Fetch.ai vs Mastra
Fetch.ai vs Mastra, compared side by side on 24 data points: what each one does, how big it is, what it has raised, the tech running each site, and what users report. We score both out of 100 on traction, team and visibility: Fetch.ai is on 53/100 and Mastra on 76/100.
Where each one leads
Fetch.ai
- headcount: 89 against 53
- LinkedIn following: 22,140 against 6,591
Mastra
- our overall score: 76/100 against 53/100
- agent readiness: 58/100 against 47/100
At a glance
| Measure | Fetch.ai | Mastra |
|---|---|---|
| What it is | Decentralized network powering autonomous AI agents for discovery, collaboration, and transactions. | An open-source TypeScript/JavaScript framework for building AI agents, from the creators of Gatsby. |
| Category | Agentic AI, AI Agent, Multi-Agent Systems, Autonomous Systems | Agentic AI, AI Agents, Developer Tools, Open Source |
| Sells toBusiness model | B2B | B2B |
| Offering | Platform | Platform |
| Founded | 2017 | 2024 |
| Headquarters | Cambridge, United Kingdom | San Francisco, United States |
| Status | Active | Active |
Size, funding and growth
| Measure | Fetch.ai | Mastra |
|---|---|---|
| Employees | 89 | 53 |
| Headcount growthLast 12 months | Not published | +204.5% |
| Total funding | $40.0M | $35.5M |
| Latest round | Series B | Series A |
| LinkedIn followers | 22,140 | 6,591 |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | Fetch.ai | Mastra |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 53/100 | 76/100 |
| Traction | 58/100 | 70/100 |
| Team | 50/100 | 90/100 |
| Community | Not published | 25/100 |
| Search visibility | 32/100 | 59/100 |
| Quality | 58/100 | 78/100 |
| Agent readinessHow well an AI agent can read and act on the site | D (47/100) | D (58/100) |
| Domain ratingLink authority, 0-100 | 72/100 | 76/100 |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Fetch.ai | Mastra |
|---|---|---|
| Hosting | Vercel | Vercel |
| CDN | Vercel | Vercel |
| Frameworks | Next.js, Tailwind CSS | Next.js, Tailwind CSS |
| Analytics | Google Tag Manager | Not detected |
| Open source | Yes | Yes, 15,100 GitHub stars |
| Self-hostable | No | Yes |
Product and pricing
| Measure | Fetch.ai | Mastra |
|---|---|---|
| Key features | ASI:One Agentic LLMs, Agentverse Developer Platform, Flockx No-Code Agent Studio, Decentralized Network for AI Agents, uAgents Framework, Web3 Integration | AI Agent Framework, Workflows, RAG, Evals, Memory & Tool Selection, Open Source & Modular |
What users say
| Measure | Fetch.ai | Mastra |
|---|---|---|
| Community ratingVisitor votes on StartupHub | Not published | 5.0/5 from 1 vote |
Fetch.ai vs Mastra: common questions
Which is better, Fetch.ai or Mastra?
On our 0-100 score Mastra rates higher (76/100 against 53/100). The score weights traction, team, visibility and profile completeness, so it reflects company strength rather than which product suits you. We compare the two on 24 data points above: read the rows that match what you are buying for.
How do Fetch.ai and Mastra compare on the numbers?
Fetch.ai leads on headcount (89 against 53), LinkedIn following (22,140 against 6,591). Mastra leads on our overall score (76/100 against 53/100), agent readiness (58/100 against 47/100).
Read the full Fetch.ai review and pricing or the Mastra review and pricing. You can also browse other Fetch.ai alternatives we track.