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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Data due diligence
- Point-in-time: yes
- Carries the disclosure date; restatements preserved.
- Personal data: none
- No personal information.
- Web collection: no
- No web collection; sourced from filings or a licensed feed.
- Generative AI: no
- No third-party generative AI is used; processing is proprietary ML/NLP.
The personal-data values are descriptive, not risk grades: no personal information in any dataset is collected from individuals; all of it is drawn from mandatory public company disclosure or already-published news.
Declarations published by ChinaScope. Open the Due diligence tab and sign in to read the full questionnaire.
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 2026-10-28
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 before you buy. See the Overview tab for this dataset’s Matrix evaluation lag; “None” means no intentional delay.
- How is it delivered?
- Apache Parquet over a signed-URL REST API, the same pipe as Construct Data. The free Matrix sandbox serves an evaluation snapshot. Its delay, if any, is shown in the Overview tab.
- 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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Questions This Dataset Comes Up In
Public reference pages answering a question that spans several datasets, this one among them. No account needed.
- Why a join to China A-share company data silently drops rowsEntity resolution in Chinese company data is partial, and the resolved share differs by dataset and by relationship type. An inner join discards exactly the rows that were not resolved, and those rows are not a random sample.
- Which China A-share datasets are point-in-time, and which only look like itA dataset is point-in-time only if it tells you when a figure became public, not just which period it covers. Several widely used China datasets carry the period and not the filing date, which reads as point-in-time and is not.
- One company, many securities: why A-share company counts come out too highCompany facts attach to each listed security, so a company with two listings appears twice. Grouping on the ticker instead of the company key inflates every company-level aggregate.
- Which industry tree should you use for China equities?ChinaScope Reference carries five independent industry schemes in one table. They are separate trees, not levels of one hierarchy, and mixing them in a single grouping is meaningless.