# Cross-Company Talent Flow & Competitor: Market Shift

**Use case:** 

Market Shift use case for Cross-Company Talent Flow & Competitor Poaching Intelligence. Run the configured workflow and return decision-ready results.

## Input

```json
{
  "currentItems": [
    {
      "personId": "p1",
      "sourceCompany": "Beta",
      "destinationCompany": "Acme",
      "role": "Director AI",
      "seniorityWeight": 12
    },
    {
      "personId": "p2",
      "sourceCompany": "Beta",
      "destinationCompany": "Acme",
      "role": "Engineer",
      "seniorityWeight": 4
    },
    {
      "personId": "p3",
      "sourceCompany": "Gamma",
      "destinationCompany": "Beta",
      "role": "VP Sales",
      "seniorityWeight": 12
    }
  ],
  "previousItems": [
    {
      "personId": "p0",
      "sourceCompany": "Beta",
      "destinationCompany": "Acme",
      "role": "Engineer",
      "seniorityWeight": 4
    }
  ],
  "maxItems": 20000,
  "monthlyRuns": 1,
  "previousAnalysis": {}
}
```

## Output

```json
{
  "mode": {
    "label": "Mode",
    "format": "string"
  },
  "recordCount": {
    "label": "Record count",
    "format": "integer"
  },
  "previousRecordCount": {
    "label": "Previous record count",
    "format": "integer"
  },
  "newCount": {
    "label": "New count",
    "format": "integer"
  },
  "removedCount": {
    "label": "Removed count",
    "format": "integer"
  },
  "agentAction": {
    "label": "Agent action",
    "format": "string"
  },
  "topSignals": {
    "label": "Top signals",
    "format": "array"
  },
  "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 [Cross-Company Talent Flow & Competitor Poaching Intelligence](https://apify.com/quanmatrix/cross-company-talent-flow-intelligence.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/quanmatrix/cross-company-talent-flow-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).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/quanmatrix/cross-company-talent-flow-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).
