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 resolved across filings, earnings materials, and other public disclosures.
Definitions, source resolution, reported and derived values, 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 referenceLicense datasets for your organization’s research pipelines. Bulk delivery is a separate contract from per-user MCP access and Research subscriptions.
Implemented Parquet and compressed CSV feeds with full snapshots and net changes. Private access, licensed scope and history are arranged with us.
Discuss a separate warehouse delivery arrangement. The current S3 rollout does not activate a Snowflake pipeline.
Open bulk delivery documentation →
SoftwareIQ can be used interactively or delivered into an existing research environment. Programmatic channels share canonical identifiers; resource scope, numeric representation and publication time vary by channel.
Interactive company, peer, category, chart, and table views for day-to-day research and review.
Per-user licensed access for Claude, ChatGPT, and Codex with OAuth and approved datasets.
