Copy-paste schemas for common extraction tasks. Every example works with the same API: swap in your own document or URL and adjust the schema, or let an AI council design one for you.
Extract requirements from construction spec sections
Turn a CSI MasterFormat spec section into a checkable table: every requirement with its article number, whether it is mandatory, numeric limits with units, referenced standards, and submittals, each with the page and quote it came from.
Extract equipment data from submittals and product data sheets
Pull model numbers, capacities, electrical data, dimensions and certifications from equipment submittals, ready to compare line by line against the specified values.
Extract rules from utility service standards
Turn utility standards like electric and gas service requirement manuals into structured rules: clearances, meter locations, conductor sizes and exceptions, with the section and page for each.
Extract equipment schedules from MEP drawings
Read mechanical, electrical and plumbing schedules off drawing sheets, including scanned sets, with AI vision page reading, and get one row per piece of equipment.
Extract readings from test, adjust and balance reports
Turn TAB and commissioning reports into rows of design versus measured values per terminal, so out-of-tolerance readings are easy to filter.
Extract job listings from Greenhouse job boards
Pull structured job title, location, department, and apply-link data from any company's Greenhouse-hosted careers page.
Extract product prices and ratings from Amazon listings
Get product title, price, star rating, and review count from any Amazon product page as clean JSON.
Extract real estate listings from Zillow
Pull address, price, bed/bath count, and square footage from a Zillow listing page.
Extract headlines and article metadata from any news site
Turn any news homepage into a structured list of headlines, authors, and publish times.
Extract repo stats from any GitHub page
Get stars, forks, open issues, and primary language from any public GitHub repository page.
Extract structured menu data from restaurant websites
Turn a restaurant's menu page into structured items, descriptions, and prices for building delivery/ordering integrations.