SentimentFX

org.sentimentfx/market-sentiment · v1.0.0 · finance-and-payments

SentimentFX is healthy: it completed an MCP handshake in 1522 ms and exposes 6 tools.

FinBERT news sentiment and price history for 42 crypto, FX, stock, ETF and commodity tickers.

Endpoint: https://api.sentimentfx.org/mcp (streamable-http)

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Facts

Users (last 30 days)0
HandshakeHealthy
Auth neededNone
Tool count6
Latency1522 ms
Last checked (UTC)2026-10-15T13:10:10.253Z

Health history

Checked (UTC)StatusLatencyError
2026-10-15T13:10:10.253ZHealthy1522

Tools (6)

list_tickersList every asset SentimentFX tracks. Cheap (free — doesn't hit the billing meter). Returns two groups: `primary` (5 crypto + 7 FX pairs — the ones with full sentiment coverage across the primary RSS feeds), and `background` (US equities, ETFs, commodity futures — coverage is thinne
get_usageIntrospect your API key: included allowance, remaining credits, and when they refill. Free keys get 1,000 calls per 30-day window starting at their first billable call (`resets_at` is null when no window is running); paid plans refill on the 1st of each month. Free — doesn't hit th
get_sentimentReturn the most recent FinBERT-scored headlines for `ticker`. Each headline has a `sentiment_score` in [-1, +1] (positive_prob - negative_prob) and a categorical `sentiment_label`. Costs 1 API credit per 25 headlines actually returned — same billing as GET /v1/sentiment/{ticker}.
get_summaryReturn daily aggregated sentiment for `ticker` over the last `days`. Each entry has `avg_sentiment` (unweighted mean of that day's scores), `article_count`, and a directional `label` (positive / negative / neutral, thresholded at ±0.1). Costs 1 API credit per day actually returned
get_pricesReturn daily close prices for `ticker` over the last `days`, in the ticker's native currency -- see the `currency` field on the response. Costs 1 API credit per day actually returned — same as GET /v1/prices/{ticker}. Prices come back reverse-chronological. Crypto is GBP (yfinance
get_correlation180-day Pearson correlation between daily sentiment shifts and next-day price returns for `ticker`. Returns Pearson `r`, `p_value`, `n_days` overlapping, a 95% confidence interval (Fisher z), and a categorical `strength` (strong / weak / inconclusive). Costs 1 API credit — same as