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Lerian Consignado — Dataprev runs against the operational realities of payroll lending: auctions that close on a clock, settlement that arrives late and without a terminal signal, credentials that rotate per institution, and a rail that tolerates only so many reads per second. It manages each under full per-tenant isolation.

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Auction window

Each worker loan request opens a 24-hour auction. The discovery poller scatters only requests it has not seen before, so a request is auctioned once; the win-detection poller then tracks the submitted proposal until it reaches an accepted state.

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Reconciliation grain

Reconciliation runs at two grains:
  • Escrituração — per contract. Each contract’s installment record is captured once per (competência, employer) snapshot.
  • Repasse — per record. Each settlement record has an append-only, immutable identifier and is re-read on every tick across a sliding window of competências.
The rail exposes no deterministic final competência and no per-competência terminal status, so the gateway treats the presence of a settlement record as the settled predicate and keeps re-polling the window to catch late D+2 settlements — terminations, arrears, and corrections that land after the first pass. D+2 is measured from the employer’s payroll payment.

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Credentials and rotation

Credentials rotate per tenant through the control plane. Registering a certificate or OAuth secret upserts or rotates the stored value; the per-tenant Dataprev client is cached and refreshed on rotation, so a rotation takes effect without a redeploy. Secrets are never returned by any read.

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Idempotency and redelivery

Every record and settlement is keyed by its immutable subject, so at-least-once redelivery and restarts dedupe to a no-op downstream. Reprocessing the same record never double-counts a settlement.

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Rate limiting

A shared outbound limiter caps Dataprev reads at 25 requests per second, split across the auction and reconciliation pollers, so neither can starve the other or exceed the rail’s tolerance.