For AI agents

Financial news API for AI agents

Give your AI agent clean financial news context so it can reason about what matters instead of spending tokens cleaning raw articles.

View API docs View AI signals

Builder example

REST API and MCP access

Agent-ready

REST request

GET https://stocknews.ai/api/news?symbol=NVDA,AMD,TSM&type=hot&limit=20

MCP server URI

Ask your MCP-connected agent: Find the most important bullish semiconductor news today.

What you get

Structured news signals for agents.

Each result is shaped for downstream reasoning, summarization, filtering, and decision support.

Best for research agents, portfolio assistants, market scanners, and workflows that need ranked news context.

Use the same data through REST, API docs examples, or MCP tool calls from ChatGPT.

Agent-ready fields

Use title, signalTitle, content summary, relevantSymbols, eventName, sentimentRating, and reasoning fields.

Less prompt work

Start from analyzed news so your agent spends fewer tokens on basic summarization and sentiment classification.

Market and ticker context

Request ticker-specific news or broad market news for macro, sector, and rate-sensitive context.

Traceable evidence

Keep source URLs available so your agent can cite or verify the underlying article before making a recommendation.

How it works

From financial news to AI decisions.

Step 1

Ask

Your agent asks for recent, hot, market, bullish, bearish, or event-specific financial news.

Step 2

Receive

StockNews.AI returns structured signals with scoring, summaries, source context, ticker tags, and price-at-signal data.

Step 3

Reason

Your agent can compare signals against fundamentals, technicals, portfolio exposure, or risk rules.

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

Common builder questions.

What makes this useful for AI agents?

The API returns structured analysis instead of only headlines, which makes it easier for agents to filter, rank, and explain news.

Can the agent search for general market news?

Yes. You can request market-level news and combine it with ticker-specific signals inside your agent workflow.

Can I use the data for research workflows?

Yes. The fields are designed for research assistants, dashboards, backtesting notebooks, and trading-agent context.

More builder pages

Explore StockNews.AI guides.

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