10 actions in 10 pieces of software · ranked by words, meaning and measured trust · 765 ms
MCP serverrecord
- finbert_demo_classify
Classify the sentiment of a piece of financial text as positive, negative, or neutral.
- finbert_demo_classify
modelrecord154,952 downloads/month
- text-classification
Task: text-classification
- text-classification
skillrkiding/awesome-finance-skillsrecord
- alphaear-sentiment
Analyze finance text sentiment using FinBERT or LLM. Use when the user needs to determine the sentiment (positive/negative/neutral) and score of financial text markets.
- alphaear-sentiment
modelrecord924 downloads/month
- text-generation
Task: text-generation
- text-generation
skillhimself65/finance-skillsrecord
- finance-sentiment
Fetch normalized stock sentiment across Reddit, X.com, financial news, and Polymarket from the Adanos Finance API: buzz score, bullish percentage, mention or trade counts, and trend. Use this skill whenever the user asks how much a stock is being discussed or how hot it is on social platforms, how m
- finance-sentiment
- 6claude-tradingagentsfound in code, not yet checkedno passport yet
MCP servernamikos/claude-tradingagents
- finbert_score
Finance-tuned BERT (ProsusAI/finbert) sentiment classifier.
- finbert_score
- 7financial-research-agentfound in code, not yet checkedno passport yet
- news_sentiment
Search recent news and compute bullish/bearish/neutral sentiment.
- news_sentiment
- 8financial-mcp-serverfound in code, not yet checkedno passport yet
MCP serversuraif16/financial-mcp-server
- get_market_sentiment
Get market sentiment and news analysis for a stock
- get_market_sentiment
- 9econ-agentfound in code, not yet checkedno passport yet
MCP serverimba-zzc/econ-agent
- finbert_policy_sentiment
Run FinBERT-style sentence sentiment, with deterministic lexical fallback.
- finbert_policy_sentiment
- 10Financial Risk MCP Serverfound in code, not yet checkedno passport yet
- get_sentiment
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.