Browser-based AI image annotation for computer vision — draw one box and DINO-X labels every matching object across your whole dataset.
Data & AnalyticsFree
Mindcase
Released
0 bookmarks
Summary
Web data extraction APIs for AI agents — 75+ ready-made scrapers for LinkedIn, Amazon, Google Maps, Reddit and X, priced per result.
Screenshots
Description
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.
Reviews
Similar App Suggestions
Turn a Postgres database into working memory for AI agents — relational rows, graph traversal and vector search fused into one ranked, token-budgeted context block.
Data & AnalyticsFreemium
One API to search, scrape, crawl, map and monitor the web, returning clean structured text that AI agents and RAG pipelines can use directly.
Data & AnalyticsFreemium
An OpenTelemetry-native control plane for AI agents that enforces policy mid-run instead of paging you after the incident, with cost attribution and EU AI Act evidence built in.
Data & AnalyticsFreemium
A vectorless RAG engine that builds a tree index of long PDFs and lets an LLM reason its way to the right section, with page-level citations.
Data & AnalyticsFreemium