Bring a tested V2 query, its variables, and a research question. AI can execute the query and explain what the response supports.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Execute your query and use its response data and errors to answer a focused research question.
/oo Bitquery: Run this Bitquery V2 query [query document] with variables [variables]. Explain the result for [research question], state its filters and time range, and report any query errors before drawing conclusions.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect with a Bitquery access token.
Connect Bitquery →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
Bitquery query results depend on the datasets, filters, and aggregations in the supplied document. The connection exposes that query response, including data and errors, for targeted blockchain research.
Run a query document with optional variables and operation selection; read data, errors, and response metadata.
Run a Bitquery V2 GraphQL HTTP query against the canonical streaming endpoint and return the GraphQL response envelope.
Leina 
Wanta 
bitquery.run_query No matching tools.
Yes. Supply the V2 query document and any variables. Select an operation if the document defines several.
Yes. Give the question you want answered and ask it to describe the query’s filters, grouping, and time range alongside the result.
The response includes query errors. Ask the assistant to explain them and separate partial data from a complete result.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.