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OnchainQueries

OQ — H00 · Data Hub

Find the table, write the query, watch it execute, turn the result into a chart, and put the chart on a dashboard someone else can read. No local setup, no indexer to run, no warehouse to keep warm.

Programs
37
Tables
1,074
Engine classes
3
Median query
0.6s
OQ — H01The loop

From a question to a published dashboard, without leaving the browser.

Catalog37 programs
pump
  • pump_fun.trade_event event1.94B
  • pump_fun.create_event event31.7M
  • pump_fun.complete_event event4.2M
  • pump_fun.call_buy call1.21B
  • pump_swaps.buy_event event612M
OQ — H02In the editor

No query builder, no drag-and-drop pivot. If you can write the SQL, the fastest path is to write the SQL.

Typed catalog

resolved before execution

Column names come from the program's IDL, and an unknown table fails before a source query is issued rather than halfway through a scan.

Typed parameters

{{start_time}}

Bind values separately from the SQL text. Thirteen types, from varchar and boolean through int256 and parameterised decimals.

Real lifecycle

queued → running → complete

Queue position, selected engine, attempt number and terminal state — the same states the API reports, not a spinner.

Verified results

SHA-256 per part

Row counts, output schema, source coverage and a catalog hash on every completed query.

Charts and dashboards

share or embed

Turn a result into a visualisation and assemble dashboards that stay live against the engine.

Export anywhere

Parquet · Arrow Flight

Take the whole result with you, checksummed, and load it into whatever you already run.

Pro includes every engine class and 50,000 query credits a month.

Start queryingRead the docs