# Analyze Brand Signal Sequence Transitions

**Use case:** 

Analyze ordered buyer-supplied sequences and return directed transition counts, support, and stable workflow summaries.

## Input

```json
{
  "schemaVersion": "1.0",
  "sequences": [
    {
      "sequenceId": "journey-001",
      "stepIds": [
        "discover",
        "compare",
        "select",
        "purchase"
      ]
    },
    {
      "sequenceId": "journey-002",
      "stepIds": [
        "discover",
        "compare",
        "purchase"
      ]
    },
    {
      "sequenceId": "journey-003",
      "stepIds": [
        "discover",
        "select",
        "purchase"
      ]
    }
  ]
}
```

## Output

```json
{
  "schemaVersion": {
    "label": "Schema",
    "format": "text"
  },
  "reportType": {
    "label": "Report type",
    "format": "text"
  },
  "attribution": {
    "label": "Input boundary",
    "format": "json"
  },
  "totalSequences": {
    "label": "Sequences",
    "format": "number"
  },
  "totalTransitions": {
    "label": "Transitions",
    "format": "number"
  },
  "totalUniqueSteps": {
    "label": "Unique steps",
    "format": "number"
  },
  "sequenceCounts": {
    "label": "Sequence counts",
    "format": "json"
  },
  "transitionRows": {
    "label": "Directed transition rows",
    "format": "json"
  },
  "counts": {
    "label": "Counts",
    "format": "json"
  },
  "decision": {
    "label": "Review decision",
    "format": "json"
  },
  "inputDigest": {
    "label": "Input SHA-256",
    "format": "text"
  },
  "sequencesDigest": {
    "label": "Sequences SHA-256",
    "format": "text"
  },
  "transitionRowsDigest": {
    "label": "Transition rows SHA-256",
    "format": "text"
  },
  "resultDigest": {
    "label": "Result SHA-256",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Brand Signal Sequence Transition Analyzer](https://apify.com/zinin/us-brand-signal-sequence-transition-analyzer) with a specific input configuration. Visit the [Actor detail page](https://apify.com/zinin/us-brand-signal-sequence-transition-analyzer) 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`.
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/zinin/us-brand-signal-sequence-transition-analyzer.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).
