DatriseAI-first ETL

Wise Agent CSV Files

AI-first ETL from Wise Agent into CSV Files. Governed entities, incremental sync, typed landing tables.

How Datrise loads Wise Agent into CSV Files

Datrise syncs Wise Agent's contacts, accounts, deals, activities, and lifecycle events into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.

Ideal for portable hand-off into any tool that ingests delimited files.

Endpoints

Wise Agent: Real estate CRM for leads, listings, and agent follow-up.

CSV Files: Flat-file destination for exports and lightweight data sharing.

How Wise Agent entities map to CSV Files

Wise Agent entityCSV Files objectNotes
contactswise_agent_contactsid PK · custom fields → JSON-encoded strings for nested fields
accountswise_agent_accountsid PK · linked to wise_agent_contacts
dealswise_agent_dealsid PK · linked to wise_agent_contacts
activitieswise_agent_activitiesISO-8601 timestamp columns events

FAQ

How does Datrise handle Wise Agent's custom fields in CSV Files?

Flexible values are stored as JSON-encoded strings for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native CSV Files types.

How does the Wise Agent to CSV Files sync stay up to date?

It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.

Related pipelines

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