web_search

To find reliable open data sources, search official data portals and registries to identify candidate sources with documentation. You can filter candidate sources by type, such as government, academic, commercial, or open data, to evaluate reliability and maintenance quality.

The best way to search registries for authoritative data is to specify your requirements and filter by source type, such as government or academic. This surfaces 3–5 strong candidate sources with direct URLs, short descriptions, and relevance scores for validation.

Yes, you can filter data source discovery results by source type, reliability, and documentation quality. This filtering mechanism assesses maintenance and documentation to return prioritized JSON data containing the name, URL, description, source_type, and relevance of each candidate.

You validate commercial data APIs before integration by searching registries to assess their documentation quality and reliability. The discovery process returns JSON metadata with the API name, URL, source_type, and relevance, allowing you to quickly evaluate candidate sources.

Limitations when discovering data sources across web registries include relying on the availability and maintenance of official portals. The discovery process returns 3–5 candidate sources with URLs and descriptions, but does not directly extract the underlying datasets or guarantee uninterrupted API access.