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The thesis

Web data agents can trust, not just fetch.

We build the web context API for AI agents. The mission is simple: give a model a live, readable, and auditable view of the web, so it can act on what it reads instead of hoping it is right.

The problem with black-box scrapers

Agents now read the web at scale. The tools that feed them mostly do not say how sure they are. A scraper hands back a blob of text and walks away. The model cannot tell a solid read from a lucky one, so it treats every field with the same blind confidence. That is fine until a price is wrong, an address is stale, or a parser grabbed the wrong node, and the agent acts on it anyway.

A web data layer for agents has to do better than return text. It has to report what it knows and how it knows it. When a site publishes structured data we read it directly, so the answer is exact, not estimated. When we fall back to an LLM, we say so. The result is a measurement, not a vibe.

/v1/extract → acme.com
confidence97%
sourcejson-ldmethodstructuredconf0.97

Example readout (values from a real /v1/extract response shape). Every structured result ships with this readout.

What we stand for

Four commitments. They shape every endpoint, every default, and every line of the docs.

Verifiable

A result without provenance is a guess. Structured output carries a confidence score and a record of how each field was read, so a model can decide whether to trust a field, retry, or escalate. We would rather hand back a number than a promise.

Fresh

An agent acting on stale data acts wrong. The default is a live read, every request. No silent cache. You opt into caching when you want it, not the other way around.

Agent-native

The protagonist is the agent, not a human at a dashboard. It provisions its own key, reads a SKILL.md, and connects over MCP. The API is shaped for a loop, not a signup flow.

Compliant

We respect robots.txt by default and treat data access as a responsibility, not a loophole. Compliance is a default, not a setting you have to find.

Our mission is to make the live web something an AI agent can read, trust, and act on, with a confidence score and a source trail on every structured result.

The web context API for AI agents.

See it return a confidence score

Paste a URL in the playground and watch the readout, or read the docs. No sales call, no credit card.