akyla-financial-data

Give your AI cited financial data.

От сообществаРаботаетНужен API-ключГлобальныйБесплатноТолько чтение

Что умеет

  • Get Quote: Latest price snapshot and 52-week range for a US-listed stock.
  • Get Fundamentals: Headline fundamentals for a US stock in one call: revenue, EBITDA, margins, EV/EBITDA, net debt and free cash flow, plus a live quote. Best first stop for "how is <company> doing / w
  • Get Key Metrics: Full key-metrics table for a US stock across reporting periods (valuation, profitability, leverage, growth). Use when the user wants the detailed metric history rather than the single

Какие данные видит

Нужен ли аккаунт

Нужен API-ключ из настроек сервиса

Give your AI cited financial data. This is a Model Context Protocol server for the Akyla Financial Data API: as-reported US-equity fundamentals sourced straight from SEC inline-XBRL filings, plus live quotes, full financial statements, valuation comps, and a screener over ~5k US stocks.

Список инструментов сервера (7)

Технические названия из tools/list. Нужны только разработчикам.

get_quoteLatest price snapshot and 52-week range for a US-listed stock.
get_fundamentalsHeadline fundamentals for a US stock in one call: revenue, EBITDA, margins, EV/EBITDA, net debt and free cash flow, plus a live quote. Best first stop for "how is <company> doing / what are its fundamentals / is it cheap" questions.
get_key_metricsFull key-metrics table for a US stock across reporting periods (valuation, profitability, leverage, growth). Use when the user wants the detailed metric history rather than the single-call snapshot from get_fundamentals.
get_statementAs-reported financial statement for a US stock, assembled straight from SEC inline-XBRL. With provenance on (default), every value carries its source — the SEC accession number and inline-XBRL fact id — so you can CITE each number to the primary filing. Use this when the user needs auditable figures.
get_notesFootnote disclosures (notes) from a US company's dimensional XBRL filings.
get_compsComparable companies for a US stock: the subject company plus peers with valuation multiples, for relative-valuation questions ("how does <company> compare to peers").
screen_equitiesScreen ~5-8k US equities by valuation, size, growth and quality. Numeric filters use the form `<field>_<op>` where op is one of gt, gte, lt, lte. Values are in each field's native unit: - Money fields (marketCap, enterpriseValue, revenue, ebitda, netDebt, netIncome) are RAW USD — $10B is 10000000000, not 10000. - Ratios (pe, ps, evEbitda, evRevenue) are plain numbers. - Margins & growth (ebitdaMargin, fcfMargin, revenueGrowth, netIncomeGrowth) are decimals — 0.25 means 25%. Example — large, cheap companies: filters={"marketCap_gte": 10000000000, "pe_lte": 15} Common fields: marketCap, enterpriseValue, pe, ps, evEbitda, evRevenue, revenue, ebitda, ebitdaMargin, fcfMargin, revenueGrowth, netIncome, netDebt, price, volume.