# SEC EDGAR Scraper — Filings, Full-Text RAG & XBRL Financials (`autofacts/sec-edgar-scraper`) Actor

Extract SEC EDGAR filings metadata, full-text search results, section-parsed 10-K/10-Q text for RAG, and XBRL financial facts from official SEC public data. No API key required.

- **URL**: https://apify.com/autofacts/sec-edgar-scraper.md
- **Developed by:** [Richard Feng](https://apify.com/autofacts) (community)
- **Categories:** Business, AI, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 filing metadata items

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

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).


# README

## SEC EDGAR Scraper — Filings, Full-Text RAG & XBRL Financials

Extract everything from SEC EDGAR in one Actor: company filings metadata, EDGAR full-text search, **section-parsed RAG-ready full text** (Item 1A Risk Factors, Item 7 MD&A, …), and **XBRL financial facts** — with no API key required.

### At a glance

| Field | Details |
|-------|---------|
| Source | Official U.S. SEC EDGAR public data |
| Authentication | No API key required |
| Coverage | U.S. public company and registrant filings, metadata, full text, and XBRL facts |
| Best for | SEC filings scraper, 10-K/10-Q full text extraction, financial facts API, investment research, compliance monitoring, financial RAG datasets |
| Pricing | $0.001 metadata/search item, $0.005 full-text document, $0.0002 XBRL fact |

### Features

| Feature | Description |
|---------|-------------|
| 📁 Filings metadata | All form types (10-K, 10-Q, 8-K, S-1, DEF 14A, Form 4, 13F, …) for any company, with document & exhibit links |
| 🔎 Full-text search | EDGAR full-text search (EFTS) across all filings since 2001 — phrases, form filters, date ranges |
| 🧠 RAG-ready full text | Full document text, parsed into Item sections and chunked for embeddings — feed it straight into your vector DB |
| 💰 XBRL financials | Structured financial facts (Revenues, NetIncomeLoss, EPS, Assets, …) with fiscal period metadata |
| 🏷️ Smart company lookup | Search by ticker, CIK, or company name — automatic CIK resolution |
| ⏱️ SEC-compliant rate limiting | Global throttle keeps requests safely under the SEC's 10 req/s limit |

### Quick Start

Get Apple's latest annual and quarterly reports as RAG-ready chunks:

```json
{
    "mode": "fulltext",
    "ticker": "AAPL",
    "formTypes": ["10-K", "10-Q"],
    "dateFrom": "2024-01-01",
    "chunking": "paragraph",
    "maxItems": 5
}
````

### Modes

| Mode | What you get | Charged per |
|------|--------------|-------------|
| `filings` | Filing metadata records for a company | item |
| `fulltext` | Full document text + Item sections + chunks | document |
| `search` | EDGAR full-text search hits | item |
| `facts` | XBRL financial fact rows | fact |

### Input

| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `mode` | string | yes | `filings` | `filings` | `fulltext` | `search` | `facts` |
| `ticker` | string | one of ticker/cik/companyName¹ | — | Stock ticker, e.g. `AAPL` |
| `cik` | string | ¹ | — | SEC Central Index Key, e.g. `320193` |
| `companyName` | string | ¹ | — | SEC registrant name (exact or partial) |
| `query` | string | search mode | — | Full-text search expression; quote phrases: `"supply chain disruption"` |
| `formTypes` | array | no | all | Form types to include, e.g. `["10-K", "10-Q"]` |
| `dateFrom` / `dateTo` | string | no | — | Filing date range (YYYY-MM-DD) |
| `chunking` | string | no | `section` | `section` | `paragraph` (~2000 chars, best for embeddings) | `none` |
| `includeExhibits` | boolean | no | false | Filings mode: list each filing's exhibit files |
| `factTags` | array | no | all | Facts mode: restrict to XBRL tags, e.g. `["Revenues", "NetIncomeLoss"]` |
| `dedupeFacts` | boolean | no | true | Facts mode: collapse prior-period comparatives re-reported by later filings into one row per period & value |
| `maxItems` | integer | no | 100 | Maximum items to save |

¹ `filings`, `fulltext` and `facts` modes require a company; `fulltext` can alternatively run from a `query`.

