Search extracted news statements, newest first. Use for "what is the news saying about X".

symbol: ticker or entity code, e.g. NVDA; comma-separate several (OR), no spaces inside a code. importance_min=high keeps only key facts. source_type=news leaves out speculative analysis and reddit. since/until: ISO-8601 times on the article's publication time, e.g. 2026-10-01T00:00:00Z. limit: 1-100. Pass next_cursor back as cursor for the next page (null means no more).

The developments most outlets are reporting. Use for "what is moving / what is the big news right now".

kind=live: the last 2 hours; kind=slot: the top stories of each 2-hour slot over the last 7 days. For the whole day rather than the last 2 hours, use find_topics with sort=velocity (last 24 hours). kind=slot lists up to 10 stories per slot over 7 days, so raise limit when you need more than the top of it; each item's trending labels say which slots it was in and at what rank. Each item has its distinct source count, sentiment counts and newest statement. symbol: one code only.

One development in full: its counts, how many of its statements come from news, speculative analysis and reddit (source_mix), and its 20 newest statements, each with its outlet. For older statements call search_statements with topic_id and the returned statements_cursor as cursor.

List developments for a symbol, sector or theme. sort=velocity: most statements in the last 24 hours; size: most statements in the window; recent: latest statement first. symbol: comma-separate several (OR).

The standing subjects the news is grouped into (Energy, Central banks & rates, ...), each with its number of developments and statements, 24-hour volume, distinct sources and sentiment counts. With symbol or sector: only the themes that have statements about it; the counts are still those of the whole theme, so use search_statements with theme_id and symbol for the symbol's own statements. Use the returned id as theme_id in the other tools.

News volume and sentiment over time for exactly one of symbol, sector, theme_id or topic_id.

Each bucket: t (UTC start), count, bullish, bearish, neutral, sources (distinct outlets) and score = (bullish - bearish) / count. Buckets with no statements are omitted here. Unless until is set, the series ends at the current, still incomplete day or hour: do not read a low last bucket as a drop. interval=hour covers at most 14 days and defaults to the last 7; interval=day defaults to the whole window.

Rank symbols (or the 11 GICS sectors) by news attention. Use for "which tickers are suddenly in the news".

period: d = last 24 hours, w = last 7 days, window = everything held. sort=change ranks by the rise in mentions against the previous period (not available for period=window; use sort=mentions there). Each row: mentions, topics, sources (distinct outlets), sentiment counts, score and change. Only for rank=symbols: sector limits the screen to one sector; min_mentions drops rarely mentioned codes; entity_kinds narrows the kind of entity, comma-separated, from: equity, etf, index, rate, fx, crypto, commodity, org, private, country. Without it the list mixes companies with rates, commodities and central banks; pass "equity,etf" for tradable tickers.

The data's window and size, known data incidents (outages, delays), the themes with their ids, and the accepted sector, sentiment, importance, source-type and entity-kind values. Call once; it rarely changes.