Dataset

crowdsourced-estimates

Estimates, Events & Fund Flows API 1 source

Earnings forecasts gathered from contributors are compared against Wall Street consensus figures.

Dataset card

Estimize publishes a crowdsourced estimates feed that aggregates contributor submissions alongside the Wall Street consensus for earnings metrics such as EPS.

What this dataset contains

The product is described as a feed of crowdsourced analyst estimates for company-level earnings items. The dataset carries tags indicating EPS, consensus, and crowdsourcing as the central themes. No sample rows or download counts are published, so the breadth of the contributor base and the time series length cannot be confirmed from the source listing.

Structure and fields

The vendor does not publish a schema, and the column list in the source record is listed as unknown. No masked sample rows are provided, so field names, identifier keys, and the exact relationship between the crowd estimate, the consensus, and reported actuals are not documented here. Any field-level work would require confirmation directly from Estimize.

How analysts use it

Equity analysts typically compare the crowd estimate to the sell-side consensus and to subsequent reported actuals to gauge surprise potential around earnings releases. Given the lack of disclosed fields and licensing terms beyond a commercial arrangement, the practical use case is limited to licensed subscribers who can obtain the underlying schema from the publisher.

Documentation & references 2