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GET /v1/keywords/suggestions/emerging
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.

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Query Parameters

NameTypeRequiredDefaultDescription
countrystringNousISO 3166-1 alpha-2 storefront
recentDaysnumberNo7Recent window, 1–30
baselineDaysnumberNo30Baseline window before recent, 7–180
limitnumberNo50Max suggestions returned, 1–200
recentDays must be smaller than baselineDays.

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Response

{
  "ok": true,
  "data": {
    "country": "us",
    "recentDays": 7,
    "baselineDays": 30,
    "asOf": "2026-04-21",
    "total": 17,
    "suggestions": [
      {
        "suggestion": "claude code",
        "firstSeenAt": "2026-04-16",
        "bestRank": 2,
        "prefixes": ["c", "cl", "claude"],
        "appearanceCount": 12
      },
      {
        "suggestion": "ai vibes",
        "firstSeenAt": "2026-04-18",
        "bestRank": 6,
        "prefixes": ["a", "ai"],
        "appearanceCount": 6
      }
    ]
  }
}
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”.

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Credit Cost

3 credits per request.

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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.