Changelog - LLMLAYER API Documentation

June 2026

Extract API launch

New: Extract API — `POST /api/v2/extract`

Turn any web page into exactly the data you need, in a single call. Combine any of five modes — one page fetch is shared across all of them, and AI modes run in parallel:

Mode	What you get	Price
`json`	Structured data matching your schema (formal schema, example object, or plain English)	$0.005
`summary`	Faithful markdown summary	$0.005
`qa`	Answer to your question, grounded only in the page	$0.005
`links`	Every link on the page, deduplicated, internal/external classified	$0.001
`brand`	Brand kit: logos, colors, socials, industry classification	$0.002

Highlights:

List extraction with real URLs — when your schema asks for links, the API recovers per-item hyperlinks that page-to-text conversion normally loses
Fair billing — failures before any AI cost (page fetch failure, empty content, brand failure) are fully refunded, automatically
Page metadata included by default on every response
All five result fields are always present in the response; unselected modes are null

Read the Extract API docs →

SDKs v0.3.0

Python (pip install llmlayer): new client.extract() and client.extract_async(). The json mode result is exposed as response.structured_data
TypeScript (npm install llmlayer): new client.extract() with both extract(args) and extract(url, opts) call styles
Both SDKs now map HTTP 422 responses to InvalidRequest for cleaner error handling

Dashboard

New Extract playground with a visual JSON schema builder: typed fields, nested objects, list-of-objects extraction, and a live schema preview — no JSON writing required

Docs

New Errors & Refunds reference covering every error format, status code, and the automatic refund policy
This changelog

Errors & Refunds Extract Examples