红尘
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1.2 KiB
1.2 KiB
1. Summary
What this data source is, who publishes it, why it matters for investigations.
2. Access Methods
- API endpoint(s)
- Bulk download URLs
- Auth requirements (none / API key / OAuth)
- Rate limits
3. Data Schema
Key fields, record types, table relationships. List the columns the fetch script emits.
4. Coverage
- Jurisdiction
- Time range
- Update frequency
- Data volume (rows / GB)
5. Cross-Reference Potential
Which other sources can be joined and on what keys. Be explicit:
<source>↔<column>(join key: <normalized entity name / EIN / CIK / etc.>)
6. Data Quality
Known issues — formatting inconsistencies, missing fields, duplicates, historical gaps, redaction.
7. Acquisition Script
Path: scripts/fetch_<source>.py
Example:
python3 SKILL_DIR/scripts/fetch_<source>.py --<filter> <value> --out data/<source>.csv
Output CSV columns: <col1>, <col2>, ...
8. Legal & Licensing
- Public records law / FOIA basis
- Terms of use / acceptable use
- Attribution requirements (if any)
9. References
- Official docs:
- Data dictionary:
- Related coverage / journalism: