| 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 | <query or question> |
| 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-started resource
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
panda datasets
panda datasets <name>
panda schema [<cluster> [<database> [<table>]]]
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 public devnets and platform services ship via OpenTelemetry into
ClickHouse (external.otel_logs) — there is no Loki datasource for them. For the schema
and the full procedure: panda read runbooks://debug_ethereum_network. (Local Kurtosis
devnet logs are the separate autodiscovered local-kurtosis datasource.)
Public-devnet xatu event data also lives on clickhouse-raw: each public devnet has its
own database named after the network — backtick-quote it, e.g.
FROM `blob-devnet-0`.beacon_api_eth_v1_events_block.
Notes
- Prefer the CLI (
panda binary); 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/ and
storage.upload() it to return it to the user.