Connect your apps. Orchestrate what happens next.

Add individual records to an active Koodisi batch job. Use within a loop or iterator to accumulate records for efficient bulk processing and reduced API call overhead.

Trigger a Koodisi workflow automatically when a batch job reaches a defined state — such as completion or failure. Enables event-driven post-processing and notification pipelines.

Iterate over all records in a Koodisi batch job and process each one sequentially or in parallel. Use as the entry point for batch ETL and bulk data workflows.

Check the current status of a Koodisi batch job — pending, processing, completed, or failed. Use for batch orchestration, monitoring, and conditional branching logic.

Delete a completed or failed batch job and its records from the Koodisi batch store. Use for cleanup workflows to manage storage and maintain batch hygiene.

Initialise a new batch job in Koodisi. Define batch metadata, size limits, and processing parameters before adding records for bulk ETL or data migration workflows.

Mark an individual record within a Koodisi batch job as successfully processed. Enables accurate progress tracking, resumable processing, and idempotent batch workflows.