SoftwareIQ data reference
Dataset methodology, definitions, and field references for interpreting SoftwareIQ research views and delivered data.
Select the dataset being used in the research platform or data feed.
Company-reported operating measures and management guidance resolved across filings, earnings materials, and other public disclosures.
Definitions, source resolution, reported and derived values, guidance, metric families, fact fields, and Data Warehouse tables.
Open dataset referenceDaily direct-employer hiring observations classified by function, role, geography, and supported company-specific investment themes.
Collection methodology, posting semantics, classifier dimensions, versioning, continuity events, fact fields, and table definitions.
Open dataset referenceObservable activity from mapped software projects, packages, containers, providers, and related ecosystem artifacts.
Artifact mapping, activity normalization, company association, counter treatment, availability, and interpretation.
Open dataset referenceSoftwareIQ can be used interactively or delivered into an existing research environment. Programmatic channels follow the same logical definitions and identifiers.
Interactive company, peer, category, chart, and table views for day-to-day research and review.
Read-only resources for targeted retrieval, notebooks, applications, and scheduled data access.
Typed analytical tables for governed distribution and warehouse-native research, available through Snowflake or BigQuery.
