Build AI-native GTM products on a B2B identity graph.
Traditional REST interfaces force software engineers to manage heavy payloads, handle complex entity mapping loops, and parse messy text lookups. GraphIQ.ai gives developers programmatic access to a B2B identity graph—300M+ resolved organizations, 370M+ employees, and billions of operational signals—via a REST API and a native Model Context Protocol (MCP) server for AI agents. Build advanced internal scoring models, automate CRM cleansing loops, and ground LLM agents using highly structured semantic responses.
Access paradigm architecture: REST API and MCP server.
The REST API Core
Delivers clean, structured JSON-LD entity responses using canonical URIs, typed attributes, and clear data provenance markers. Controlled using AWS Gateway-style three-dimensional throttling mechanics (Rate / Burst / Quota limits). Available starting on Pro tiers.
/platform/api →The Model Context Protocol Server
Built explicitly for autonomous AI agent operations. Tools are instantly discoverable upon connection, returning compressed, token-efficient payloads designed for LLM reasoning loops. Read-only models activate on Pro tiers; full Read/Write operations unlock on Scale plans.
/platform/mcp →How does our structural pricing layout alter product builds?
Traditional data vendors restrict product testing because they use expiring monthly credit caps. GraphIQ.ai supports technical growth with Non-Expiring, Stackable API Packs.
What does a standard JSON-LD API response look like?
Complete schema arrays are detailed at docs.graphiq.ai.
Can we deploy both REST API and MCP server inside the same subscription?
Yes. Pro and Scale plans feature dual access patterns.