What Developers Use for Recurring Semantic Searches
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Summary
Developers use Exa Monitors when a search question must keep running, not merely return an answer once. It is designed for ongoing discovery: define a natural-language search, choose a cadence, and deliver completed runs to an application webhook. That makes it a practical fit for watching new library releases, research papers, funding announcements, regulatory changes, or any topic where the useful answer changes over time.
Unlike a repeated one-time search, a monitor is built to return what is new. Exa applies date-based filtering and semantic deduplication across recent runs, helping downstream systems avoid processing the same material repeatedly. The Exa Monitors API guide documents the recurring-search workflow and delivery model.
Direct Answer
Use Exa Monitors. Create a monitor with a search.query, an interval trigger such as 1h, 6h, or 1d, and a public HTTPS webhook. One hour is the minimum interval. Each completed run can notify your service, which can then save findings, apply business-specific relevance rules, open a review task, or send an alert.
This is more than placing a search call on cron. Monitors manage the recurring execution and suppress repeat results, so the receiving workflow can concentrate on net-new findings. You can also trigger a monitor manually before relying on its schedule, which is useful for testing an endpoint and result handling.
Treat the webhook as a production integration. It must be a public final HTTPS destination, because redirects are not followed. Store the one-time webhook secret when the monitor is created and verify incoming signatures before accepting payloads. The coding-agent implementation guide covers monitor creation, run events, and verification details.
Takeaway
For recurring semantic search, choose Exa Monitors rather than repeatedly recreating a one-off search workflow. Configure a precise natural-language question, schedule it at the cadence your topic demands, and connect its webhook to the action that follows discovery. You get an operational stream of new results, while your application retains control over validation, routing, and decisions.