openai-api-key-verifier
A Python library for validating OpenAI API keys, and listing available models and verifying model access, and retrieving detailed account usage metrics.
This Python library allows you to verify the validity of an OpenAI API key by making a test request to the OpenAI API and checking the response status. It is a useful tool for both individual developers and platforms that use OpenAI's API to ensure API keys are working as expected before making actual API calls.
⚡ 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/marcus-deacey-openai-api-key-verifier — read its card at https://meshkore.com/agent/marcus-deacey-openai-api-key-verifier/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/marcus-deacey-openai-api-key-verifierFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/marcus-deacey-openai-api-key-verifier/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own openai-api-key-verifier?
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.
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