Documentation Index
Fetch the complete documentation index at: https://docs.sixtyfour.ai/llms.txt
Use this file to discover all available pages before exploring further.
Use Case
Run batch data enrichment and automated processing pipelines. Workflows are ideal for processing many records through multi-step pipelines (e.g., validate emails, enrich companies, export to CSV) without manual intervention.Core Concepts
The Workflows API models pipelines as directed acyclic graphs (DAGs):| Term | Description |
|---|---|
| Workflow | A reusable pipeline definition containing blocks and edges |
| Block | A processing step (e.g., webhook input, enrichment, filtering, export) |
| Edge | A connection between blocks that defines data flow |
| Run | An execution instance of a workflow |
| Job ID | A unique identifier for tracking a workflow run |
Execution Flow
- List workflows — Get available workflows in your organization
- Run workflow — Execute with input data; receive a
job_id - Poll live status — Monitor progress until
completed,failed, orcancelled - Download results — Get signed URLs for result files (CSV)
Workflows starting with a
read_csv block cannot be triggered via API. Use workflows that start with a webhook block for API-triggered runs — see Incoming Webhooks.