The infrastructure for the agentic web is finally getting a yardstick. Anchor Terminal has released a new ranking system that evaluates developer tools specifically on their compatibility and ease of use for AI agents. The leaderboard, which debuted on Hacker News on October 4, 2026, moves beyond simple API documentation to assess how well these tools can be operated by autonomous software rather than human eyes.

The Top Tier: OpenAI and Stripe Dominate

The OpenAI Agents SDK sits comfortably at number one with a grade of AA and a score of 86.5. This framework is followed closely by the standard OpenAI API (Grade A, 82.8) and the Stripe API with MCP support (Grade A, 82.4). The ranking highlights that while raw model access is critical, the ability for an agent to handle payments and complex logic via standardized protocols like MCP (Model Context Protocol) is becoming a primary differentiator for 'agent-friendly' status.

Emerging Protocols and Payment Rails

A significant portion of the high-scoring tools are not just traditional APIs, but payment and protocol layers. The Machine Payments Protocol (MPP) by Tempo and Stripe scores an 81.1, while the x402 protocol from the Linux Foundation secures an A-grade with 79.7. These entries signal a shift where financial transactionability and standardized agent-to-agent communication are being rated alongside core storage and compute services. Tools like Infisical for secrets management (81.9) and Twilio for messaging (80.4) also crack the top ten, proving that agents need robust identity and communication rails to function in the real world.

Frameworks and Agent Harnesses Lag Behind

While infrastructure tools perform well, some popular agent frameworks struggle to achieve top-tier grades. Pydantic AI manages an A-grade (80.0), but other well-known frameworks like LangGraph (BB, 70.6) and CrewAI (B, 67.0) fall into the lower tiers. Agent harnesses fare even worse, with OpenAI Codex scoring a BB (73.4) and Google's Agent Development Kit (ADK) sitting at BB (74.9). This suggests that while the underlying plumbing is becoming agent-ready, the higher-level orchestration tools may still require significant human intervention to configure effectively.

Key Takeaways

  • OpenAI Agents SDK leads the pack with a score of 86.5, setting the current benchmark for agent integration.
  • Payment protocols like MPP and x402 are emerging as critical infrastructure, scoring higher than many traditional SaaS APIs.
  • Major agent frameworks like LangGraph and CrewAI currently grade lower than the raw APIs they often connect to.
  • The ranking heavily favors tools with MCP (Model Context Protocol) support, indicating its growing role as the standard interface for agents.

The Bottom Line

We are moving past the phase of 'can an agent call this API?' to 'can an agent navigate this ecosystem?' Anchor Terminal's ranking proves that the winners will be the tools that speak the language of agents, not just humans.