### Output

#### Example: `fulltext` item

```json
{
    "itemType": "filing-fulltext",
    "title": "Apple Inc. — 10-K 2025-10-31",
    "company": "Apple Inc.",
    "ticker": "AAPL",
    "cik": "0000320193",
    "formType": "10-K",
    "filedAt": "2025-10-31",
    "accessionNo": "0000320193-25-000123",
    "documentUrl": "https://www.sec.gov/Archives/edgar/data/320193/...",
    "sections": [
        { "name": "Item 1A — Risk Factors", "charCount": 38241 },
        { "name": "Item 7 — Management's Discussion and Analysis", "charCount": 21077 }
    ],
    "chunks": [
        { "text": "The Company's business, reputation, results of operations...", "section": "Item 1A — Risk Factors", "order": 12 }
    ],
    "textLength": 220151
}
```

#### Example: `facts` item

```json
{
    "itemType": "fact",
    "company": "Apple Inc.",
    "taxonomy": "us-gaap",
    "tag": "RevenueFromContractWithCustomerExcludingAssessedTax",
    "unit": "USD",
    "value": 111184000000,
    "start": "2025-12-28",
    "end": "2026-03-28",
    "fiscalYear": 2026,
    "fiscalPeriod": "Q2",
    "form": "10-Q"
}
```

### Recipes

#### 1. Build a RAG knowledge base from SEC filings

Pull two years of 10-K/10-Q full text for your watchlist, chunked for embeddings. Each chunk carries its Item section, so you can filter retrieval to Risk Factors or MD\&A only.

```json
{
    "mode": "fulltext",
    "ticker": "NVDA",
    "formTypes": ["10-K", "10-Q"],
    "dateFrom": "2024-01-01",
    "chunking": "paragraph",
    "maxItems": 12
}
```

#### 2. Monitor risk-factor language across an industry

Full-text search for a phrase in recent annual reports — who is talking about it, and since when?

```json
{
    "mode": "search",
    "query": "\"supply chain disruption\"",
    "formTypes": ["10-K"],
    "dateFrom": "2025-01-01",
    "maxItems": 200
}
```

#### 3. Time-series financials without parsing a single PDF

Quarterly revenue, net income and diluted EPS as clean rows, ready for a spreadsheet or BI tool:

```json
{
    "mode": "facts",
    "ticker": "MSFT",
    "factTags": ["RevenueFromContractWithCustomerExcludingAssessedTax", "NetIncomeLoss", "EarningsPerShareDiluted"],
    "dateFrom": "2023-01-01",
    "maxItems": 500
}
```

#### 4. Track insider activity and ownership filings

```json
{
    "mode": "filings",
    "ticker": "TSLA",
    "formTypes": ["Form 4", "SC 13D", "SC 13G"],
    "dateFrom": "2026-01-01",
    "maxItems": 100
}
```

### Pricing

Pay-per-event — you only pay for what gets saved:

| Event | Price |
|-------|-------|
| Filing metadata / search hit | $0.001 per item |
| Full-text document (sections + chunks) | $0.005 per document |
| XBRL financial fact | $0.0002 per fact |

Example: a RAG corpus of 50 full 10-K documents costs **$0.25**. A 1,000-row financial time series costs **$0.20**.

### FAQ

**Do I need an SEC API key?**

No. SEC EDGAR is a free public data source. The Actor identifies itself with a compliant User-Agent and stays under the SEC's rate limit automatically.

**How far back does full-text search go?**

EDGAR full-text search covers filings from 2001-05-04 onward. Filing metadata and XBRL facts go back much further (metadata to 1994).

**Why are some filings skipped in fulltext mode?**

Forms whose primary document is not HTML (e.g. XBRL-only Form 4 XML) can't be section-parsed and are skipped — you are not charged for them.

