The AI Reference Layer for Implementation Decisions
Stage
Startup
Not given
Founded
2026
Not given
Based in
GB
US
Pricing model
Free trial
Freemium
Pricing
Solo: $9/month for 2 prompts or $90/year; Starter: $19/month for 5 prompts or $190/year; Growth: $29/month for 9 prompts or $290/year; Scale: $49/month for 15 prompts or $490/year. Yearly pricing is ten months' price, offering two months free. Above 15 prompts, email for custom pricing. 7-day free t
Free tier: 1,000 API calls per month. Starter: $19/month. Pro: $49/month. Business: $199/month. Builder: $19/month with 1,000 task executions. Scale: $49/month with 5,000 task executions.
Key features
AI visibility tracking across six engines with separate rates for each
Prompt tracking with search volume data from Google
API, CLI and MCP server on every plan at the same rate limit
Evidence API with citations and governed benchmark runs
Knowledge Graph connecting models, providers, benchmarks and workflows
Rate limiting and monthly API allowances
MCP server for agent integration
Bearer token authentication
Reference profiles and implementation context
Status and methodology visibility for evidence gaps
What makes it different
Tracks all six AI engines on every plan with no engines held back for higher tiers
Reports each engine separately instead of averaging them together
Shows denominator with every rate, never percentages on samples below five
Includes API, CLI and MCP server for AI agents on all plans at same rate
Every benchmark score includes methodology limitations and claim scope so evidence cannot be presented without context
Connected reference system organizing AI knowledge fragmented across announcements, docs and research
All tiers access the same evidence base; differences are only in call volume and support
Governance-aware methodology for compliance and risk review
Free read access to all tutorial, reference and comparison content