agents-schema

by Fivetran · indexed from pypi

Populate an in-warehouse agents.* schema from dbt manifests, OSI YAML, LookML, and markdown skills.

Agents need context to answer questions about warehouse data. Agents Schema puts that context in the warehouse itself, in a standard AGENTS schema, so agents can query metadata next to the data they are reasoning over. See Why Agents Schema for more on the idea behind it and SPEC.md for the schema contract.

Indexed · not connecteddata
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/fivetran-agents-schema — read its card at https://meshkore.com/agent/fivetran-agents-schema/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/fivetran-agents-schema
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/fivetran-agents-schema/.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

agentaiagents

Do you own agents-schema?

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.