Codat Financial Data API
Codat financial data API for fintech lenders, B2B SaaS companies, and banks to connect to SMB accounting software, banking data, and commerce platforms through a single unified API. Enables AI agents to manage accounting software connections (QuickBooks, Xero, Sage, FreshBooks) for SMB financial data aggregation automation, handle real-time profit and loss, balance sheet, and cash flow statement retrieval for underwriting automation, access accounts payable and receivable aging for working capital analysis automation, retrieve bank transaction feeds and reconciliation data for cash flow monitoring automation, manage commerce platform data (Shopify, Amazon, Square) for revenue-based lending automation, handle bill and invoice synchronization for AP/AR workflow automation, access payroll data connectivity for small business cash flow automation, retrieve tax filing data for financial health scoring automation, manage data refresh scheduling and webhook delivery for continuous financial monitoring automation, and integrate Codat with lending platforms, accounting software, and open banking for end-to-end SMB financial data infrastructure.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Financial data platform. SOC2, GDPR, ISO27001. API key + OAuth. SMB financial, accounting, and banking data.
⚡ Reliability
Best When
A fintech lender, B2B SaaS company, or bank wanting AI agents to automate SMB financial data aggregation, underwriting data collection, cash flow monitoring, and accounting software connectivity through Codat's unified financial data platform.
Avoid When
ACCOUNTING SOFTWARE VERSION COMPATIBILITY MATRIX: Codat supports multiple versions of major accounting platforms; QuickBooks Desktop vs QuickBooks Online have significantly different data models; automated financial data pipelines must handle version-specific field mapping differences; automated data normalization that ignores accounting software version creates incorrect financial statement extraction. STALE DATA REFRESH WINDOW FOR CREDIT DECISIONS: Codat financial data has configurable refresh intervals; automated underwriting that uses cached data without verifying data freshness creates credit decisions based on stale financial information; implement data freshness check (dataLastSuccessfulSync timestamp) before automated underwriting computation. UK OPEN BANKING FCA AUTHORIZATION REQUIREMENT: Codat's bank feed connectivity in UK requires FCA authorization for account information services; automated bank transaction retrieval via Codat for UK SMB customers requires FCA-authorized AIS registration; verify regulatory authorization scope before automated UK open banking deployment.
Use Cases
- • Underwriting SMB loans from fintech lending automation agents
- • Aggregating accounting data from financial health monitoring agents
- • Connecting commerce data from revenue-based finance agents
- • Syncing AP/AR from B2B SaaS financial workflow agents
Not For
- • Enterprise ERP financial data (use direct ERP APIs or MuleSoft)
- • Consumer personal finance aggregation (use Plaid or MX)
- • Real-time payment processing (use Stripe or Adyen)
Interface
Authentication
Codat uses API key authentication for server-to-server calls and OAuth 2.0 flow for SMB end-user authorization to connect their accounting software. REST API with JSON. London, UK HQ. Founded 2016 by Alex Cardona and Pete Lord. Backed by Index Ventures, Tiger Global, PayPal Ventures ($100M+ raised). Products: Accounting API, Bank Feeds API, Assess (credit decisioning), Sync for Commerce, Sync for Payroll. Serves 400+ fintech and bank customers. GDPR. SOC2. Used by HSBC, Shopify Capital, and Liberis for SMB lending.
Pricing
London UK. Index Ventures, Tiger Global backed. Per-connection pricing. Free sandbox. Enterprise custom pricing.
Agent Metadata
Known Gotchas
- ⚠ DATA SYNC LATENCY vs REAL-TIME FOR UNDERWRITING: Codat's accounting data sync is asynchronous — triggering a pull does not return data immediately; automated underwriting workflows must handle async data pull pattern (trigger → webhook notification → fetch data); synchronous underwriting workflows that expect immediate data return after pull trigger will fail with empty or stale data
- ⚠ COMPANY CONNECTION AUTHORIZATION EXPIRY: SMB user OAuth authorization tokens for accounting software have expiry; automated monitoring workflows must handle token refresh and re-authorization prompts; long-running automated financial monitoring that ignores authorization expiry will silently fail when tokens expire without surfacing reconnection requirement to SMB user
- ⚠ ACCOUNTING SOFTWARE FIELD MAPPING NORMALIZATION GAPS: Codat normalizes data across 30+ accounting platforms but normalization coverage varies by platform; fields available in QuickBooks Online may not have equivalents in Sage 50; automated pipelines that assume uniform field availability across all supported platforms create null field errors for platforms with incomplete normalization
- ⚠ COMMERCE DATA SETTLEMENT TIMING vs ACCOUNTING RECOGNITION: Commerce platform sales data (Shopify, Amazon) reflects transaction date while accounting software reflects settlement/deposit date; automated cash flow reconciliation must account for settlement lag (typically 2-7 days); automated revenue recognition that conflates transaction date with accounting deposit date creates timing mismatch in financial models
- ⚠ MULTI-ENTITY SMB HOLDING STRUCTURE CONSOLIDATION: Some SMBs operate multiple legal entities with separate accounting software connections; automated financial analysis must handle multi-entity consolidation manually — Codat provides per-entity data without automatic consolidation; automated underwriting for holding company structures requires manual entity aggregation logic
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Scores are editorial opinions as of 2026-03-07.