Clay vs Relevance AI
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Clay if you want programmable gtm data platform with ai research agents (claygent) (Supervised agent, freemium); choose Relevance AI if you want no-code platform to build and manage teams of autonomous ai agents (Supervised agent, freemium).
| Clay | Relevance AI | |
|---|---|---|
| What it is | Programmable GTM data platform with AI research agents (Claygent) | No-code platform to build and manage teams of autonomous AI agents |
| Type | platform | platform |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | freemium · Free tier; paid Launch from ~$185/mo (after March 2026 pricing change) | freemium · $19/mo (reported) |
| Best for | smb, mid-market, enterprise, developers | mid-market, enterprise, smb, developers |
| Deployment | saas, api | saas, api |
| Modalities | text, browser, api | text, voice, email, api, code |
| Models | model-agnostic, gpt, claude | model-agnostic, claude, gpt, gemini |
| Protocols | rest-api, function-calling | mcp, function-calling, rest-api |
| Integrations | HubSpot, Salesforce, Apollo, LinkedIn Sales Navigator, Slack, Gmail | HubSpot, Salesforce, Slack, Gmail, Apollo, Notion |
| Capabilities | 5 documented | 4 documented |
Clay
- +Composable enrichment: waterfalls across 150+ providers in one workflow beat any single-vendor dataset on match rate
- +Claygent plus Navigator can extract bespoke data (and interact with pages) that fixed providers miss
- +Free tier and broad integrations make it accessible, with API and webhooks for programmatic use
- -Steep learning curve; getting value requires building and tuning workflows, not just turning it on
- -Credit-based costs (split into Data Credits and Actions after the March 2026 pricing change) can be hard to predict at scale
Relevance AI
- +Genuinely no-code with a praised UI; non-technical users ship agents fast
- +Strong enterprise governance: evals, audit logs, RBAC, human approval and escalation, SOC 2 Type II
- +Model- and vendor-agnostic with broad integrations and two-way MCP support
- -Pricing is confusing and reportedly expensive; a 2025 dual-meter overhaul drew complaints
- -Reviewers report inconsistent output and credits draining unexpectedly
Which should you choose?
Clay is programmable gtm data platform with ai research agents (claygent), best for smb, mid-market, enterprise, developers. Relevance AI is no-code platform to build and manage teams of autonomous ai agents, best for mid-market, enterprise, smb, developers. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.
This comparison is generated from the sourced Clay and Relevance AI profiles. Open either profile to review its evidence and last-reviewed date.