A req-level buying signal is a single open job requisition read as an intent signal: one company, at one moment, committing budget and headcount to a specific role. It is the atomic unit of hiring demand — evidence that a team is being built, a tool is being adopted, or a function is being scaled, before any of that reaches a funding round or a press release.
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Hiring-intent data is structured information about which companies are hiring, for which roles, where, and when — derived from public job postings rather than surveys or self-reported firmographics. Unlike generic intent data inferred from web behaviour, it is grounded in an action a company actually took: it opened a requisition.
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Ground-truth reqs are job requisitions read as close to the employer as possible — from a company's own careers site or applicant-tracking system — rather than reconstructed from an aggregator's re-listing. They are the hiring record before relisting, normalisation and duplication blur what was actually opened.
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Competitive hiring intelligence is the practice of tracking a defined set of companies — competitors, acquirers, portfolio companies, or target accounts — by the roles they are actively hiring for. Where a headcount chart says a company grew last quarter, competitive hiring intelligence says which functions it is investing in right now, role by role.
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A hiring-demand API is a programmatic interface that returns open requisitions and hiring-signal data as structured records — queryable by company, role, location and recency — so the data flows straight into a CRM, a data warehouse, or an agent, with no manual exports and no spreadsheet in between.
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A watch fire is one delivered change on a standing hiring search: the moment a company matching your criteria opens, changes or closes a requisition, and that change reaches your endpoint. It is the unit of monitoring — what is charged for is the change delivered, not the search kept open.
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A hiring-demand MCP server exposes req-level hiring signals as Model Context Protocol tools, so an AI agent can query open requisitions directly — asking who is hiring for a role, in a region, right now — instead of being handed a static export a person had to fetch first.
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