AI's impact on real-world sectors, as a structured record for agents: source-linked headlines placed in one of 18 sectors (healthcare, law, retail, government, defense and more), with outlet, country and time, since June 2026
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This guide connects EverythingMeetsAI MCP to OpenClaw through MewCP, so OpenClaw can use EverythingMeetsAI MCP's 7 tools, like search_stories, get_story and changes_since.
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Search EverythingMeetsAI's record of AI's impact on real-world sectors: source-linked headlines placed in one of 18 sectors, with outlet, country, development type and time, since 24 June 2026. Filter by sector, country, outlet, development type, headline keyword and date. Returns headline, publisher link, outlet, sector and times; never article text. An empty result means no headline matched, not that nothing happened.
One published story by id (from search_stories or changes_since), with every outlet that covers it and which links are paywalled.
Stories we published after a timestamp, oldest first, for polling. Use next_since from the result as the next call's since. Corrections and removals are not conveyed.
The sectors stories are placed in, with slug, name, what each covers, story counts (all time and last 30 days) and the span of publication dates.
Outlets that cover at least one published story, with slug, name, homepage and story count; optionally within one sector. Use the slug in search_stories' outlet filter.
The development-type vocabulary with how many stories carry each. A type with 0 has never been assigned; treat development_type as a hint, most stories have none.
What this record is and is not, its coverage and caveats, fair-use limits, how to get a free key, and how to attribute.
