# NVIDIA AI Infrastructure 10-K Sections to JSON

**Use case:** 

Extract Items 1, 1A, 7, 7A from an NVIDIA-style AI infrastructure 10-K into citation-ready JSON chunks.

## Input

```json
{
  "items": [
    {
      "rawText": "Item 1. Business\nNVIDIA Corporation designs graphics processing units and AI infrastructure platforms for data centers.\n\nItem 1A. Risk Factors\nDemand for AI compute is cyclical and concentrated among large cloud providers. Supply chain disruptions for advanced semiconductors may delay shipments. Export controls may restrict sales in certain markets.\n\nItem 7. Management's Discussion and Analysis\nRevenue grew as data center AI deployments expanded. Gross margin reflects product mix toward high-performance compute platforms.\n\nItem 7A. Quantitative and Qualitative Disclosures About Market Risk\nThe company holds cash equivalents exposed to interest-rate fluctuations. Foreign currency exposure arises from international operations.",
      "requestedItems": [
        "1",
        "1A",
        "7",
        "7A"
      ],
      "sourceName": "nvidia-ai-infra-10k-example"
    }
  ]
}
```

## Output

```json
{
  "sourceName": {
    "label": "sourceName",
    "format": "string"
  },
  "sectionItem": {
    "label": "sectionItem",
    "format": "string"
  },
  "text": {
    "label": "text",
    "format": "string"
  },
  "chunkId": {
    "label": "chunkId",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The SEC Filings: 10-K Risk Factors & MD&A Extractor for AI & RAG Actor is ready to run with the inputs already set for "NVIDIA AI Infrastructure 10-K Sections to JSON". [Sign up or log in](https://console.apify.com/create-task-from-example/2ifye09QPKRNxBhxr) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "NVIDIA AI Infrastructure 10-K Sections to JSON" task

The SEC Filings: 10-K Risk Factors & MD&A Extractor for AI & RAG Actor will start running based on the input automatically. You can also change all the input fields, like filings, to match your specific use case.

### 3. Receive the "NVIDIA AI Infrastructure 10-K Sections to JSON" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as sourcename, sectionitem, text, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "NVIDIA AI Infrastructure 10-K Sections to JSON" task via API](https://apify.com/skilled_glee/sec-filing-section-chunker.md).

## About this Actor

This example demonstrates how to use [SEC Filings: 10-K Risk Factors & MD&A Extractor for AI & RAG](https://apify.com/skilled_glee/sec-filing-section-chunker.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/skilled_glee/sec-filing-section-chunker.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/skilled_glee/sec-filing-section-chunker.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`).