Use case · AI assistants & agents

Ground your assistant in real events.

Language models don't know what's on tonight. Give yours a tool that does.

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The problem

Confident answers, stale data

Ask a model what's happening nearby this weekend and it will answer confidently, from training data that is months or years old. The events it names may have ended, moved, or never existed. A few wrong answers is all it takes to lose a user's trust.

The fix is retrieval: let the assistant look up current events from a source it can cite.

How AllEvents helps

One feed, wired into your workflow.

MCP tools, ready to mount

Add search_events to your assistant and it can handle cities, dates, categories, and plain keywords the way people actually ask.

Answers it can cite

Every event carries a link to its original page, so the assistant can show its source instead of asking to be believed.

Fresh enough to act on

Near-term events are checked often, so “tonight” means tonight.

search_events({ city: "austin", date_range: "tonight" })

One tool call between a question and a real answer.

Your assistant already knows how to talk. Teach it what's on.

Join the North America beta and tell us what you’re building.

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