Base: $50/mo for 50,000 points per month. Core: $100/mo for 100,000 points per month. Pro: $250/mo for 250,000 points per month. Ultima: $500/mo for 500,000 points per month. Enterprise: $1000/mo for 1,000,000 points per month. Custom option available for higher volumes. Search costs 5 points per ca
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Key features
AI research for structured, cited answers across sources
AI extraction converts pages to clean JSON without selectors
250+ data sources including company registries and business intelligence
MCP server integration with Claude, OpenAI, and other clients
REST API for custom agent code
Web search capability for AI agents
Points-based pricing model with no per-source fees
AI research depth tiers from quick lookups to exhaustive investigations
Context Graph of Work - continuously updated model of how work gets done across enterprises
Blueprint for AI roadmap planning with defensible ROI recommendations
Process Intelligence to identify bottlenecks and prioritize automation
Engineering Intelligence for unified view of developer work
Work-aware agents grounded in real operational context
Zero-integration capture across legacy and modern systems
In-environment processing with data staying in customer perimeter
Agentic Operating Procedures for governed agent execution
Audit logs and compliance tracking for every agent decision
Built on 25B+ events from 500+ observed processes
What makes it different
Unified API and MCP access to 250+ data sources without stitching scrapers
Structured, cited answers synthesized from comprehensive source catalog
No HTML parsing or selector maintenance required for extraction
One request format for all company intelligence and registry sources
Points reset monthly with no per-source pricing complexity
Observes actual work at scale across enterprise systems rather than relying on assumptions or documentation
Delivers AI agents that work in production at scale, not just pilots
Provides measurable ROI and audit trails for AI spending and decisions
Privacy-first architecture keeps sensitive data within customer environments