Daily news tone for every FTSE 100 company, with stories and reasons. Free, read-only. Not advice.
Scored across 6 tools
Each tool targets a distinct slice of the data: company dashboard, company-by-day headlines, index-wide day view, single story, weekly note, and global search. The only mild overlap is between get_company (which includes day-by-day history) and get_company_day, but the descriptions make the aggregate-vs-raw-headlines distinction clear enough.
All names follow a predictable verb_noun pattern with get_* for direct retrieval and search_* for querying, which is semantically coherent. The one deviation (search_news vs all get_* tools) is justified by function rather than inconsistent.
Six tools is well-scoped for a news-tone analytics server; each covers a distinct level of granularity (company, day, index, story, weekly, search) with no obvious redundancy. Nothing feels padded or missing at the count level.
The surface covers the full hierarchy from index view down to individual headlines, plus search and a weekly digest, leaving few dead ends. Minor gaps exist: no multi-company comparison or arbitrary date-range query beyond a single day, but agents can work around these by composing calls.
A FTSE 100 company's news dashboard: latest day's tone and why, 30-day average, last 7 days vs the week before, a written overview of the last month, the stories that moved the tone, and day-by-day history.
Inputs: company (required).
Every scored headline about a company on one day, each with its tone, outlet, link, the reason for its score and the story it belongs to.
Inputs: day (required), company (required).
How the news treated the FTSE 100 on the latest day (or a given day): overall mood, the biggest stories and every company's tone score (−10 clearly bad news for the company … +10 clearly good).
Inputs: day.
One news story (an event covered across outlets and days): summary, tone, timeline and every headline.
Inputs: slug (required).
The Monday weekly note on FTSE 100 news tone: which companies had the best and worst coverage and why.
Inputs: end_day.
Search every FTSE 100 story or headline MarketFrame has scored.
Inputs: to, from, page, sort, +4 more.
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