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Returns suggestions that appeared in Apple’s autocomplete during the last recentDays window but were absent in the prior baselineDays window. These are the rawest possible early-trend signal — Apple has decided users are searching for these terms often enough to recommend them, but they’re new enough that no one has built tracking around them yet.

Query Parameters

recentDays must be smaller than baselineDays.

Response

interpretation is a one-line plain-English summary that names the strongest emerging mover — handy for daily digest UIs and LLM agents. The response-level meta envelope describes data freshness — see Keyword Metrics → meta envelope for the schema. Suggestions are sorted by appearanceCount desc → bestRank asc → firstSeenAt desc, so the top of the list is the strongest combination of “many times observed” + “high in Apple’s list” + “still surfacing recently”.

Credit Cost

3 credits per request.

Use Cases

  • Daily “trend radar” feed for ASO teams.
  • Auto-track newly-emerging suggestions before competitors catch on.
  • Pair with /keywords/metrics to filter for emerging + low-difficulty opportunities.