Introducing VynFi: Synthetic Financial Data for Everyone
Today we are launching VynFi, a cloud-native API that generates realistic synthetic financial data at 100K+ rows per second. Here is why we built it and what you can do with it.
For the past two years, our team has been building DataSynth, an open-source Rust engine with 16 crates that generates statistically faithful financial data. Today, we are making that engine accessible to everyone through VynFi: a managed API that wraps DataSynth in a production-grade cloud service.
The Problem
Every financial technology company, audit firm, and university research lab faces the same bottleneck: they need realistic financial data to build, test, and train their systems, but real financial data is sensitive, expensive, and tightly regulated. Teams end up spending weeks hand-crafting spreadsheets that barely pass a statistical smell test.
Auditors training on flat, unrealistic datasets miss the nuances of real-world anomalies. Developers building fraud detection models lack ground-truth labels. Regulators testing new reporting frameworks have no sandbox data to validate against.
Our Solution
VynFi solves this with a single API call. Point to a sector preset, specify how many rows you need, and the engine delivers journal entries, trial balances, P2P cycles, audit workpapers, and more, all with configurable anomaly injection and full Benford's Law compliance.
curl -X POST https://api.vynfi.com/v1/generate/quick \ -H "Authorization: Bearer vf_live_abc123..." \ -H "Content-Type: application/json" \ -d '{ "sector": "banking", "tables": [{ "name": "journal_entries", "rows": 10000 }], "format": "json" }'What Sets VynFi Apart
- Speed: The Rust-native DataSynth engine generates 100,000+ rows per second with sub-second latency for typical requests.
- Statistical fidelity: Every dataset passes Benford's Law validation, maintains realistic account distributions, and preserves inter-table referential integrity.
- Configurable anomalies: Inject fraud scenarios (round-tripping, ghost vendors, revenue inflation) at specified rates with ground-truth labels for model training.
- 9 audit blueprints: Pre-configured engagement templates aligned with KPMG Clara, PwC Aura, Deloitte Omnia, EY GAM, and standard ISA/PCAOB methodologies.
- 42 country packs: Localized chart of accounts, tax rules, naming conventions, and currency formatting for Americas, EMEA, APAC, and MEA regions.
Pricing That Makes Sense
VynFi uses a simple credit-based model. The Free tier gives you 10,000 credits per month, enough to experiment and prototype. Developer ($49/month), Team ($199/month), and Scale ($499/month) tiers scale with your needs. Enterprise customers get custom pricing, private connectivity, and dedicated support.
Sign up today and get 10,000 free credits every month, no credit card required.
What Is Next
We are shipping fast. On our near-term roadmap: XBRL export, OCEL 2.0 process mining logs, real-time streaming generation, and an on-premises deployment option for regulated enterprises. Follow our changelog for weekly updates.
We built VynFi because we believe synthetic data is the missing infrastructure layer for financial technology. We cannot wait to see what you build with it.