# Hiring Trend Index by Job Function

**Use case:** 

Compare bounded public hiring slices with explicit baselines, function counts, materiality, confidence, source gaps, and review actions.

## Input

```json
{
  "slices": [
    "company:greenhouse:gitlab",
    "board:xing-jobs:engineering"
  ],
  "watch_key": "***",
  "new_window_days": 30
}
```

## Output

```json
{
  "slice": {
    "label": "Slice",
    "format": "text"
  },
  "sliceKind": {
    "label": "Kind",
    "format": "text"
  },
  "found": {
    "label": "Found",
    "format": "boolean"
  },
  "baselineCreated": {
    "label": "Baseline created",
    "format": "boolean"
  },
  "totalOpenRoles": {
    "label": "Open roles now",
    "format": "number"
  },
  "totalOpenRolesDelta": {
    "label": "Change since last check",
    "format": "number"
  },
  "materialityScore": {
    "label": "Materiality score",
    "format": "number"
  },
  "materialityBand": {
    "label": "Change materiality",
    "format": "text"
  },
  "changedFields": {
    "label": "Changed fields",
    "format": "array"
  },
  "changeFlags": {
    "label": "Change flags",
    "format": "array"
  },
  "growingFunctions": {
    "label": "Growing functions",
    "format": "array"
  },
  "shrinkingFunctions": {
    "label": "Shrinking functions",
    "format": "array"
  },
  "confidenceBand": {
    "label": "Evidence confidence",
    "format": "text"
  },
  "recommendedAction": {
    "label": "Recommended action",
    "format": "text"
  },
  "actionPriority": {
    "label": "Action priority",
    "format": "text"
  },
  "safeToAutomate": {
    "label": "Safe to automate",
    "format": "boolean"
  },
  "observedAt": {
    "label": "Observed at",
    "format": "date"
  },
  "freshness": {
    "label": "Evidence freshness",
    "format": "object"
  },
  "dataGaps": {
    "label": "Data gaps",
    "format": "array"
  },
  "failureType": {
    "label": "Failure type",
    "format": "text"
  },
  "retryable": {
    "label": "Retryable",
    "format": "boolean"
  },
  "trend": {
    "label": "By function",
    "format": "object"
  },
  "partial": {
    "label": "Partial run",
    "format": "boolean"
  },
  "partialReason": {
    "label": "Partial reason",
    "format": "text"
  },
  "sourceStats": {
    "label": "Source stats",
    "format": "object"
  },
  "missingSlices": {
    "label": "Missing slices",
    "format": "array"
  },
  "error": {
    "label": "Error",
    "format": "text"
  },
  "checkedAt": {
    "label": "Checked at",
    "format": "date"
  },
  "summary": {
    "label": "Summary",
    "format": "text"
  },
  "eventId": {
    "label": "Monitor event ID",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Hiring Trend Monitor by Job Function](https://apify.com/zinin/hiring-trend-index) with a specific input configuration. Visit the [Actor detail page](https://apify.com/zinin/hiring-trend-index) 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/zinin/hiring-trend-index.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).
