name: query
description: Query Ethereum network data via ethpandaops CLI or MCP server. Use when analyzing blockchain data, block timing, attestations, validator performance, network health, or infrastructure metrics. Provides access to ClickHouse (blockchain data and OTel logs), Prometheus (metrics), and Dora (explorer APIs).
argument-hint:
user-invocable: false
ethpandaops Query Guide
This skill is a router. The full, always-current usage guide is owned by the code — read it first and follow it:
- CLI:
panda getting-started - MCP: read the
panda://getting-startedresource
It is generated live from the running server — workflow, discovery pointers, and
sessions — so it never goes stale. Dataset query rules (table syntax, partition-key
filters, FINAL, network filtering) live in per-dataset guides: panda datasets lists
them, panda datasets <name> shows one. Use panda docs <module> for a module's full
API and panda search examples "<topic>" for worked queries. Everything below is the
durable context those guides do not carry.
Discover names — don't hardcode them
Datasource, cluster, and table names are owned by the proxy and change over time, so enumerate them from the live tooling rather than pasting a name from memory, an old chat, or a screenshot:
panda datasources # datasources and their types
panda datasets # datasets and where they live
panda datasets <name> # one dataset's query guide
panda schema [<cluster> [<database> [<table>]]] # clusters → tables → schema
The embedded examples and docs (panda search examples, panda docs) are compiled from
the current binary, so the names in their output are current too — trust those.
Search before writing queries
Working query patterns live in the embedded examples and runbooks:
panda search examples "block arrival time"
panda search runbooks "finality delay"
Logs are in ClickHouse, not Loki
Container logs from hosted devnets and platform services ship via OpenTelemetry into
ClickHouse (external.otel_logs) — there is no hosted Loki datasource. For the schema
and the full procedure: panda search runbooks "debug devnet". (Local Kurtosis devnet
logs are the separate autodiscovered local-kurtosis datasource.)
Notes
- Prefer the CLI (
pandabinary); use the MCP tools (execute_python,manage_session,search) only if they appear in your tool list. - Each execution is a fresh Python process — variables do not persist, but
/workspace/files do. Default timeout 60s, max 600s. - NEVER recite or paste base64 image data. Save the image to
/workspace/andstorage.upload()it to return it to the user.