fails or rate-limits, the next will fire automatically. The response will include the provider chain so your agent can log or react.

Confidence-based model routing

Target behaviour: cheaper models first (e.g. Gemini Flash, Claude Haiku); when the output fails your schema or confidence drops below a threshold, the API will escalate to a stronger model automatically. Control cost per request while protecting output quality.

Agent-ready JSON output

Structured output designed to map directly to your agent framework's tool parameters or context window. Any framework that can call an HTTPS endpoint will work: LangChain tools, CrewAI tasks, OpenAI function calling, Vercel AI SDK.

Shape the direction with us

Join the waitlist. Early adopters get direct input on scope and priorities before GA.