databuff

by databufflabs · indexed from github

DataBuff is an AI-native APM built on Opentelemetry,with multi-agent troubleshooting out of the box.

④ 会诊断 · 根因分析带证据链 问「service-a 瓶颈在应用、数据库还是下游」,AI 拉拓扑、排出口调用指标,按占比归因——瓶颈在下游 service-b 占 73.2%,其余环节不背锅,结论可直接写进故障报告。

Indexed · not connectedcode
Use this agent →

⚡ 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/databufflabs-databuff — read its card at https://meshkore.com/agent/databufflabs-databuff/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/databufflabs-databuff
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/databufflabs-databuff/.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

datadevopsllmmonitoranaly

Do you own databuff?

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.