# Triqai

> Transaction enrichment API that converts raw bank transaction strings into structured merchant data.

## Company

Triqai is a fintech infrastructure company founded in 2025 that provides transaction enrichment as a service. The platform is GDPR-compliant and processes data on edge infrastructure globally. Triqai is headquartered in the Netherlands.

## What Triqai Does

Triqai takes raw, unreadable bank transaction descriptions (e.g. "AH TO GO 4567 AMSTERDAM") and returns structured data including:

- **Merchant identification**: Standardized merchant names, logos, brand colors, and website URLs from a database of 95M+ companies
- **Transaction categorization**: Classification into 121 categories (69 expense, 38 income, plus sub-categories up to 3 levels deep) with 95%+ accuracy
- **Location enrichment**: Store-level geographic data (city, region, country, coordinates, timezone) across 150+ countries and 10M+ places
- **Payment processor detection**: Identification of 4,000+ payment processors and intermediaries
- **Confidence scoring**: Every enrichment includes a confidence score so consumers can make informed decisions about data quality

## Key Differentiators

- Real-time processing via REST API and official Node.js SDK (npm install triqai) with deterministic JSON output
- No massive training datasets required - uses intelligent reasoning over digital footprints
- 143,000+ merchant logos available
- Supports both single and batch transaction enrichment
- MCC, SIC, and NAICS code mapping

## Integrations

Available through:
- Official Node.js SDK: npm install triqai (built in TypeScript with full type definitions)
- Direct REST API

## Pricing

- Free: 100 enrichments/month
- Starter: From EUR 21/month
- Growth: From EUR 99/month
- Business: From EUR 329/month
- Enterprise: Custom pricing with dedicated support

## Use Cases

- Personal finance apps
- Accounting and expense management
- Banking and open banking platforms
- Fraud detection and risk systems
- Spend analytics dashboards
- Fintech applications
- Payment processing
- Business intelligence

## Links

- Website: https://www.triqai.com
- Documentation: https://docs.triqai.com
- API Reference: https://docs.triqai.com/api-reference
- Pricing: https://www.triqai.com/pricing
- Blog: https://www.triqai.com/blog
- Playground: https://www.triqai.com/playground
- Contact: https://www.triqai.com/contact
- Status: https://status.triqai.com

## Products

- Object Enrichment: https://www.triqai.com/product/object-enrichment
- Transaction Categorization: https://www.triqai.com/product/categorization
- Location Enrichment: https://www.triqai.com/product/location-enrichment

## Blog Articles

- [Transaction Enrichment API: The Complete Guide for Fintech Developers](https://www.triqai.com/article/complete-guide-to-transaction-enrichment-for-fintech-apps): Everything fintech developers need to know about transaction enrichment APIs. Learn how they work, what they return, and how to choose the right provider for your product.
- [How to Evaluate Transaction Enrichment API Accuracy: A Practical Benchmarking Guide for Fintech Teams](https://www.triqai.com/article/how-to-evaluate-transaction-enrichment-api-accuracy): A practical framework for evaluating and benchmarking transaction enrichment API providers on accuracy. Covers merchant recognition rates, categorization accuracy metrics, long-tail coverage, provider comparison methodology, and what accuracy benchmarks actually mean for your fintech product.
- [How to Enrich Raw Transaction Data with Clean Merchant Names](https://www.triqai.com/article/enrich-raw-transaction-data-with-clean-merchant-names): Raw bank transaction data is messy. Learn how AI-powered enrichment with web context turns descriptors into clean merchant names, even for the long tail.
- [Transaction Enrichment for Banks: How Financial Institutions Turn Raw Payment Data Into Clean Customer Intelligence](https://www.triqai.com/article/transaction-enrichment-for-banks): How banks and financial institutions use transaction enrichment to transform cryptic payment strings into clean merchant names, categories, and locations. Covers chargeback reduction, digital banking UX, lending, PSD3 readiness, and why accuracy matters more than speed.
- [Automated Transaction Categorization: Best Practices for Accurate Classification at Scale](https://www.triqai.com/article/automated-transaction-categorization-best-practices): How to implement accurate automated transaction categorization in fintech products. Covers taxonomy design, accuracy measurement, confidence thresholds, edge case handling, and why enrichment-first approaches outperform standalone categorization.
- [What Is Transaction Data Enrichment? How It Works and Why Fintechs Need It](https://www.triqai.com/article/what-is-transaction-data-enrichment): Transaction data enrichment transforms raw banking strings into structured merchant names, categories, logos, and locations. Learn how enrichment works, why raw bank data fails, and how fintechs use enrichment APIs to power better financial products.
- [Build vs. Buy: Should You Build Your Own Transaction Enrichment or Use an API?](https://www.triqai.com/article/build-vs-buy-transaction-enrichment-api): A practical framework for fintech engineering teams deciding whether to build transaction enrichment in-house or integrate a transaction enrichment API. Covers true costs, technical requirements, accuracy benchmarks, and a decision matrix.
- [How to Integrate a Transaction Enrichment API: Step-by-Step Developer Guide](https://www.triqai.com/article/how-to-integrate-a-transaction-enrichment-api): A practical step-by-step guide to integrating a transaction enrichment API into your fintech product. Covers architecture, testing, scaling, and production best practices.
- [Transaction Categorization API: Why Automated Classification Fails and How Enrichment Fixes It](https://www.triqai.com/article/why-transaction-categorization-is-hard): Why automated transaction categorization is harder than it looks. Explore MCC code limitations, ambiguous bank data, and how modern enrichment APIs solve the categorization problem.
- [Wallet Transaction Enrichment: Why Apple Pay and Google Pay Data Is Harder to Enrich](https://www.triqai.com/article/why-wallet-transactions-are-harder-to-enrich): Digital wallets like Apple Pay and Google Pay obscure merchant data by design. Learn why wallet transaction enrichment is harder and how context-aware APIs solve it.
- [AI Transaction Enrichment: How Intelligent APIs Achieve Global Accuracy Without Massive Datasets](https://www.triqai.com/article/from-rules-to-reasoning-the-evolution-of-transaction-enrichment): How AI-powered transaction enrichment APIs achieve global accuracy without relying on massive merchant databases. Learn why intelligent reasoning outperforms static datasets for fintech products.

## Comparisons

- [Triqai vs Plaid Enrich](https://www.triqai.com/compare/plaid-enrich): Both platforms enrich raw bank transactions. Plaid leverages its network-trained ML model; Triqai uses real-time AI plus live web data for broader global coverage and richer data fields.
- [Triqai vs Ntropy](https://www.triqai.com/compare/ntropy): Both Triqai and Ntropy use AI for transaction enrichment. The key differences lie in data sourcing, transparency, and the depth of data returned per transaction.
- [Triqai vs Tapix](https://www.triqai.com/compare/tapix): Tapix uses a curated merchant database for fast lookups. Triqai uses AI and live web data for deeper enrichment. Here's how the two approaches compare.