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Pattern Intelligence

A pattern is a group of posts that look and feel alike. Patterns come from image and video similarity, not tags, so they capture what content actually shows (an aesthetic, a product shot, a format) even when creators tag it differently.

The map is rebuilt weekly and topped up every 48 hours. Pattern reads take no window.

Patterns follow what content looks like. Narratives follow what people are talking about.

The GET reads below are free. To match a question to the map, run a patterns job (10 credits per call).

Browse the map

GET /intelligence/patterns?limit=25
curl -H "x-api-key: $API_KEY" "$API_BASE/intelligence/patterns?limit=25"

Each pattern has a patternKey (pat_…), label, summary, and post, creator and engagement counts. patternKey stays the same across rebuilds, so you can store it.

To filter, pass both elementType (theme, aesthetic, emotion, product or visual_community) and elementValue:

GET /intelligence/patterns?elementType=aesthetic&elementValue=minimalist
curl -H "x-api-key: $API_KEY" \
"$API_BASE/intelligence/patterns?elementType=aesthetic&elementValue=minimalist"

One pattern

GET /intelligence/patterns/pat_…
curl -H "x-api-key: $API_KEY" "$API_BASE/intelligence/patterns/pat_…"

Adds:

  • recurrentElements[]: the themes, aesthetics, emotions and products its posts share, with how many posts carry each (support).
  • lateShare: the share of its posts from the later part of its window. Rising means it’s growing.
  • trajectory[]: its size at each previous rebuild.

The posts in a pattern

GET /intelligence/patterns/pat_…/content?limit=25
curl -H "x-api-key: $API_KEY" "$API_BASE/intelligence/patterns/pat_…/content?limit=25"

Returns its posts, most representative first, with title, platform, contentUrl, publishedAt and engagement.

Lookalikes

GET /intelligence/patterns/pat_…/lookalikes?limit=10
curl -H "x-api-key: $API_KEY" "$API_BASE/intelligence/patterns/pat_…/lookalikes?limit=10"

Returns patterns that look alike but are tagged differently: two communities making the same kind of content under different names. Keyword search won’t find these connections.

  • centroidCosine: how visually similar the two patterns are.
  • tagJaccard: how much their tags overlap. High visual similarity with low tag overlap is the interesting case.
  • sharedElements: what they actually have in common.

Match a question

When you start from a question rather than a pattern, submit a patterns job:

POST /intelligence/jobs
{
"kind": "patterns",
"input": {
"query": "cozy home office setups",
"limit": 8
}
}
curl -X POST "$API_BASE/intelligence/jobs" \
-H "x-api-key: $API_KEY" -H "content-type: application/json" \
-d '{ "kind": "patterns", "input": { "query": "cozy home office setups", "limit": 8 } }'

The result lists the best-matching patterns, each with its elements, representative posts and lookalikes, plus a written summary. See Intelligence Jobs for inputs and polling.