VynCo Blog

The Cost of Honest Data: Null Handling in Financial APIs

Why our benchmark endpoint returns null instead of "0th percentile" when the peer cohort lacks data — and why we think most financial APIs get this wrong.

How We Built AI-Powered Corporate Dossiers with Claude

A look under the hood at the dossier generation pipeline — prompt design, grounding strategy, failure modes, and the four-tier cost model that keeps a $0.20 dossier actually cost $0.20.

Exporting 50,000 Rows of Swiss Corporate Data for ML Training

The bulk export endpoint produces NDJSON or CSV from filtered subsets of the Swiss register, polled asynchronously so you're not holding a 10-minute HTTP connection open.

Export filtered Swiss company data to CSV, JSON, or NDJSON for pandas, polars, and DuckDB workflows.

The new /diff endpoint returns a structured field-by-field changelog for any Swiss company since a given date.

We classified all 786,000+ Swiss companies by their auditor. Here is what the data shows.

Use the VynCo AI risk model to score dissolution probability across 780K Swiss companies with 10 interpretable signals.

Discover board overlaps, subsidiary trees, and ownership chains using the VynCo Python SDK graph and hierarchy APIs.

Serving a Real-Time Swiss Company Change Feed with Webhooks

Stop polling. Build a push-based monitoring pipeline where every capital change, board turnover, and sanctions hit on a watchlist arrives at your app in seconds.

Build a PEP & UBO Screening Pipeline in 20 Lines of Python

Politically Exposed Person checks and Ultimate Beneficial Owner resolution are a regulatory requirement in most jurisdictions. With the VynCo SDK, both fit in a single readable Python function.