Equity Rank
Model fair value estimates, margin-of-safety differentials and quality scores for 3,000 U.S. stocks.
| Endpoint | https://api.equity-rank.com/mcp (streamable-http) |
|---|---|
| Registry version | 1.0.0 |
| Now | 4 tools · grade A (99) · pin ts_6f5192ceec06ad0571e1803a9f6545b7 · protocol 2025-06-18 |
| First / last listed | 2026-10-27 01:11 UTC / 2026-10-27 01:11 UTC |
| Grade over time | 2026-10-27: A (99), 4 tools |
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Tools: search fetch get_stock_valuation list_sector_stocks
search | Find securities in Equity Rank's coverage universe by ticker or company name. Returns up to 10 matches with the id to pass to `fetch` and the public page URL to cite. Use this first when you only have a company name. params: query* |
fetch | Retrieve Equity Rank's public valuation summary for one security by id (its ticker, as returned by `search`): current price, blended model fair value estimate, margin-of-safety differential, method-agreement counts, Fundamental Strength score, next earnings date, and the last-updated stamp. Returns a readable text summary plus structured metadata and the source URL to cite. All figures are model e params: id* |
get_stock_valuation | Structured public valuation data for one ticker — the same payload as GET https://api.equity-rank.com/api/stocks/{TICKER}/public: price, consensus_fair_value (the blended model estimate), mos_pct (margin-of-safety differential, %), method_agreement_above/below/total, fundamental_strength score and grade, next_earnings_date and EPS estimate, last_updated. Uncovered tickers return an error. Model es params: ticker* |
list_sector_stocks | Equity Rank's public sector index: the top scored securities in a sector, ranked by Equity Rank Score, with margin-of-safety differential, P/E, market cap, and dividend yield per row. Sectors: technology, healthcare, financials, consumer discretionary, consumer staples, industrials, energy, materials, real estate, utilities, communication services (finer platform labels such as 'Banks' or 'Softwar params: sector*, limit |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.