search interest index

A query or topic time series normalized to a 0-100 scale within the selected comparison set, released daily or hourly per geography.

Google publishes it through the Trends UI, CSV export and an official BigQuery dataset, with no official public REST API.

In this catalog it appears concretely: - Google Trends — "normalized 0-100 search-interest index; BigQuery dataset holds top 25 overall and top 25 rising queries per geography per day".

A table is only as good as the column you actually need. If this field is absent, sparsely populated or defined inconsistently across rows, no amount of surrounding richness rescues the analysis, so it deserves its own line in your evaluation checklist.

The failure mode is concrete: a source can carry the search interest index label while differing from what you need on exactly the dimension that matters — normalized 0-100 search-interest index; BigQuery dataset holds top 25 overall and top 25 rising queries per geography per day. Comparing two sources on that line usually settles the choice faster than any feature matrix.

You rarely have to take a vendor's word for it. 82.4% of the 1,744 datasets Datadory catalogs are free to access, and Google Trends lets you inspect the real artifact before any budget is committed.

Treat every claim of this attribute as testable:

1. Open Google Trends and confirm its record — "normalized 0-100 search-interest index; BigQuery dataset holds top 25 overall and top 25 rising queries per geography per day" — against the files you actually receive.
2. Pin down update cadence in writing. Across this catalog, 22.6% of 1,744 datasets refresh daily and 64 still arrive only through a manual request form, so ask exactly how fresh each release is.
3. Check whether definitions are verified at all. Field definitions are verified for 1495 of 1,744 datasets (85.7%), and any source you license should meet that bar.
4. Price the delivery route before the license. In this catalog bulk download is the most common access method (725 datasets) ahead of official APIs (574), and 379 sources still require scraping — a maintenance cost that lands on you, not the vendor.

See the term applied to real records: interactive-home-entertainment data, interactive-media-services data.

Adjacent concepts worth reading next: - api rate limits - attribution requirement - core web vitals