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GET
/
v1
/
intelligence
/
recommendations
Get Recommendations
curl --request GET \
  --url https://app.uselamina.ai/v1/intelligence/recommendations \
  --header 'x-api-key: <api-key>'
{
  "data": [
    {
      "id": "rec-001",
      "type": "trend_opportunity",
      "status": "open",
      "priority": 1,
      "title": "Capitalize on 'quiet luxury' trend for Instagram",
      "summary": "The 'quiet luxury' aesthetic is trending +45% this week. Your brand's minimalist identity is a natural fit.",
      "data": {
        "trendSignal": "quiet luxury",
        "trendGrowth": "+45%",
        "suggestedPlatform": "instagram",
        "suggestedModality": "image"
      },
      "createdAt": "2026-04-15T08:00:00.000Z"
    },
    {
      "id": "rec-002",
      "type": "gap_analysis",
      "status": "open",
      "priority": 2,
      "title": "No video content published in 14 days",
      "summary": "Video content historically drives 2.3x engagement for your brand. Consider creating short-form video.",
      "data": {
        "daysSinceLastVideo": 14,
        "videoEngagementMultiplier": 2.3
      },
      "createdAt": "2026-04-14T12:00:00.000Z"
    }
  ]
}
Returns actionable content recommendations grounded in your brand context and recent performance data. Recommendations cover what to create next, which formats to prioritize, and how to improve existing content. Use this to drive editorial calendars, feed agent-based content planners, or surface suggestions in creative tools.

Authorizations

x-api-key
string
header
required

Workspace API key. Prefix: lma_. Example: lma_abc123...

Query Parameters

campaignId
string<uuid>

Filter recommendations to a specific campaign.

workflowId
string<uuid>

Filter recommendations to a specific workflow/app.

brandProfileId
string<uuid>

Filter recommendations to a specific brand profile.

platform
string

Filter by target platform.

objective
string

Filter by content objective.

modality
string

Filter by content modality.

limit
integer
default:25

Maximum number of recommendations to return.

Required range: x <= 100

Response

List of open content recommendations

data
object[]