ChinaScope Reference
The company, security & industry master — base_company, base_stock and the industry classification trees. The free anchor every dataset resolves to.
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ChinaScope Reference
referenceSource DataThe company, security & industry master — base_company, base_stock and the industry classification trees. The free anchor every dataset resolves to.
Daily source stitch · data frontier 2026-08-03
10. Field reference — every column
The full field dictionary — every table, every column, with its type and meaning. One real sample row is shown per table.
base_company
Table · pick one of 3
base_company
8 columns · grain (primary key): company_id
| Column | Name | Type | Null | Description |
|---|---|---|---|---|
company_id ·PK | Company ID | string | no | The ChinaScope company identifier — the canonical key every company-keyed dataset in the estate resolves to. Resolve a company here once and its segment revenue, supply-chain links, ownership, news tags, tender awards and filings all join on this one key. |
credit_code | Unified Social Credit Code | string | yes | The 18-character Unified Social Credit Code from China's national business registry, matched to this company — the bridge to external registry and regulatory data. Present for ~77% of companies. |
company | Company name (CN) | string | yes | The company's registered Chinese name in its authoritative form — the resolved name that other datasets' as-disclosed, free-text counterparty spellings are reconciled to. |
company_en | Company name (EN) | string | yes | The company's English name, where available (~74%). |
is_bond_issuer | Is bond issuer | string | yes | Marks whether the company has issued bonds (1) or not (0). |
is_listing | Is listed | string | yes | Marks whether the company has a listed security (1) or not (0). The master includes unlisted entities because they appear as counterparties and related parties in other datasets. |
ref_company_id | Canonical company reference | string | yes | The canonical company this record resolves to. Normally it equals company_id — a company is its own canonical entity. When ChinaScope finds that two records are really the same company (a duplicate, or a later-merged entity), rather than delete one it points the superseded record's ref_company_id at the surviving company, so you can always collapse to a single entity without the old record disappearing. Join on ref_company_id for the surviving entity; on company_id for the record as filed. |
source_publish_date | Public-record date | date | no | The date this record's current state became public — its effective date on the world's timeline. |
Sample row:
company_id: CSF0000000001
credit_code: 911101081020066652
company: 北京欧泰克能源环保工程技术股份有限公司
company_en: Beijing Otc Energy & Environmental Engineering Technology Co., Ltd.
is_bond_issuer: 0
is_listing: 1
ref_company_id: CSF0000000001
source_publish_date: 2023-08-02
Sourced as-delivered from ChinaScope, with resolved codes and structural links computed by Numinor. Licensing passes through to you; fields are served exactly as the vendor issues them.
Access & FAQ
- How do I buy just a few fields?
- Check the fields you want and you'll see your running subtotal. Select every field and the whole-set price applies automatically. Add them to your basket and check out — this dataset, or fields combined across several.
- Can I evaluate these fields in the Matrix before I buy?
- Yes — load the actual source tables in the Matrix and analyze them with an AI agent (point-in-time lagged) to check the fields fit your use case before you buy. Once your selection is activated, export the fields you choose via the API.
- How is it delivered?
- Apache Parquet over a signed-URL REST API, the same pipe as Construct Data. The free Matrix sandbox serves a time-delayed view for evaluation.
- When is each update available, and how reliable is it?
- Source data refreshes on the ChinaScope cadence and is delivered through the same signed-URL pipeline as Construct Data, with the same manifest/status behaviour. Evaluate freshness yourself in the Matrix before you commit.
- Why are some fields free and others cost thousands?
- Price tracks non-replicability. Resolved codes and structural links are the moat; machine scores and raw text are cheap; identifier keys are free. Figures are priced per table; codes are charged once per dataset.
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