A-Share Announcement Index
An index of A-share disclosure events: one row per filing, carrying the issuer, the date printed on the filing, its title, ChinaScope's six-digit classification of it, and the path to the document on ChinaScope's host. 2 tables — the filing index and the classification dictionary it resolves against. The documents themselves are not delivered. Priced per-table (true-name model).
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Data due diligence
- Point-in-time: yes
- Carries the disclosure date; restatements preserved.
- Personal data: public-names
- Individuals are named, as they appear in public filings or published news.
- Web collection: yes
- Some content is collected from public websites, per each site's robots.txt.
- 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.
A-Share Announcement Index
announcementSource DataAn index of A-share disclosure events: one row per filing, carrying the issuer, the date printed on the filing, its title, ChinaScope's six-digit classification of it, and the path to the document on ChinaScope's host. 2 tables — the filing index and the classification dictionary it resolves against. The documents themselves are not delivered. Priced per-table (true-name model).
Daily source stitch · data frontier 2026-10-29
7. Field reference
announcement
Table · pick one of 2
announcement
Filing events · grain id · as-of publish_date
| field | type | null | 中文 | notes |
|---|---|---|---|---|
id | string | no | 自增主键 | Primary key. Unique in every one of 134 deliveries. Declared bigint by the vendor; it is not one (see §6). |
csf_id | string | no | 公司编码 | ChinaScope company id, CSF/ICN namespaces. 5,942 distinct. Same id space as their C2C and relationship products. |
publish_date | date | no | 公告日期 | The as-of. 100% populated. |
ant_title | string | yes | 公告标题 | Up to 248 chars delivered against a declared 200. |
ant_typ | string | yes | 公告类型 | Six-digit type code → dict_announce_customtyp.code. 992 in use; all resolve. |
ant_source | string | yes | 公告链接 | Link to the document: a path on ChinaScope's host for rows held since May 2026, mostly a public disclosure-site URL for the filings added 2026-10-10. The file is not delivered (see §5). |
ant_source_txt | string | yes | 公告原文 | Empty in every row, by vendor intent. Permanently. See §5. |
mkt_code | string | yes | 交易市场代码 | 8 values. Seven resolve against base_stock in the Reference product; 1003 does not (see §6). |
operation | string | yes | 记录标识 | Vendor change flag on the daily file. |
create_time | datetime | yes | 创建时间 | Vendor collection stamp. ⛔ Not an as-of. It precedes publish_date for 70% of the May history load; for older filings it begins in December 2012. |
update_time | datetime | yes | 更新时间 | Moves when the entry is corrected. ⛔ Not an as-of. |
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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