A live impact graph that connects every story to the stocks, trends, and competitors it actually moves — with the direction, the reason, and the noise removed.
A typical news API hands you an array of tickers — every company a story mentions. You still read the article to learn what it means. We hand you each stock the story actually moves, with the direction, the channel, and the reason.
{
"tickers": ["MU", "NVDA", "AMD",
"INTC", "MTE.XETRA"]
}
{
"name": "Micron Technology Inc",
"ticker": "MTE.XETRA", "type": "stock",
"country": "DE", "direct": true,
"impact": {
"direction": "pos", // up or down
"aspect": "demand", // through what channel
"relevance": 1.0, // how central · 0–1
"reason": "Revenue quadrupled;
$22B deals signal demand."
}
}
Most feeds score the whole article with a single sentiment number. But one story rarely moves every stock the same way — a deal that lifts the buyer sinks the seller. A blanket score can't tell them apart. We score the impact per stock: the direction, the channel, and why.
{
"sentiment": "positive",
"score": 0.68,
"entities": ["Alcoa", "South32"]
}
[ { "ticker": "AA", "direction": "pos", "aspect": "capital", "relevance": 1.0, "reason": "Buys the assets — accretive" }, { "ticker": "S32", "direction": "neg", "aspect": "capital", "relevance": 1.0, "reason": "Divests those operations" } ]
Not flat keyword tags — a 330+ node megatrend taxonomy (and growing) across 25 families. Each story maps to its epicenter and the connected trends it ripples to, so you can build thematic feeds, screeners, and trend dashboards on top.
Every entity carries a type. It's not just stocks — follow OpenAI or Anthropic the same way you follow AAPL, long before they ever IPO.
Every story becomes nodes and edges you can query — news, entities, and trends, joined by typed relationships. The direction, the channel, and the reason travel on the edges.
Pipe a clean impact feed into your models — per-stock direction, aspect, relevance and a one-line reason, with the ETF/roundup noise already triaged out.
See the methodology →Answer “which names are hit by this theme, and why” in one query — screen by megatrend, aspect and direction, and read the reason, not a sentiment score. No code.
Try the playground →Ship impact-aware features fast — one authenticated GET returns explained, structured impact across stocks, private companies, FX and crypto.
Start building →