# AI Content Opportunity Radar – Find Emerging Trends

**Use case:** 

Discover emerging short-form content opportunities across Instagram Reels and TikTok. Analyze trend velocity, competition, saturation, creator performance, competitor outliers, and content patterns to identify what to post next.

## Input

```json
{
  "mode": "Content Opportunity Radar",
  "niche": "Fitness",
  "platforms": [
    "Instagram Reels",
    "TikTok"
  ],
  "country": "United States",
  "language": "English",
  "creatorSize": "Any",
  "contentStyle": "Any",
  "goal": "Views",
  "competitorAccounts": [],
  "lookbackDays": 7,
  "maxResults": 20
}
```

## Output

```json
{
  "analysisMode": {
    "label": "Analysis mode"
  },
  "rank": {
    "label": "Rank"
  },
  "opportunity": {
    "label": "Opportunity"
  },
  "opportunityScore": {
    "label": "Opportunity score"
  },
  "trendStage": {
    "label": "Trend stage"
  },
  "trendVelocity": {
    "label": "Trend velocity"
  },
  "competition": {
    "label": "Competition"
  },
  "saturationScore": {
    "label": "Saturation score"
  },
  "outlierScore": {
    "label": "Outlier score"
  },
  "platform": {
    "label": "Platform"
  },
  "creator": {
    "label": "Creator"
  },
  "competitorAccount": {
    "label": "Competitor account"
  },
  "accountPostsAnalyzed": {
    "label": "Account posts analyzed"
  },
  "creatorFollowers": {
    "label": "Creator followers"
  },
  "views": {
    "label": "Views"
  },
  "likes": {
    "label": "Likes"
  },
  "comments": {
    "label": "Comments"
  },
  "shares": {
    "label": "Shares"
  },
  "engagementRate": {
    "label": "Engagement rate"
  },
  "videoAgeHours": {
    "label": "Video age hours"
  },
  "viewsPerHour": {
    "label": "Views per hour"
  },
  "performanceVsBaseline": {
    "label": "Performance vs baseline"
  },
  "hookPattern": {
    "label": "Hook pattern"
  },
  "contentFormat": {
    "label": "Content format"
  },
  "contentAngle": {
    "label": "Content angle"
  },
  "whatToPost": {
    "label": "What to post"
  },
  "crossPlatformSignal": {
    "label": "Cross platform signal"
  },
  "whyNow": {
    "label": "Why now"
  },
  "sourceUrl": {
    "label": "Source url"
  }
}
```

## About this Actor

This example demonstrates how to use [AI Content Opportunity Radar](https://apify.com/icekurt/ai-content-opportunity-radar.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/icekurt/ai-content-opportunity-radar.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/icekurt/ai-content-opportunity-radar.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).