Payment Reconciliation API: Developer Architecture Guide
Building programmatic reconciliation pipelines with RESTful APIs, deterministic matching rules, and cryptographic proof endpoints.
API Resource Models and Double-Entry Ingestion
Developers submit transaction payloads containing unique external references, debit/credit account mappings, currency codes, and ISO timestamps. The API enforces strict validation rules, rejecting unbalanced journal entries at the gateway layer.
Webhook Events and Asynchronous Exception Handling
Reconciliation matching runs asynchronously. When discrepancies or unmatched transactions are identified, the API emits signed webhook events (reconciliation.matched, reconciliation.exception_raised). Engineering teams subscribe to these events to trigger automated investigation workflows.
Programmatic Proof Generation with the NAYA Proof Engine
Through the /v1/proofs endpoint, developers retrieve cryptographically signed attestation artifacts that verify internal balances match settled bank holdings. These artifacts can be shared directly with partner banks, auditors, and regulatory bodies.
Frequently Asked Questions
Common questions about this topic
QWhat is a payment reconciliation API?
A payment reconciliation API is a programmatic interface that automates matching between internal transaction records and external payment processor settlement data. It ingests transaction data from PSPs (Stripe, Adyen, PayPal), normalizes it into a canonical format, runs deterministic and probabilistic matching rules, and returns match results with confidence scores. Unlike manual spreadsheet reconciliation, an API-based approach handles real-time ingestion, idempotent matching, and exception routing automatically.
QHow do you build a reconciliation API?
Building a reconciliation API requires: (1) a data ingestion layer that normalizes PSP settlement files into a common schema; (2) a matching engine with deterministic rules (exact ID match, exact amount) and probabilistic fallback (amount tolerance, date window); (3) an exception handling system that classifies unmatched records by type (timing, FX, missing reference); (4) an audit trail that records every match decision with timestamps and rule IDs; (5) idempotent ingestion to prevent duplicate matches on re-run. Most teams underestimate the complexity — NAYA provides this as managed infrastructure.
QWhat is the difference between a reconciliation API and a ledger API?
A ledger API records financial events as double-entry journal entries — debits and credits in a structured account hierarchy. A reconciliation API matches records across data sources to verify consistency. The ledger tells you what happened in your system. The reconciliation engine tells you whether what happened in your system matches what happened in external systems (PSPs, banks, ERPs). Both are required for complete financial operations infrastructure.
QShould I build or buy reconciliation infrastructure?
Build if: you have a single PSP, under 1,000 transactions/day, and a dedicated engineering team with 6+ months of capacity. Buy if: you run multiple PSPs, process multi-currency transactions, need an audit trail for compliance, or your reconciliation already consumes more than 2 FTE-hours per day. Most fintech teams start building, underestimate the complexity (especially multi-PSP normalization and FX tolerance matching), and switch to purpose-built infrastructure within 12 months.
QWhat PSP settlement formats does a reconciliation API need to support?
A reconciliation API must support: Stripe Balance Transaction Reports (CSV/API), Adyen Settlement Details Reports (SFTP/API), PayPal Transaction Detail Reports, Checkout.com Reconciliation Reports, Braintree Settlement Batch Reports, and Square Payouts API responses. Each format uses different field names, ID schemas, and settlement cadences. The API's normalization layer maps all formats into a canonical transaction model before matching.
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