Institutional Data Services

Your models are only as good as your data.

Licensed feeds of the research behind Earnings Whispers — the expectations, the sentiment, and the analysis — delivered for use inside your own models, systems, and reports.

What we license

Earnings Whisper® Numbers

The most accurate published earnings expectation, to sharpen your valuation and surprise models.

Investor Sentiment

Our proprietary sentiment measures for individual equities, updated continuously.

Earnings Guidance

Timely summaries and raw data from company guidance announcements.

Earnings Dates

Confirmed earnings dates, plus date changes and delayed-announcement reports.

Conference Call AI Analysis

Structured momentum signals extracted from earnings call transcripts — direction, trend axes, catalysts and risks, scored and machine-readable.

Real-Time Earnings

Reported earnings and revenue results as they cross, typically within seconds of the release.

Feeds are licensed for internal use. Redistribution and public display on websites are not included in a standard agreement — tell us what you have in mind and we’ll scope it.

Pricing

List pricing for a single-firm internal license. Multi-seat arrangements, redistribution, and custom history or delivery are quoted separately. Save with quarterly or annual billing.

Monthly Plan

$2,495 / month

Billed monthly

Quarterly Plan

$6,995 / quarter

$2,332 per month

Saves $490 a quarter

Best value

Annual Plan

$24,995 / year

$2,083 per month

Saves $4,945 a year

List pricing covers all six feeds.

A la carte

Looking for a more accurate earnings calendar for your website, or a faster earnings release feed? Contact us for pricing.

If your use case sits somewhere between these, say so in the form below rather than guessing which box it belongs in — the scoping conversation is the same either way.

First, sign in

Institutional enquiries start from an Earnings Whispers account. It takes a minute, it’s free, and it means we can tie your enquiry to a verified address rather than an anonymous form.