Provide a table UUID and analysis question, or select an enrichment and supply its inputs. AI can organize the data and explain the completed results.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Read columns and rows to compare values and summarize the patterns relevant to your question.
/oo Databar.ai: Read Databar table [table UUID] columns and rows. Analyze [question], show the relevant columns and calculations, and summarize the strongest patterns.
Inspect an enrichment’s inputs, submit the task, and retrieve its result when complete.
/oo Databar.ai: Inspect Databar enrichment [enrichment ID], use inputs [input values] to run it, and report the task ID. Check its status and, when complete, summarize the result for [purpose].
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect with a Databar API key.
Connect Databar.ai →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
Databar workspace tables hold structured rows and columns. Enrichment and waterfall tasks add data through selected services, with task IDs used to follow their progress.
List tables, read columns and rows, create tables, and insert up to 50 rows per request.
Discover enrichments and their inputs, submit enrichment or waterfall tasks, and read task status and results.
Get the current Databar account information for the API key.
Leina 
Wanta 
databar_ai.get_user_info List Databar tables in the current workspace.
databar_ai.list_tables Create a Databar table with optional columns and empty rows.
databar_ai.create_table List columns for a Databar table.
databar_ai.get_table_columns Get Databar table rows with pagination and optional column filters.
databar_ai.get_table_rows Insert up to 50 rows into a Databar table using human-readable column names.
databar_ai.insert_rows List Databar enrichments with optional search and pagination.
databar_ai.list_enrichments Get detailed Databar enrichment metadata by ID.
databar_ai.get_enrichment Submit a Databar enrichment task and return the task ID for later status polling.
databar_ai.run_enrichment Get the status and result data for a Databar enrichment or waterfall task.
databar_ai.get_task_status Submit a Databar waterfall task and return the task ID for later status polling.
databar_ai.run_waterfall No matching tools.
Choose an enrichment and inspect its detailed metadata before supplying the parameter values.
Submission returns a task ID. Use that ID to check status and retrieve the result after completion.
Yes. Read the column definitions together with rows so the analysis uses the table’s structure.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.