Global labour-market benchmarking layer delivered as Data as a Service

Global labour-market benchmarking layer delivered as Data as a Service: job postings, talent supply and demand, salary ranges, hiring difficulty, time-to-fill, application volumes and competitor hiring patterns, resolved against a proprietary skills taxonomy, work-architecture role dictionary and location mapping. Sold explicitly as APIs and multi-format data feeds intended for embedding inside a buyer's own HRIS or workforce-analytics stack, with exports carrying up to four years of history, and a direct cloud data-share option on a major warehouse marketplace.

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Coverage

Universe, instruments and categories.

Industry: Application SoftwareFinancial Exchanges & Data
Instruments: equities
Categories

Dataset card

Type: not stated
Format: Tabular JSON and multi-format data feeds via REST APIs and bulk exports, plus a native cloud data-platform share allowing the data to be queried in place; a hosted analytics platform sits above the same data.
Volume: est. global job-posting corpus in the low billions accumulated over the four-year export window across all markets and languages, plus the derived benchmarking aggregates by role, skill and location; explicit record counts are not published
Users: est. 200-600 enterprise accounts (inferred from ~220 employees across software, consulting and data-service delivery to large corporate workforce-planning teams)
History: 4 years
Update frequency: not stated
Growth: Active — platform surface still expanding with a recent AI assistant module and cloud data-marketplace distribution added alongside the traditional platform
Launched: ~2013 as an independent vendor; subsequently combined with a larger human-capital analytics group, which the corporate profile records as a merger or acquisition event
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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