Documentation
Aggregates UK regulatory data from Companies House and HMLR into a single normalised JSON response. Designed for AI agents performing due diligence and KYB checks on UK companies.
Choose a working example
Start with a company lookup, enrich a list of company numbers, or build a risk screening workflow. The registry field map explains which source supplies each part of the response.
Quickstart
From signup to your first successful API call in a few minutes — get a key, make a request, read the response.
MCP server
The native integration path for AI agents. Connect an MCP client with a copy-paste config and call the API as tools.
API reference
Every endpoint with its parameters, response schema, error codes and a curl example, plus authentication and response headers.
Error codes
Every error code by HTTP status, the endpoints that return it, what to do next, and whether the request was refunded.
Risk signals
The risk_signals object field by field, and every flag code with its severity, points, required sources and trigger.
Rate limits
Monthly quotas per tier, rate-limit headers, what each outcome costs, control-graph limits and tier access.
Capacity and quotas
Why a request can be refused for two unrelated reasons, and what that means for your retry logic.
Interpreting risk signals
How the score is built, why it is a floor rather than a verdict, and how to treat checks that could not run.