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Institutional data

Estimize data for your firm

Institutional access is the whole Estimize dataset, licensed as a daily feed: real-time API, daily FTP delivery, Excel files, and point-in-time history back to 2012. Academic research uses the same form. Tell us what you’re working on and we’ll scope it with you.

Premium Plus, Academic, or Institutional?

Premium Plus is a key you buy and start using today. Academic is a research license. Institutional is a daily feed we set up with your team.

Premium Plus $249 / month Academic Research license Institutional Daily feed
How you get it Subscribe from your profile. Your key is ready immediately, and the first 21 days are free. Request it on this page. We set up a research license with you. Fill in this form. We scope it with you, sign a contract, then send credentials.
How the data arrives REST API Historical files you download for the study Real-time API, daily FTP drops, Excel files, and bulk history files
What’s covered US equities: EPS and revenue consensus plus individual estimates Equities consensus and the individual estimates behind it Equities, KPIs, economic indicators, and the Estimize Signal
History Query equities history by date range, within your rate limit Point-in-time history for the period your research covers Point-in-time files back to 2012, delivered to you
Rate limit 100 calls/day while we review your account, then 300 requests/min Research use — not a live production API Agreed in the contract
Who can use it You, with one key You and your co-authors. Publishing the work needs an academic license. Your team or firm. Redistribution to your own users can be licensed.
Website access Everything in Premium: screener, alerts, factor scores, daily Excel The public site. The dataset itself is licensed separately. Platform seats as agreed
Support Email Email, and we can talk through research ideas A named contact for onboarding and data questions

Just want the key? Start a 21-day free trial of Premium Plus → · Request academic or institutional access → · See all plans

What that looks like in practice

Premium Plus

  • A PM with a Python notebook pulls consensus for 60 tickers each morning and flags where the crowd is far from the Street.
  • An individual investor keeps a spreadsheet that refreshes Estimize revisions before the open.
  • A developer prototypes an earnings tool on live equities data before deciding whether to license it.

Institutional

  • A quant fund backtests a revisions signal on point-in-time consensus since 2012, delivered as files into their research cluster.
  • A multi-strategy desk picks up daily FTP drops of equities, KPIs, and macro into its data warehouse.
  • A brokerage or data platform shows Estimize consensus to its own customers under a redistribution license.

What’s in the dataset

  • Point-in-time history back to 2012 across 3,000 US equities and ADRs
  • Mean and weighted consensus over time, plus every individual estimate and revision behind it
  • Reported actuals before the open, in the same accounting standard the crowd forecast
  • More accurate than Wall Street about 70% of the time, with roughly twice the contributors and revisions
  • KPIs, economic indicators, and the Estimize Signal factor model

Research

Crowdsourcing Earnings and Revenue Estimates

Wolfe Research · Yin Luo

Earnings estimates drive stock returns — Estimize adds a broader, less biased crowd.

Download paper →

Crowdsourced Forecasts and Market Reaction

Sandra Schafhäutle · University of Pennsylvania

User-generated estimates help investors discount sell-side bias around earnings news.

Download paper →

Improving Earnings Forecasts with Estimize

Deutsche Bank Quantitative Research

Diversity of contributors improves short-term forecast accuracy and strategies.

Download paper →

API docs · Data dictionary · Data FAQ

Request academic or institutional access

Tell us a little about you and what you’re building — a firm license or an academic study. Someone from the data team will reply within a business day. If you pick Contributor, Premium, or Premium Plus instead, we’ll send you straight to sign-up or checkout.