AI deep research API that checks every cited claim against its source
AI model of your product's business logic accessible to people and AI agents
Stage
Startup
Not given
Founded
2026
Not given
Based in
US
GB
Pricing model
Paid
Freemium
Pricing
Not given
Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
Key features
Searches 45+ structured sources including SEC filings, statistics agencies, scholarly indexes, books and government records
Workspace vault with searchable full-text source storage and independence clustering
Integrated MCP server for Claude, Cursor, ChatGPT and other clients
Contradiction mapping identifies and investigates disagreements in evidence
Automatic report generation with verified citations before shipping
Citation verification API for external documents
Markdown import and export for vault documents
Integrated Answers MCP with ask and search tools for AI agents
Builds features, rules and customer paths and keeps them current with every push
Shows what each commit changed in the business logic, not only in the code
Provides change impact analysis before merge showing what could break
Checks PRDs and specifications against the product
Delivers understanding to AI agents over MCP
Runs locally on your machine with GMM Local
Finds risky patterns and problems in the product
Enterprise deployment inside your security boundary
Integrates with Claude Code, Cursor, Codex and VS Code
MCP access for agents with 1-10 credits per answer
What makes it different
Every cited claim is verified against the original source before report delivery
Searches structured sources like SEC filings and scholarly databases alongside the open web in one call
Delivers answers with word-for-word quotes so readers can verify in one click
Open-source CLI that powers the hosted service, maintaining feature parity
Pay-as-you-go pricing with no minimum commitment or sales team required
Nearly 3× fewer errors on Benchmark 001 compared to alternatives
8.4K tokens per question instead of 27.4K for competitors
Results published and measurable; method is proprietary
Reduces AI cost per completed agent action from $0.35 to $0.08
Hyperresearch
GitMir