Authorization layer for AI agent spend with human-approved mandates and tamper-evident proof
AI model of your product's business logic accessible to people and AI agents
Stage
Startup
Not given
Founded
2026
Not given
Based in
Not given
GB
Pricing model
Free trial
Freemium
Pricing
Free 12 week pilot for card issuing platforms
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
Passkey-signed spend mandates with purpose, budget, merchants, and time windows
Real-time authorization decisions with sub-1 second response time at p99
Human challenge via passkey step-up for exceptional spend
Fail-closed payment processing if no decision arrives in time
Hash-chained evidence ledger with tamper-evident records
Exportable evidence packs for chargebacks and audits
Supports card, wallet, x402 and stablecoin payment rails
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
Human-approved mandates enforce intent, not just static limits or merchant category blocks
Operates outside the agent in the issuer's authorization path, preventing agent bypass or override
Creates tamper-evident audit trail linked to agent identity, run, and policy version
Never holds funds or issues cards; integrates with existing issuer infrastructure
Single mandate and policy core across multiple payment rails and issuers
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
Levee
GitMir