AI Agent Readiness Leaderboard
Which AI tools actually work with AI-agent workflows? We score every tool on 6 dimensions: MCP endpoint, public API, webhooks, developer docs, SDKs, and auth. Total out of 100. Automated weekly rechecks keep the scores current.
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Showing 24 of 2662 tools.
Ranked tools
- 10Agent#1777 · GetReal Security
Enterprise deepfake defense and media forensics company that detects AI-generated
- 10Agent#1778 · Ray Security
AI-powered predictive data security platform that monitors how employees, systems, and AI
- 10Agent#1779 · Sycamore
Building a 'trusted agent operating system' for the enterprise, a full lifecycle platform to
- 10Agent#1780 · Persona AI
Houston-based humanoid robotics company building purpose-built humanoid robots for heavy
- 10Agent#1781 · Zanskar
Uses custom AI models and geoscience data to discover hidden geothermal energy resources and
- 10Agent#1782 · Moonlake AI
Multimodal reasoning models that let anyone generate entire interactive simulations and games
- 10Agent#1783 · Maieutic Semiconductor
Bengaluru deep-tech startup building a generative-AI-first platform for analog and
- 10Agent#1784 · Stacks
AI platform for enterprise accounting teams that automates operational finance workflows
- 10Agent#1785 · Synthflow
Berlin-based no-code platform for building and deploying enterprise voice AI agents that
- 10Agent#1786 · Mechanical Orchard
Uses AI and reverse engineering to migrate large enterprises off legacy mainframe systems and
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- 10Agent#1790 · Sanctuary AI
Creating and deploying industrial-grade humanoid robots that work and think like people to address global labor challenges.
- API Webhooks rest
- API Webhooks OAuth2 rest
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- 10Agent#1794 · a2z Radiology AI
An intelligence layer for medical imaging, starting with comprehensive CT triage
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- 10Agent#1796 · AdsGency AI
Agentic AI ad agency that autonomously runs your entire paid marketing workflow
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- 10Agent#1799 · SuperDial
AI voice agents that automate healthcare's endless administrative phone calls
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FAQ
›What is MCP?
Model Context Protocol — a standard introduced by Anthropic for AI agents to call external tools. Tools that ship MCP endpoints can be used by Claude, ChatGPT Desktop, Cursor, and others without custom plumbing.
›How is the agent-readiness score calculated?
Each tool gets 0-100 across 6 dimensions: public API (30pt), MCP server (25pt), webhooks (15pt), OAuth/delegated auth (10pt), machine-readable docs (10pt), and official SDKs (10pt). Score is the weighted sum, rechecked as profiles are re-enriched. Full reference: /docs/agent-readiness.
›How often are tools rechecked?
Daily for new tools, weekly for the existing leaderboard. Drift in MCP/API surface area is flagged for editorial review before the score updates.
›What counts as agent-ready?
We consider a tool agent-ready if it has at least 3 of: MCP endpoint, public API, webhooks, OAuth2, an SDK, and good docs. Score 60+ generally means an agent can integrate without source-code-level access.
›Why are some tools missing?
We score every published startup in the directory. Stealth-mode and pre-launch tools aren’t scored until they ship a public product.