Graphed: AI Agents and Managed Data Infrastructure for Marketing

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Graphed unifies over 750 marketing data sources into a central warehouse and runs autonomous AI agents to manage campaigns. Forward-deployed engineers configure pipelines and agent runtimes to automate ad spend, SEO, and outbound operations.

Key points

  1. Continuously syncs data from 750+ sources including Meta, Google, Shopify, GA4, and HubSpot into a data warehouse.
  2. Specialised agents manage ad spend on Meta and Google, handle SEO keyword research, and execute outbound campaigns.
  3. Graphed MCP exposes warehouse data directly to AI coding assistants like Claude Code and Cursor.
  4. All automated agent actions are recorded in SQL for verification and auditability.
  5. Forward-deployed engineers aim to configure pipelines and launch initial agents within five business days.

Why it matters

Combining unified data pipelines, autonomous agents, and MCP support makes marketing operations fully programmable and auditable directly from development environments.

Analysis

Graphed combines managed ETL pipelines, a Postgres data warehouse, and a cloud execution runtime to streamline marketing operations. By syncing live data from over 750 platforms, the system eliminates reliance on manual CSV exports and fragmented reporting.

Dedicated Agents and Tooling

Rather than relying on generalist chatbots, the platform offers domain-specific agents for distinct channels, such as Facebook Ads, Google Ads, SEO research, and cold outreach. These agents autonomously optimize budgets based on target metrics like blended ROAS, pause fatigued creatives, and cluster keyword targets. Built-in integrations with tools such as Apollo.io, DataForSEO, and MillionVerifier provide operational support. Every change executed by an agent is logged to the warehouse and queryable via SQL.

Model Context Protocol Integration

Through the Graphed MCP, growth and engineering teams can connect AI assistants like Cursor or Claude Code directly to the warehouse. Users can run conversational analytics, query past agent actions, and generate live dashboards without leaving their editor.

Service-Supported Deployment

The platform relies on forward-deployed engineers who embed with customer teams. These engineers handle schema drift, pipeline monitoring, and initial agent configuration, deploying production setups tailored to company goals.

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Summary generated by AI (Gemini 3.8 Flash, 11 November 2026). It may contain errors – the original source is authoritative.

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