Frequently asked questions — B2B identity graph & architecture.

Standard directories store data in flat, disconnected rows. GraphIQ.ai treats global business data as an interconnected knowledge network of 300M+ organizations, 370M+ employees, and billions of operational signals. Every legal entity name variant, international subsidiary, office location, or title change resolves back to a single canonical entity node.

High-velocity signals are processed continuously across billions of operational signals. Core structural updates are fully resolved and updated within 24 to 72 hours of the primary filing event.

Instead of charging per user seat or locking data access behind expiring credit limits, you pay only for the number of unique companies your workspace actively monitors. Stackable API packs priced at $99 per 25,000 calls — with non-expiring usage terms.

The Model Context Protocol (MCP) is an open standard. GraphIQ.ai hosts a native HTTP MCP server (https://app.graphiq.ai/mcp). This allows agents built in Claude Desktop, Claude API, OpenAI Responses API, or LangChain to query our 300M+ organization graph natively, reducing model hallucination rates by up to 87%.

GraphIQ.ai is a B2B identity graph that resolves 300M+ organizations into structured, continuously updated data — employees, relationships, signals, and corporate hierarchies — accessible to your revenue team and AI agents through the product UI, API, and MCP server.

GraphIQ operates as a headless data layer, prioritizing a Model Context Protocol (MCP) first engagement that streams relationship data directly to your AI workflows. While a native HubSpot integration is live and a Salesforce connector is in development, you can immediately enrich Salesforce, Dynamics, and custom CRMs headlessly using our MCP server, API, or webhooks.

Unlike rigid, row-based legacy directories like ZoomInfo or Apollo, GraphIQ is designed as a headless B2B knowledge graph built for native MCP and AI agent engagement. Rather than functioning as a surface-level workflow overlay, we serve as the primary underlying data layer, exposing transparently cited entity relationships directly to your stack.

GraphIQ primarily powers CRM data enrichment, outbound GTM prospecting, deep account intelligence, and market signal monitoring. It is also heavily utilized for vendor supply chain vetting & diversification, competitive benchmarking, and building custom internal data pipelines via our API.

Yes. GraphIQ.ai exposes its identity graph via an MCP server (Model Context Protocol), giving Claude, ChatGPT, LangChain, and custom agents structured B2B context to reason over — not flat-file exports.

A database stores flat rows of records. A graph resolves real-world entities — every company linked to its subsidiaries, employees, active signals, and industry connections through verified graph edges. When you query GraphIQ.ai for Lucasfilm, you receive the full 153-entity corporate family tree, not an isolated row of text.

GraphIQ.ai processes 5 billion signals per day across job change events, news, regulatory filings, active hiring postings, and relationship updates. Every record reflects live state, not a stale quarterly batch refresh.

Salesforce, HubSpot, Microsoft Dynamics, Clay, ChatGPT, Claude, LangChain, and custom endpoints via the REST API. MCP server access is available at Pro and above for automated AI workflows.

300M+ organizations as of current indexing. Coverage is global, with highest density in North America, Western Europe, and Asia-Pacific.

Continuously. GraphIQ.ai processes signals daily and updates entity records as new information arrives. There is no fixed batch-refresh cadence.

Yes, via the Model Context Protocol (MCP) server available at Pro and above.

Minimum 3 to 5 resolved accounts. Seeds can be submitted as domain lists, CRM exports, or entity IDs.

Yes. Call search_organizations with similar=True parameter and pass anchor entity IDs. Supported at Pro and above.

Yes. The identity graph ingests billions of operational signals. New organizations matching your seed fingerprint surface automatically.

No. The full signal engine is included. No category exclusions.

Via search_news MCP tool. Accepts entity ID, signal topic filters, sentiment polarity, and maximum signal age in days.

Yes. Webhook delivery routes to Salesforce, HubSpot, or any CRM with an open webhook endpoint.

No. Because MCP is a completely provider-agnostic standard, our server functions out-of-the-box across any protocol-capable environment. This includes Anthropic Claude (claude.ai connectors, Claude Desktop, Claude Code), OpenAI (Responses API, Agents SDK), LangChain networks, LangGraph architectures, or custom internal Python setups.

Every session initiated via an API key or an authorized OAuth token runs within an isolated environment. Automated agents can only visualize, reason over, and interact with data boundaries mapped directly to your enterprise plan credentials, preventing any cross-tenant data bleed.

Standard reads return in under 200ms (production p50). The server implements Server-Sent Events (SSE) streaming on large payloads so the model can begin reasoning loops before the full data packet completes.

AWS Gateway-style three-dimensional throttling model (Rate, Burst, Quota), managed via Redis caches. HTTP 429 with explicit retry_after counters on limit hits.

