Agent accessSEO landing

A reader API built for AI systems

A reader API should return the substance of a page, not the browser experience. AI systems need stable content surfaces that are fast to cache, cheap to prompt and easy to monitor.

Primary use

Expose web content to agents and retrieval systems through a reader-style API that prioritizes clarity over browser markup.

Recommended flow

Fetch, clean, measure tokens, then hand consistent Markdown to agents or retrieval systems.

Next step

Use the Playground to compare raw HTML against optimized output before integrating the API.

What a reader API should expose

The API surface should be small: input URL or HTML, output Markdown plus metrics. Complexity belongs inside the extraction layer, not in the consumer contract.

Stable output format.
Deterministic token counts.
Structured errors when fetches fail or content is unsafe.

Where it fits

Reader APIs are useful in browser agents, ingestion pipelines, search indexers and support bots that must repeatedly read changing pages without carrying full browser state into the model.

Internal links

Related technical paths

Open Playground

Reader API

URL to Markdown API for AI ingestion

Convert live pages into clean Markdown with stable token metrics and predictable output for AI systems.

Agent browsing

Prepare browser agent content for model use

Give browser agents compact page context instead of forcing them to reason over raw DOM noise.

Core positioning

AI ingestion infrastructure for websites

Normalize public web content into consistent, low-noise context that AI systems can index, retrieve and reason over.