Live Earnings

The only live-attributed earnings feed.

The only way to follow earnings calls live, line by line, with every speaker named as they speak. In the app, through the API, or in your AI assistant (ChatGPT, Claude). Then read the full transcript free.

Said live on Cloudflare's Q3 FY26 call
“Cloudflare isn't a neo cloud we're also not as some of you have called us the fourth public cloud we're something different we're the first agentic cloud and developers are flocking to us to build the agentic AI future.”

Matthew Prince, Co-Founder and CEOat 11:28

Read it in the full transcript
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TTWO Q2 FY27

With Strauss Zelnick, Lainie Goldstein, Karl Slatoff · 19 covering analysts

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Build on Live Earnings

Built on the only live-attributed 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 (speaker, phase, correction)

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
Pythonpip install live-earnings
from live_earnings import LiveEarningsClient, Transcript

client = LiveEarningsClient(token=...)
transcript = Transcript()
for env in client.stream("nvda-q1-fy27"):
    if turn := transcript.apply(env):
        print(turn.name or "…", turn.text or "")
TypeScriptnpm i live-earnings-sdk
import { LiveEarningsClient, Transcript } from "live-earnings-sdk";

const client = new LiveEarningsClient({ token });
const transcript = new Transcript();
for await (const env of client.stream("nvda-q1-fy27")) {
  const turn = transcript.apply(env);
  if (turn) console.log(turn.name ?? "…", turn.text ?? "");
}
Read the full API referenceTalk to us about enterprise →