# Instagram Content Gap & Creative: Quality Review

**Use case:** 

Quality Review use case for Instagram Content Gap & Creative Momentum Intelligence. Run the configured workflow and return decision-ready results.

## Input

```json
{
  "currentItems": [
    {
      "id": "p1",
      "username": "brandA",
      "caption": "5 quick running recovery tips",
      "likesCount": 9200,
      "commentsCount": 430,
      "videoViewCount": 182000,
      "timestamp": "2026-09-09T12:00:00Z",
      "type": "Reel"
    },
    {
      "id": "p2",
      "username": "brandB",
      "caption": "new trail shoe launch review",
      "likesCount": 4100,
      "commentsCount": 190,
      "videoViewCount": 65000,
      "timestamp": "2026-09-08T12:00:00Z",
      "type": "Reel"
    }
  ],
  "previousItems": [
    {
      "id": "p1",
      "username": "brandA",
      "caption": "5 quick running recovery tips",
      "likesCount": 6100,
      "commentsCount": 270,
      "videoViewCount": 105000,
      "timestamp": "2026-09-09T12:00:00Z",
      "type": "Reel"
    }
  ],
  "queries": [],
  "urls": [],
  "directFetch": true,
  "language": "en",
  "countryCode": "us",
  "maxResults": 20,
  "maxItems": 20000,
  "monthlyRuns": 1,
  "previousAnalysis": {}
}
```

## Output

```json
{
  "entityId": {
    "label": "Entity id",
    "format": "string"
  },
  "signalScore": {
    "label": "Signal score",
    "format": "number"
  },
  "changeScore": {
    "label": "Change score",
    "format": "number"
  },
  "agentAction": {
    "label": "Agent action",
    "format": "string"
  },
  "agentReason": {
    "label": "Agent reason",
    "format": "string"
  },
  "observedAt": {
    "label": "Observed at",
    "format": "string"
  },
  "executiveDecision": {
    "label": "Executive decision",
    "format": "string"
  },
  "decisionConfidenceScore": {
    "label": "Decision confidence score",
    "format": "number"
  },
  "baselineAvailable": {
    "label": "Baseline available",
    "format": "boolean"
  },
  "regressionDetected": {
    "label": "Regression detected",
    "format": "boolean"
  },
  "estimatedEconomicImpactUsd": {
    "label": "Estimated economic impact (USD)",
    "format": "number"
  },
  "recommendedAction": {
    "label": "Recommended action",
    "format": "string"
  },
  "decisionMetric": {
    "label": "Decision metric",
    "format": "string"
  },
  "decisionMetricDelta": {
    "label": "Decision metric delta",
    "format": "number"
  }
}
```

## About this Actor

This example demonstrates how to use [Instagram Content Gap & Creative Momentum Intelligence](https://apify.com/quanmatrix/instagram-content-competitive-gap-intelligence.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/quanmatrix/instagram-content-competitive-gap-intelligence.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/quanmatrix/instagram-content-competitive-gap-intelligence.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).