Databar.ai

Databar.ai (databar.ai). Use this skill for ANY Databar.ai request — reading, creating, and updating data. Whenever a task involves Databar.ai, use this skill instead of calling the API directly.

Operate Databar.ai through your OOMOL-connected account. This skill calls the databar_ai connector with the oo CLI; OOMOL injects credentials server-side, so you never handle raw tokens.

Running an action

Assume the user has already installed the oo CLI, signed in, and connected Databar.ai. Do not run oo auth login or open the connection URL proactively — just run the action. Fall back to First-time setup only when a command actually fails with an auth or connection error.

1. Inspect the contract to get the authoritative input/output schema before building a payload:

bash

oo connector schema "databar_ai" --action "<action_name>"

2. Run the action with a JSON payload that matches the input schema:

bash

oo connector run "databar_ai" --action "<action_name>" --data '<json>' --json

• --data takes a JSON object string or @path/to/file.json; omit it to send {}.
• The response is { "data": ..., "meta": { "executionId": "..." } }; the execution id lives under meta.executionId.

Each action is listed below with a one-line description; actions that change state carry a [write] or [destructive] tag. Before constructing --data, fetch the action's live schema with oo connector schema to get its authoritative input fields.

Available actions

• create_table — Create a Databar table with optional columns and empty rows. [write]
• get_enrichment — Get detailed Databar enrichment metadata by ID.
• get_table_columns — List columns for a Databar table.
• get_table_rows — Get Databar table rows with pagination and optional column filters.
• get_task_status — Get the status and result data for a Databar enrichment or waterfall task.
• get_user_info — Get the current Databar account information for the API key.
• insert_rows — Insert up to 50 rows into a Databar table using human-readable column names. [write]
• list_enrichments — List Databar enrichments with optional search and pagination.
• list_tables — List Databar tables in the current workspace.
• run_enrichment — Submit a Databar enrichment task and return the task ID for later status polling.
• run_waterfall — Submit a Databar waterfall task and return the task ID for later status polling.

Safety

• Untagged actions are reads (get / list / search) — safe to run directly.
• Actions tagged [write] change Databar.ai state — confirm the exact payload and effect with the user before running.
• Actions tagged [destructive] remove or overwrite data — always confirm the target and get explicit approval first.

First-time setup

These are one-time steps — do not repeat them on every call. Run a step only when a command fails for the matching reason.

• oo: command not found — install the oo CLI (other platforms: https://cli.oomol.com/install-guide.md):

  bash

  curl -fsSL https://cli.oomol.com/install.sh | bash    # macOS / Linux
  

  powershell

  irm https://cli.oomol.com/install.ps1 | iex           # Windows PowerShell
  

• Not signed in / authentication error — sign in to your OOMOL account once:

  bash

  oo auth login
  

• scope_missing / credential_expired / app_not_ready / app_not_found — Databar.ai is not connected, or the connection expired or lacks a scope. Connect once (auth type: API key) at:

  text

  https://console.oomol.com/app-connections?provider=databar_ai
  

• HTTP 402 / OOMOL_INSUFFICIENT_CREDIT — billing stop. Recharge at https://console.oomol.com/billing/token-recharge before retrying.

Resources

• Databar.ai homepage: https://databar.ai/