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Integration

GraphIQ.ai + Clay

Clay is where modern GTM teams orchestrate enrichment and automation. GraphIQ.ai plugs in as a graph-native data source — so every Clay table can resolve entities, traverse corporate hierarchies, and pull live signals, not just append flat fields.

Better together — or on its own

Run GraphIQ.ai inside Clay — or straight into your LLMs.

Used alongside Clay, GraphIQ.ai makes it more affordable, more connected, and more actionable — resolving entities once and grounding every enrichment in a real graph. But GraphIQ.ai isn't an orchestration tool, and plenty of customers skip the canvas entirely, wiring our MCP server straight into their LLMs. Which path fits comes down to how you've built your GTM.

Clay Orchestration
  • Spreadsheet-native canvas for building enrichment waterfalls
  • Connects dozens of data providers and tools in one place
  • Automations, AI columns, and sequencing handoffs
GraphIQ.ai The graph source
  • Resolves each row to a real entity — not a fuzzy text match
  • Returns the full corporate family tree to traverse in-table
  • Adds live signals — hiring, funding, M&A — as enrichable fields
Two ways to run it

Pick the path that fits your GTM.

GraphIQ.ai is the graph, not the orchestration layer — so it slots in wherever your team already works.

Alongside Clay

For teams orchestrating in Clay

Add GraphIQ.ai as a source in your Clay tables to make the whole workflow more affordable, more connected, and more actionable — resolve once, then enrich and traverse from there.

  • Cut waterfall spend by resolving entities once
  • Keep your existing automations and AI columns

Direct via MCP

For teams building on LLMs

Skip the canvas. Wire the GraphIQ.ai MCP server straight into your LLMs and agents, so they query the graph and act on relationships in the moment — no spreadsheet in between.

  • Agents traverse the graph live, no export step
  • Fits custom GTM stacks built around your own LLMs
Use cases

What you can build together.

Graph-grounded enrichment

Drop GraphIQ.ai into your Clay enrichment waterfall to resolve each domain to an entity, then append hierarchy and signal fields.

Hierarchy-aware lists

Expand a Clay table from a single parent company to its full corporate family tree — every subsidiary, as its own row.

Signal-triggered plays

Kick off a Clay automation when GraphIQ.ai detects a hiring spike, funding round, or acquisition on an account you track.

Agent → Clay handoff

Let an agent query the GraphIQ.ai MCP server, then write resolved, ranked accounts into a Clay table for activation.

Setup

Connect in three steps.

If you can add an HTTP enrichment to a Clay table, you can add GraphIQ.ai. No engineering required.

01

Add GraphIQ.ai as a source

Add an HTTP API enrichment in your Clay table and authenticate with your GraphIQ.ai API key.

02

Map your input column

Pass a domain or company name; GraphIQ.ai returns the resolved entity and its graph.

03

Enrich & traverse

Pull hierarchy, people, and signal fields into columns — then activate from Clay as usual.

FAQ

Frequently asked questions

Is GraphIQ.ai a Clay competitor?

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.

How do I connect GraphIQ.ai to Clay?

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.

What fields can I pull into a Clay table?

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

Bring the graph into your Clay workflows.

Add GraphIQ.ai as a source in Clay and turn flat tables into connected accounts — free to start, in minutes.