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Live Earnings
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Live EarningsLive Earnings
Build on Live Earnings
The only live-attributed earnings feed.
Now an API.
Every word attributed to the speaker who said it. Streamed within seconds of being spoken. This is the foundation for every product that operates while the call is live — alerts, signal generation, position sizing, post-call analysis. Build what your competitors can't.
Diarization tells you a speaker changed.
Live Earnings tells you who it was.
Other live transcript feeds
Live Earnings
Speaker 1 / Speaker 2
Toshiya Hari, Goldman Sachs
Diarization only
Speaker name + role + firm
Buggy real-time labels
Provisional events with explicit corrections
Generic transcript text
Typed event stream (attribution, phase, insight)
Live diarization is not enough. Live Earnings resolves the speaker.
Trading desks
Surface guidance, surprises, analyst pressure points in the seat — sub-5-second from spoken word to your terminal.
Research products
Replace transcription vendors that ship hours later. Live attributed copy, ready to highlight, quote, embed.
Internal LLM pipelines
Feed attributed turns into your own models for sentiment, deviation-from-guidance, Q&A pattern detection.
Install
Python
pip install live-earningsfrom live_earnings import LiveEarningsClient
client = LiveEarningsClient(token=...)
for env in client.stream("nvda-q1-fy27"):
print(env.event.name, env.event.text)TypeScript
npm i live-earnings-sdkimport { LiveEarningsClient } from "live-earnings-sdk";
const client = new LiveEarningsClient({ token });
for await (const env of client.stream("nvda-q1-fy27")) {
console.log(env.event.name, env.event.text);
}