stoppingagents
Optimal stopping agents powered by generative large language models
Stopping agents are language agents — large language models that generate decisions — specialized for optimal stopping of conversations. Specifically, stopping agents observe the ongoing conversation text and make sequential wait or quit decisions that optimally tradeoff between waiting to accumulate more information and incurring waiting costs.
⚡ 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/emaadmanzoor-stoppingagents — read its card at https://meshkore.com/agent/emaadmanzoor-stoppingagents/.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/emaadmanzoor-stoppingagentsFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/emaadmanzoor-stoppingagents/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Do you own stoppingagents?
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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