Stackable API packs at $99 per 25,000 calls. Non-expiring, carry forward indefinitely. No hard stops.

REST for traditional integrations — ETL pipelines, batch enrichment. MCP for AI agents that need to query the graph as part of an active reasoning loop.

Keyword and boolean search match against text strings. Fingerprint Search matches against a capability profile constructed from your plain-English description.

Yes. The fingerprint parser decomposes compound queries into dimensional components — capability cluster, geographic constraint, organizational scale, corporate hierarchy position, and real-time signal filter.

GraphIQ programmatically caps immediate fingerprint matches to a couple of thousand companies at most. Our validation models prove that matching accuracy decays heavily past this threshold.

GraphIQ limits initial semantic outputs to a couple of thousand highly resolved company entities because it forces maximum alignment with real-world capability footprints across our 300M+ organization graph.

Traditional providers act as applications — SDRs use them for isolated profile lookups, creating fragmented data silos that decay quickly inside your CRM. GraphIQ.ai is an infrastructure layer. It synchronizes data modifications across your data warehouse, product applications, engineering workflows, and human pipelines simultaneously, ensuring your entire ecosystem moves from a single, verified system-of-record.

As your organization scales into new verticals, launches product lines, or expands headcount, our graph responds elastically. Because our structural model removes per-seat licensing boundaries and credit meters, you can instantly provision data access for newly acquired teams, spin up internal automation codebases, or deploy thousands of autonomous AI agent loops with complete budget predictability.

All of them — from the same architecture. Revenue operations teams use it for CRM enrichment and territory design. Sales and marketing teams use it for account-based prospecting. Developers and AI teams connect via REST or MCP for agent grounding. Government and defense procurement teams use it for supply chain mapping. Private equity and VC firms use it for proprietary deal sourcing. One data layer, zero duplication of infrastructure costs.

We map company capabilities by evaluating real-time operational signatures — job description syntax, SEC filing annotations, product documentation keywords, and vendor registries.

Yes. Delivered as clean, structured JSON-LD payloads — ready for your warehouse, CRM, or AI agent.

For relationship-driven GTM — account hierarchies, lookalike discovery, and agent-ready data — yes. Some teams keep their current provider for some time while they get used to managing via relationships and not rows. We'll give you a straight answer for your use case.

Instead of exporting a list and stitching parent/child accounts together yourself, you ask the graph a question — "show every subsidiary of this account that's hiring" — and traverse the answer directly. Agents can do the same through the MCP server.

We offer a 2 week free trial — just contact us and let's get you set up before you commit.

Partly. GraphIQ.ai replaces the data layer with a graph — but it isn't an outreach tool. If you rely on Apollo's built-in email and dialer, keep that and let GraphIQ.ai feed it better-targeted, relationship-aware accounts.

No. Clay orchestrates enrichment and automation across many sources; GraphIQ.ai is one of those sources — the graph-native one. They're designed to sit together, not replace each other.

Add it as an HTTP API enrichment in your Clay table, or call the GraphIQ.ai API from a Clay HTTP step. Authenticate with your API key and map a domain column as the input.

The resolved entity ID, corporate hierarchy (parent and subsidiaries), people with verified titles, and live signals such as hiring, funding, and M&A activity.

Standard tools match on strings and append fields; GraphIQ.ai first resolves each record to a unique entity, so the data attaches to the right account — and its hierarchy — instead of a near-match.

The opposite. Entity resolution collapses existing duplicate records into a single canonical entity, each with a confidence score you can audit.

Any CRM you can reach by API or through Clay. GraphIQ.ai returns resolved entities and fields you write back to your records.

Each account is scored not just on size, but on its position in the graph — family relationships, connected entities, and live signals — so a territory's weight reflects real opportunity, not a headcount proxy.

Yes. Layer graph weighting on top of your geo or segment rules to refine the model you already run — you don't have to start from scratch.

As often as you like. The underlying graph updates continuously, so re-running territory math is a query you can repeat every planning cycle — or more.

As deep as the graph resolves — from global ultimate parents down to local subsidiaries and acquired brands, each represented as its own entity you can act on.

Yes. Pass your closed-won accounts and GraphIQ.ai returns the full corporate family for each, ranked by fit and signals — in the app, via API, or through the MCP server.

Yes — mergers, acquisitions, and corporate-family changes are ingested continuously, so new subsidiaries surface and stale links retire automatically.

A Model Context Protocol endpoint that lets LLMs and agents call GraphIQ.ai directly — resolving entities and traversing the graph as native tools, with no export step in between.

No. Agents can query the MCP server directly; Clay and your CRM are optional activation targets for whatever the agent resolves.

The graph returns resolved entities with confidence scores and provenance, so agents act on verified relationships instead of inferring them from raw text.