**Why did facts mode return the same period twice (with `dedupeFacts: false`)?**

XBRL filings restate prior-period comparatives — a Q2 10-Q also reports last year's Q2 column. With deduplication off you get one row per filing that reported the fact (`accessionNo`/`filed` tell you which one); with the default on, only the original disclosure is kept.

**Which chunking should I use for embeddings?**

`paragraph` produces ~2000-character chunks aligned to paragraph boundaries with section attribution — ideal for most embedding models. Use `section` if you want one chunk per Item section.

### Legal & Compliance

This Actor accesses only public data published by the U.S. Securities and Exchange Commission, which mandates open access to EDGAR. Requests are rate-limited below SEC's published threshold (10 req/s) and carry an identifying User-Agent, per SEC developer guidelines. No personal data is collected.

# Actor input Schema

## `mode` (type: `string`):

What to extract: **filings** = filing metadata for a company; **fulltext** = full document text with section parsing and RAG chunks; **search** = EDGAR full-text search hits; **facts** = XBRL financial facts.

## `ticker` (type: `string`):

Stock ticker symbol, e.g. `AAPL`. One of ticker / CIK / company name is required for filings, fulltext and facts modes.

## `cik` (type: `string`):

SEC Central Index Key, e.g. `320193`. Takes precedence over ticker and company name.

## `companyName` (type: `string`):

SEC registrant name (exact or partial), e.g. `Apple Inc.` Used when ticker/CIK are not provided.

## `query` (type: `string`):

EDGAR full-text search expression (search/fulltext modes), e.g. `"supply chain disruption"`. Covers filings from 2001-05-04 onward. Phrases can be quoted.

## `formTypes` (type: `array`):

Filing form types to include, e.g. `10-K`, `10-Q`, `8-K`, `S-1`, `DEF 14A`, `Form 4`, `13F-HR`. Leave empty for all forms.

## `dateFrom` (type: `string`):

Earliest filing date (YYYY-MM-DD). In facts mode this filters the fact period end date.

## `dateTo` (type: `string`):

Latest filing date (YYYY-MM-DD).

## `chunking` (type: `string`):

How to chunk extracted text: **section** = one chunk per Item section; **paragraph** = ~2000-char chunks on paragraph boundaries (best for embeddings); **none** = whole document text, no chunks.

## `includeExhibits` (type: `boolean`):

Filings mode: also list each filing's exhibit files (one extra request per filing).

## `factTags` (type: `array`):

Facts mode: restrict to specific XBRL tags, e.g. `Revenues`, `NetIncomeLoss`, `Assets`, `EarningsPerShareDiluted`. Leave empty for all tags.

## `dedupeFacts` (type: `boolean`):

Facts mode: filings restate prior-period comparatives, so the same fact appears once per filing that mentions it. Keep this on for a clean time series (one row per period & value, original disclosure kept). Turn off to get every reported occurrence (audit trail).

## `maxItems` (type: `integer`):

Maximum number of items to extract and save. Each saved item is charged as one event.

