Mastra vs Clay
Side-by-side comparison to help you choose the best tool.
Mastra
freeMastra is an open-source TypeScript AI system for building agents, workflows, and RAG applications. It provides a unified abstraction for LLM calls, tool use, memory, and workflow orchestration with built-in evaluation and observability. Mastra is designed as a production-ready system with a developer experience comparable to Next.js for AI application development.
Clay
freemiumClay is a modern GTM (go-to-market) data enrichment and outreach platform that combines 75+ data providers with an AI research agent called Claygent. It lets sales and growth teams build hyper-personalised outreach at scale by automatically enriching lead lists with company news, job changes, tech stack data, and LinkedIn activity - then using AI to write tailored messages for each prospect.
| Feature | Mastra | Clay |
|---|---|---|
| Pricing | free | freemium |
| Category | - | - |
| Rating | 4.3 | 4.7 |
| Best For | TypeScript developers building production AI agents, workflows, and RAG applications who want a modern, opinionated system with excellent DX | GTM engineers and sales teams building highly personalised outbound campaigns with automated AI research |
| Views | 37 | 37 |
Pros
- TypeScript-first for frontend and full-stack teams
- Production-ready with built-in evaluation
- Developer experience comparable to Next.js
Cons
- TypeScript only
- Newer framework with smaller community
Pros
- Unmatched data enrichment depth
- Automates hours of manual prospect research
- Flexible no-code table interface
Cons
- Steep learning curve for new users
- Credit-based pricing can add up quickly
- TypeScript AI agent framework
- Workflow orchestration
- RAG with built-in vector search
- Built-in evaluation
- Model-agnostic
- Claygent AI research agent
- 75+ data enrichment sources
- AI-generated personalised outreach
- Waterfall enrichment logic
- CRM & sequencer integrations