Select a workflow and run, then ask AI to filter its extracted records for the comparison you need.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Read workflow status and filtered records to explain the selected run’s findings.
/oo Kadoa: Read workflow [ID] and its run [run ID]. Retrieve records matching [filters], include validation anomalies, and summarize [topic] with the execution date.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect a Kadoa Workspace API Key from Settings > General.
Connect Kadoa →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
The connection reads Kadoa workflow configuration and execution status, retrieves bounded record results, and materializes matching records as downloadable exports.
Find workflows, read their status, query extracted records, and export all matches as a file.
List Kadoa workflows with pagination and optional lifecycle, execution, and scheduling filters.
Leina 
Wanta 
kadoa.list_workflows Get the current configuration and execution status of a Kadoa workflow.
kadoa.get_workflow Retrieve a bounded JSON page of extracted records from the latest or a specific Kadoa workflow run.
kadoa.get_workflow_data Materialize all matching Kadoa workflow records and return a temporary signed download URL.
kadoa.export_workflow_data No matching tools.
Data queries use the latest run unless you supply a run ID. Check the execution date before using the records.
Request a workflow export in the desired format. It includes a temporary signed download URL and expiry.
Its operations read existing workflows and data or create an export; they do not start extraction runs.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.