Key strengths
Agentic AI for revenue automation (prospecting, outreach, research, forecasting)Universal Context layer that auto-logs emails, calls, and product/billing dataMCP server and developer platform (API, SDK, MCP)Real-time enrichment and ICP scoringCall Intelligence and meeting analysisWorkflow orchestration and custom agentsTrusted by 30,000+ customers at scale (2.6B API requests/month, 76k active customer agents)
Free tier + paid plans · from $35 USD/mo
Facts verified against attio.com on
Get alerts when Attio changes
Free. We'll email you when pricing, the free tier, API access or open-source status changes.
No ratings yet
Technical Use Cases
Attio's API, SDK, and MCP server make it a strong fit for engineering and data teams building revenue infrastructure:
- LLM-powered sales agents — use the MCP server to give Claude or ChatGPT direct read/write access to CRM records, enabling autonomous prospecting and outreach agents
- Custom enrichment pipelines — call Attio's real-time enrichment and ICP scoring endpoints from your own data pipelines (e.g., via Segment or Clay) to keep records fresh without manual intervention
- Bi-directional product-led growth (PLG) data sync — pipe product and billing events into the Universal Context layer so sales reps see usage signals alongside communication history
- Workflow automation at scale — orchestrate multi-step revenue workflows using Attio's agent runtime; with 76k active customer agents and 2.6B API requests/month, the platform is proven at production scale
- Call Intelligence ingestion — programmatically retrieve meeting analysis and call summaries to feed downstream analytics or alerting systems
- CRM-as-a-backend — embed Attio as the system of record inside internal tools built with Linear, Notion, or ClickUp, using the API to sync state across platforms
- Event-driven triggers — combine Zapier or native webhooks with Attio workflows to react to CRM state changes in real time
Alternatives
See all alternatives