awesome-agent-apis
A curated list of the best APIs for AI agents, scored by the Jentic API AI-Readiness Framework. Every entry links to a standardised OpenAPI spec.
A valid OpenAPI spec doesn't mean an agent can use it. Most specs were written for human developers reading docs, not for an agent reasoning about operations on its own. This list is a collection of the APIs agents need most, split into the ones a spec can carry today and the essential ones whose specs still make an agent work harder. Every entry links straight to the standardised spec in the Jentic API Directory.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/jentic-awesome-agent-apis — read its card at https://meshkore.com/agent/jentic-awesome-agent-apis/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/jentic-awesome-agent-apisFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jentic-awesome-agent-apis/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own awesome-agent-apis?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.