# SEC EDGAR Intel - 8-K Triggers, Form 4 Patterns, Form D Funding (`seibs.co/sec-edgar-intel`) Actor

SEC filings intelligence. 8-K trigger classifier (M\&A/exec-change/going-concern/etc), Form 4 insider patterns (cluster buys, unusual size), 13F position tracker, Form D startup raises, earnings transcript extraction. For hedge funds, fintech, due diligence, journalists.

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

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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 Intel

Classifies SEC filings (8-K triggers, Form 4 insider patterns, 13F changes, Form D raises, going-concern, earnings transcripts) - not just downloads them.

### What does SEC EDGAR Intel do?

It hits the free public SEC EDGAR APIs (`data.sec.gov` + `www.sec.gov/cgi-bin/browse-edgar`) and post-processes every filing into pre-classified intelligence: 8-K material events, Form 4 cluster-buy / unusual-size flags, 13F quarter-over-quarter position deltas, Form D startup raises, going-concern detection on 10-K/10-Q risk factors, and 8-K Exhibit 99.x earnings transcript extraction.

### Features

- 8-K material event classifier - `mergers_acquisitions`, `executive_change`, `going_concern`, `impairment`, `class_action`, `restatement`, `dividend_change`, `debt_issuance`, `customer_loss`, `bankruptcy`, `auditor_change`, `restructuring` and more, with confidence scores and text evidence.
- Form 4 insider pattern flags - `cluster_buy`, `unusual_size`, `c_suite_only`, `post_10b5_1_termination`.
- 13F position change tracker - `new` / `increased` / `decreased` / `exited` / `unchanged` per holding, with share-count delta and percentage.
- Going-concern detector for 10-K / 10-Q risk sections with evidence excerpts.
- Form D startup raise tracker - total offering, amount sold, investor count, related persons.
- Earnings transcript extraction from 8-K Exhibit 99.1 / 99.2.
- Full-text search across the EDGAR full-text index (filings since 2001) with keyword excerpts.
- SEC fair-access compliance - required User-Agent input + 8 req/sec semaphore.

### Use cases

- Hedge funds and quant teams - daily Form 4 cluster-buy alerts, 13F position changes the day they hit EDGAR.
- Fintech apps - pre-classified 8-K events drive push notifications without running internal NLP.
- Due diligence and M&A - going-concern detection across portfolios; restatement / auditor change scanning.
- Securities litigation - class action and restatement detection across an industry.
- Journalists - bulk Form D scraping for startup raise scoops.
- VC analysts - Form D funding tracker with investor and related-persons extraction.

### Modes

| Mode | What it returns |
|---|---|
| `company_filings` | All filings for the given tickers/CIKs, filtered by form type and date range. |
| `recent_8k` | Most recent 8-K filings + trigger classification + earnings transcripts when present. |
| `form_4_insider` | Form 4 insider trades with reporter, role, transactions, and pattern flags. |
| `form_d_funding` | Form D startup raises with offering amounts, investors, and related persons. |
| `13f_positions` | 13F-HR institutional holdings with quarter-over-quarter position changes. |
| `full_text_search` | Keyword search across EDGAR full-text with excerpt snippets. |

### Input

See `.actor/INPUT_SCHEMA.json` for the full input form. Key fields:

```json
{
    "mode": "recent_8k",
    "tickers": ["AAPL", "MSFT"],
    "form_types": ["8-K"],
    "date_from": "2026-01-01",
    "include_8k_trigger_classification": true,
    "user_agent_contact": "MyApp contact@example.com",
    "max_results_per_query": 100
}
````

`user_agent_contact` is required - SEC fair-access policy demands an identifying email; misidentified requests get IP-banned.

### Output

One dataset record per filing. Sample:

```json
{
    "cik": "0000320193",
    "ticker": "AAPL",
    "company_name": "Apple Inc.",
    "form_type": "8-K",
    "accession_number": "0001193125-26-012345",
    "filing_date": "2026-04-30",
    "filing_url": "https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0000320193",
    "item_codes": ["2.02", "9.01"],
    "trigger_classification": {
        "categories": ["earnings", "dividend_change"],
        "confidence": {"earnings": 0.92, "dividend_change": 0.71}
    },
    "earnings_transcript_detected": true,
    "scraped_at": "2026-05-14T12:00:00Z",
    "available": true,
    "mode": "recent_8k"
}
```

Failed lookups still emit a record with `available: false` and a `reason` for completeness audit.

### Pricing

Pay-per-event:

| Event | Price | When charged |
|---|---|---|
| `filing_record` | $0.005 | Per filing returned with metadata. |
| `intelligence_enrichment` | $0.010 | When a trigger classification, Form 4 pattern flag, or going-concern signal is detected. |
| `full_text_charge` | $0.015 | When `include_full_text=true` and raw filing text is embedded. |
| `earnings_transcript_charge` | $0.010 | When an earnings transcript is extracted from 8-K Exhibit 99.x. |

A typical 100-filing `recent_8k` run with classification on costs roughly $0.50 - $1.50.

### FAQ

**Q: Do I need an SEC API key?**
A: No - SEC EDGAR is fully public. You only need to set `user_agent_contact` to an identifying email so SEC can reach you if your usage misbehaves.

**Q: Will it get my account IP-banned?**
A: Not if you keep `concurrency` at or below 8 (the default is 6) and provide an honest `user_agent_contact`. The actor self-throttles to stay below SEC's 10 req/sec cap.

