Enterprise Unified Social Credit Code Quick Query

Problem

In business-ops workflows, the input is often an enterprise name, but the required output is a unified social credit code. Manual lookup, transcription errors, and fuzzy names that map to multiple entities can slow down investment verification, preliminary due diligence, and batch code cleanup. This skill turns that lookup into a name-based query flow.

How It Works

It takes enterprise_name and runs two internal steps: search_ent_simple.py retrieves candidate entities with enterprise_id and full_name, then ent_uniform_code.py fetches the unified social credit code. If exactly one entity is found, it proceeds automatically; if multiple candidates match, it presents them for selection to avoid mixing up similar companies. Successful results include the enterprise full name, enterprise ID, and unified social credit code; failures return explicit errors such as no matching enterprise or unavailable credit code.

Boundaries

It is best suited to single-entity or small-batch verification and assumes a working Python script environment with parseable JSON output. Internal-data permission checks, batch tables, or short-term caching are extensions for the caller. A fuzzy multi-match cannot be finalized until a candidate is selected.