## Actor input object example

```json
{
  "mode": "filings",
  "ticker": "AAPL",
  "formTypes": [
    "10-K",
    "10-Q"
  ],
  "chunking": "section",
  "includeExhibits": false,
  "dedupeFacts": true,
  "maxItems": 100
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "ticker": "AAPL",
    "formTypes": [
        "10-K",
        "10-Q"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("autofacts/sec-edgar-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "ticker": "AAPL",
    "formTypes": [
        "10-K",
        "10-Q",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("autofacts/sec-edgar-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "ticker": "AAPL",
  "formTypes": [
    "10-K",
    "10-Q"
  ]
}' |
apify call autofacts/sec-edgar-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=autofacts/sec-edgar-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "SEC EDGAR Scraper — Filings, Full-Text RAG & XBRL Financials",
        "description": "Extract SEC EDGAR filings metadata, full-text search results, section-parsed 10-K/10-Q text for RAG, and XBRL financial facts from official SEC public data. No API key required.",
        "version": "1.0",
        "x-build-id": "VFZrcpOJeHFAZfwTm"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/autofacts~sec-edgar-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-autofacts-sec-edgar-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/autofacts~sec-edgar-scraper/runs": {
            "post": {
                "operationId": "runs-sync-autofacts-sec-edgar-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/autofacts~sec-edgar-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-autofacts-sec-edgar-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "mode"
                ],
                "properties": {
                    "mode": {
                        "title": "Mode",
                        "enum": [
                            "filings",
                            "fulltext",
                            "search",
                            "facts"
                        ],
                        "type": "string",
                        "description": "What to extract: **filings** = filing metadata for a company; **fulltext** = full document text with section parsing and RAG chunks; **search** = EDGAR full-text search hits; **facts** = XBRL financial facts.",
                        "default": "filings"
                    },
                    "ticker": {
                        "title": "Ticker",
                        "type": "string",
                        "description": "Stock ticker symbol, e.g. `AAPL`. One of ticker / CIK / company name is required for filings, fulltext and facts modes."
                    },
                    "cik": {
                        "title": "CIK",
                        "type": "string",
                        "description": "SEC Central Index Key, e.g. `320193`. Takes precedence over ticker and company name."
                    },
                    "companyName": {
                        "title": "Company name",
                        "type": "string",
                        "description": "SEC registrant name (exact or partial), e.g. `Apple Inc.` Used when ticker/CIK are not provided."
                    },
                    "query": {
                        "title": "Full-text query",
                        "type": "string",
                        "description": "EDGAR full-text search expression (search/fulltext modes), e.g. `\"supply chain disruption\"`. Covers filings from 2001-05-04 onward. Phrases can be quoted."
                    },
                    "formTypes": {
                        "title": "Form types",
                        "type": "array",
                        "description": "Filing form types to include, e.g. `10-K`, `10-Q`, `8-K`, `S-1`, `DEF 14A`, `Form 4`, `13F-HR`. Leave empty for all forms.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "dateFrom": {
                        "title": "Date from",
                        "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
                        "type": "string",
                        "description": "Earliest filing date (YYYY-MM-DD). In facts mode this filters the fact period end date."
                    },
                    "dateTo": {
                        "title": "Date to",
                        "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
                        "type": "string",
                        "description": "Latest filing date (YYYY-MM-DD)."
                    },
                    "chunking": {
                        "title": "Chunking (fulltext mode)",
                        "enum": [
                            "section",
                            "paragraph",
                            "none"
                        ],
                        "type": "string",
                        "description": "How to chunk extracted text: **section** = one chunk per Item section; **paragraph** = ~2000-char chunks on paragraph boundaries (best for embeddings); **none** = whole document text, no chunks.",
                        "default": "section"
                    },
                    "includeExhibits": {
                        "title": "Include exhibits list",
                        "type": "boolean",
                        "description": "Filings mode: also list each filing's exhibit files (one extra request per filing).",
                        "default": false
                    },
                    "factTags": {
                        "title": "XBRL fact tags",
                        "type": "array",
                        "description": "Facts mode: restrict to specific XBRL tags, e.g. `Revenues`, `NetIncomeLoss`, `Assets`, `EarningsPerShareDiluted`. Leave empty for all tags.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "dedupeFacts": {
                        "title": "Deduplicate re-reported facts",
                        "type": "boolean",
                        "description": "Facts mode: filings restate prior-period comparatives, so the same fact appears once per filing that mentions it. Keep this on for a clean time series (one row per period & value, original disclosure kept). Turn off to get every reported occurrence (audit trail).",
                        "default": true
                    },
                    "maxItems": {
                        "title": "Max items",
                        "minimum": 1,
                        "type": "integer",
                        "description": "Maximum number of items to extract and save. Each saved item is charged as one event.",
                        "default": 100
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```