Mindcase

Mindcase turns the public web into structured JSON that an AI agent can call directly, without anyone on your side maintaining a scraping stack. Instead of writing and babysitting parsers, you pick one of roughly 75 pre-built APIs — LinkedIn profiles, posts and companies, Amazon products, Google Maps places, Instagram profiles and Reels, Reddit threads, X/Twitter posts, Crunchbase records — and get back clean, typed fields.

What makes it different

The product is built agent-first rather than developer-first. Every endpoint can be reached three ways: from the browser console, by pasting a generated prompt into a coding agent, or over MCP, so Claude Code and other MCP clients can call the scrapers as tools with no glue code. Requests execute server-side, which means no proxy pool, no browser farm and no headless-browser bill on your infrastructure.

Pricing

There are no seats and no monthly plan. You buy credits that never expire — $19.99 for $20 of credit, scaling to a 30% bonus above $1,000 — and spend them per result. Published rates run from 0.01¢ per Reddit result and 0.025¢ per tweet up to 0.2¢ per LinkedIn or Instagram post and 0.4¢ per LinkedIn profile or Google Maps place. Custom pricing starts above $5,000.

Who it is for

Teams building research agents, lead-generation workflows, competitive-pricing monitors and market-intelligence pipelines who want the data layer to be a metered API call rather than an engineering project. Mindcase Technologies Private Limited lists BCG, McKinsey, Bain, EY-Parthenon, Nestlé, PhonePe and Swiggy among its customers.