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Each row is one collections case (deal) currently open or recently closed for a borrower. It includes the pipeline stage, communications pipeline, promise-to-pay (PTP) signals from both human agents and AI calls, and the do-not-contact flag.

Fields

public_id on this dataset is the case/link identifier, not the deal document’s own id. It is sourced from user_lender_detail_public_id (the borrower-×-lender link). It was named case_public_id while D16 was unavailable; from v1.2 it follows the same convention as every other dataset and is exposed as public_id. See the Changelog.Because the value identifies the borrower-×-lender link rather than the deal row, do not assume it is unique per D16 row if a borrower can have more than one deal. If you need a guaranteed per-row key for upserts, deduplicate on public_id + another distinguishing field (e.g. created_at) or contact support before relying on it as a sole primary key.

Sample row

Date formats differ by field. dpd_due_date and last_due_date are returned exactly as stored — DD/MM/YYYY strings (e.g. 01/06/2026), not ISO-8601. The PTP / broken-PTP fields and the system timestamps created_at / updated_at are ISO-8601. Parse them with separate format handling. See Date & time formats.
Known field-name issue on dpd_due_date. The export currently emits this field under the name dpd_due_date_timestamp, which does not match the source column (dpd_due_date). A service-side fix to correct the emitted key is pending. Until it ships, map the dpd_due_date_timestamp key in the response to dpd_due_date in your warehouse. The value is unaffected (DD/MM/YYYY).

Pagination characteristics

This dataset is direct — filtered to your tenant by lender_id on the collection itself, so each page returns a constant number of rows until the last page.

Use cases

  • Collections pipeline reporting and stage-funnel analysis.
  • PTP / broken-PTP tracking across human and AI channels.
  • DNC suppression upstream of marketing and outreach.

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