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Choosing the Right Call

KINETK has three kinds of call. Picking the right one is most of what makes an integration fast and cheap.

Kind of callEndpointsSpeedCost
Precomputed reads — the narrative and pattern maps, rebuilt on a scheduleGET /narratives/*, GET /intelligence/patterns/*under 2 sfree
Fast search — real-time retrieval and analysis (max 300 records)POST /searcha few seconds0.01 credits per record
Async jobs — deep retrieval and analysis over the live corpusPOST /intelligence/jobs (records, insights, patterns, stats)10 s to a few minutesper record or flat

Most calls take a time window: 7d, 30d, 90d or all. It sets how far back to look, from the last week to everything in the corpus. The window never changes the price.

Which call answers my question?

Ask about a topic

Start with search. Each of the others goes further in one direction.

Not sure where to start? Run POST /search with your question. If the answer is interesting, send the same query to an insights job to go deeper.

Explore narratives (free)

These read the precomputed maps. They’re instant and cost nothing, so use them freely.

You want to…Call
See what’s trending right nowGET /narratives/trending
Find existing narratives about a topicGET /narratives/search?q=…
Dig into one narrative: its posts, creators and platform splitGET /narratives/{id}
Check if a narrative is growing or fadingGET /narratives/{id}/trajectory

Narrative ids come from search, trending and insights, so you can go straight from a search result to GET /narratives/{id} and its trajectory without searching again. These reads are free and instant, so they’re a good base for dashboards you refresh often.

Keeping costs down

  • Start with the free reads. If a narrative or pattern already answers the question, you don’t need a paid call.
  • Size limit to what you’ll read. You pay per record, and smaller limits come back faster.
  • Pick the narrowest window. It doesn’t change the price, but 7d and 30d return fresher, more focused results than all.
  • Use a job for anything over 300 records. Search tops out at 300; a records or insights job goes up to 10,000.

Through an AI assistant

If you work in Claude, ChatGPT, Cursor or another MCP client, the hosted MCP exposes the narrative reads, the pattern map and the async jobs as tools. Mention kinetk in your prompt so the assistant uses them. See What You Can Ask for example prompts.