Sentiment rating
Filter and rank by verybullish, bullish, neutral, bearish, and verybearish labels.
Get sentiment and reasoning on market-moving stock news, plus enough source context for users and AI agents to verify the signal.
Builder example
GET https://stocknews.ai/api/news?sentimentRating=bullish,verybullish&symbol=AAPL&limit=10Ask your MCP-connected agent: Find bullish AAPL news with source URLs and explain why it matters.What you get
Sentiment is useful when it is paired with event context, source quality, ticker relevance, and reasoning.
Filter and rank by verybullish, bullish, neutral, bearish, and verybearish labels.
Use sentimentScore, importanceScore, relevanceScore, confidence, and noveltyScore when available.
Read sentimentReasoning and stockImpactReasoning to understand why a signal may matter.
Keep traceability with url, source, sourcesJson[].sourceUrl, sourceCount, and published timestamps.
How it works
Ask for sentiment-filtered news by symbol, source, eventName, or hot/market view.
Use summary, sentimentRating, scores, reasoning, source URLs, and startPrice to understand the signal.
Send the signal into an AI agent, dashboard, alerting workflow, or research notebook.
Sample signal fields
JSON{
"symbol": "LDOS",
"sentimentRating": "verybullish",
"eventName": "Mass Contract",
"importanceScore": 90,
"sentimentScore": 85,
"relevanceScore": 95,
"summary": "Leidos was awarded a $2.7 billion contract...",
"startPrice": 128.33,
"sourcesJson": [
{ "source": "PRNewswire", "sourceUrl": "..." },
{ "source": "Reuters", "sourceUrl": "..." }
]
}FAQ
No. StockNews.AI analyzes article content and event context, then returns a sentiment rating and reasoning.
Yes. You can combine sentimentRating with eventName, symbol, source, type, and limit parameters.
Source URLs help users and agents verify the underlying article before trusting or acting on a signal.
More builder pages
Build trading agents, research assistants, and dashboards on top of structured stock news signals instead of raw headlines.
Give your AI agent clean financial news context so it can reason about what matters instead of spending tokens cleaning raw articles.
Connect your AI client to StockNews.AI with an MCP Server URI and give it read-only tools for stock news, company context, and market data.
Feed your trading bot cleaner news signals so it can focus on ranking opportunities, researching catalysts, and testing outcomes.