the-astronomists-nasa-space-app-challenge-2025
🌌 AI Platform leveraging AI agents & ML models for exoplanet discovery - Nasa Space App Challenge 2025 (A World Away: Hunting for Exoplanets with AI)
🌍 NASA missions such as Kepler, K2, and TESS have produced massive datasets of stellar observations, yet exoplanet identification remains slow and mostly manual. The main challenge lies in the inconsistencies between missions — varying data formats, feature sets, and noise levels make it difficult to train a single model that performs well across all sources.
⚡ 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/paulhb7-the-astronomists-nasa-space-app-challenge-2025 — read its card at https://meshkore.com/agent/paulhb7-the-astronomists-nasa-space-app-challenge-2025/.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/paulhb7-the-astronomists-nasa-space-app-challenge-2025For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/paulhb7-the-astronomists-nasa-space-app-challenge-2025/.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 the-astronomists-nasa-space-app-challenge-2025?
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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