Curated Singapore legal and regulatory datasets, designed for AI agents.
Zeeker collects, structures, and serves primary-source Singapore legal data so that LLM-based legal research workflows are citation-ready, scope-bounded, and safe to feed back into an agent loop.
Our datasets include:
- Court judgments — Singapore High Court, Court of Appeal, and State Courts decisions
- PDPC enforcement decisions — Personal Data Protection Commission enforcement actions and voluntary undertakings
- Government newsroom releases — Regulatory announcements and policy updates from Singapore ministries and agencies
- Legal commentaries — Summaries and analysis from Singapore legal publications
Connect to https://mcp.zeeker.sg/mcp using the Model Context Protocol. The server exposes read-only tools for search, table query, and document retrieval against data.zeeker.sg.
Browse and query the data interactively at https://data.zeeker.sg. The Datasette interface supports full-text search, faceted filtering, and JSON API export.
→ Datasette deployment repository
Build, update, and deploy Zeeker databases locally with the zeeker CLI.
| Repository | Purpose |
|---|---|
mcp |
MCP server connector — exposes datasets to Claude and other MCP clients |
datasette |
Branded Datasette deployment — the web UI and API at data.zeeker.sg |
cli |
Core CLI for building and deploying Zeeker database projects |
judgements |
Court judgment data pipeline |
pdpc |
PDPC enforcement decision data pipeline |
sg-gov-newsrooms |
Singapore government newsroom release data pipeline |
sglawwatch |
Legal commentary data pipeline |
Data is sourced from public Singapore government and judicial sources. Individual repositories document their respective data licenses and attribution requirements.
Issues and pull requests are welcome. We especially appreciate bug reports, data quality issues, and documentation improvements.
Zeeker is an independent project. It is not affiliated with the Singapore government or any of the data sources it indexes.