Analyze a company against its industry peers using intelligent 11-step cascade search.

The Problem

Private companies don't publish financial statements like public ones do. Even with access to a large database, finding enough comparable companies for meaningful statistical analysis is challenging. A company's ideal peer group would share the same CNAE code (industry classification), geographic location, and revenue range — but this combination often yields too few matches for reliable benchmarks.

Our Solution

This API implements an intelligent 11-step cascade algorithm that automatically relaxes search criteria until it finds a statistically valid peer group (minimum sample size configurable, default 5). The cascade progressively trades off similarity for sample size:

Steps 1-4: Geographic relaxation

1. Exact CNAE + City + State + Revenue range (±30%)
2. Remove city filter
3. Expand revenue range (×1.5)
4. Expand revenue range again (×1.5)

Steps 5-6: Revenue relaxation
5. Remove state filter
6. Remove revenue filter entirely

Steps 7-11: Industry relaxation
7-11. Progressively broaden CNAE code (remove trailing digits to climb the classification hierarchy)

The API returns the parameters actually used in the params field, so you know exactly what trade-offs were made to achieve statistical validity.

Output

Returns median statistics across 27+ financial indicators with up to 10 years of history, estimated market size based on CNAE, and sample peer companies included in the analysis.

Authentication

Use HTTP Basic Auth (email + API key) or pass credentials in the request body.