**Q: How far back does data go?**
A: Submissions JSON returns the most recent ~1000 filings per CIK. Run multiple date-windowed queries for deeper history. Full-text search covers filings since 2001.

**Q: How accurate is the 8-K trigger classifier?**
A: It maps Item codes (1.01, 5.02, 4.02, etc.) and runs keyword regex clusters with confidence scores plus evidence snippets. Spot-check before using for compliance work.

### Support

Open an issue on the actor's GitHub or email the maintainer via the Apify Store contact link. Include the run ID and the input config so the issue is reproducible.

### Changelog

See [CHANGELOG.md](./CHANGELOG.md).

# Actor input Schema

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

company\_filings = all filings for given tickers/CIKs. recent\_8k = most recent 8-K filings with trigger classification. form\_4\_insider = insider trades with cluster/unusual-size flags. form\_d\_funding = startup raise tracker. 13f\_positions = institutional holdings + position changes. full\_text\_search = keyword search across EDGAR full-text index.

## `tickers` (type: `array`):

Stock tickers (e.g. 'AAPL') or 10-digit CIK numbers (e.g. '0000320193'). Auto-detected per item. Used for company\_filings, recent\_8k, form\_4\_insider, 13f\_positions modes.

## `company_names` (type: `array`):

Free-text company names to resolve to CIKs (e.g. 'Berkshire Hathaway'). Used as alternative to tickers in company\_filings mode.

## `form_types` (type: `array`):

Restrict to specific filing forms. Leave empty for all. Common: 10-K (annual), 10-Q (quarterly), 8-K (material event), S-1 (IPO), 13F (institutional holdings), Form 4 (insider trade), Form D (private placement), DEF 14A (proxy), S-4 (M\&A).

## `date_from` (type: `string`):

Lower bound on filing date (inclusive). Format YYYY-MM-DD. Leave blank for no lower bound.

## `date_to` (type: `string`):

Upper bound on filing date (inclusive). Format YYYY-MM-DD. Leave blank for today.

## `keywords` (type: `array`):

Search terms for full\_text\_search mode. EDGAR full-text index covers filings since 2001. Quote phrases with double quotes.

## `include_8k_trigger_classification` (type: `boolean`):

Detect M\&A, executive change, going-concern, impairment, class-action, restatement, dividend change, debt issuance, customer loss from 8-K Item codes + text. Adds intelligence\_enrichment PPE charge per detection.

## `include_form4_pattern_flags` (type: `boolean`):

Detect cluster buys (3+ insiders same week), unusual size (>2x median for insider), C-suite-only buying, sales after 10b5-1 plan terminations. Adds intelligence\_enrichment PPE charge per detection.

## `include_full_text` (type: `boolean`):

Embed the full filing text in each record. Output records grow large (often 1-10 MB). Adds full\_text\_charge PPE per filing.

## `max_results_per_query` (type: `integer`):

Hard cap on filings returned per ticker/CIK or per keyword query. Default 100.

## `user_agent_contact` (type: `string`):

SEC fair-access policy REQUIRES every request include a User-Agent identifying your project + a contact email. Format: 'AppName your@email.com'. Misidentification will get the actor IP-banned by SEC.

## `use_apify_proxy` (type: `boolean`):

Route SEC EDGAR requests through Apify Proxy. DATACENTER is sufficient — SEC does not block datacenter IPs as long as User-Agent is honest.

## `apify_proxy_groups` (type: `array`):

Apify Proxy groups. DATACENTER is fine for SEC.

## `concurrency` (type: `integer`):

Parallel SEC requests. SEC rate-limits to 10 req/sec; we cap at 8 to stay safe under burst.

## Actor input object example

```json
{
  "mode": "recent_8k",
  "tickers": [
    "AAPL",
    "MSFT",
    "NVDA"
  ],
  "company_names": [],
  "form_types": [],
  "date_from": "",
  "date_to": "",
  "keywords": [],
  "include_8k_trigger_classification": true,
  "include_form4_pattern_flags": true,
  "include_full_text": false,
  "max_results_per_query": 100,
  "user_agent_contact": "research-bot research@example.com",
  "use_apify_proxy": true,
  "apify_proxy_groups": [
    "DATACENTER"
  ],
  "concurrency": 6
}
```

# Actor output Schema

## `datasetItems` (type: `string`):

All filings in the default overview view.

## `datasetItemsDetailed` (type: `string`):

Every metadata + intelligence field for every filing.

## `datasetItems8kTriggers` (type: `string`):

Only filings where an 8-K trigger category was classified (M\&A, going concern, exec change, etc.).

## `datasetItemsCsv` (type: `string`):

Spreadsheet-friendly export of all filings.

# 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 = {
    "mode": "recent_8k",
    "tickers": [
        "AAPL",
        "MSFT",
        "NVDA"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("seibs.co/sec-edgar-intel").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 = {
    "mode": "recent_8k",
    "tickers": [
        "AAPL",
        "MSFT",
        "NVDA",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("seibs.co/sec-edgar-intel").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 '{
  "mode": "recent_8k",
  "tickers": [
    "AAPL",
    "MSFT",
    "NVDA"
  ]
}' |
apify call seibs.co/sec-edgar-intel --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "SEC EDGAR Intel - 8-K Triggers, Form 4 Patterns, Form D Funding",
        "description": "SEC filings intelligence. 8-K trigger classifier (M&A/exec-change/going-concern/etc), Form 4 insider patterns (cluster buys, unusual size), 13F position tracker, Form D startup raises, earnings transcript extraction. For hedge funds, fintech, due diligence, journalists.",
        "version": "0.1",
        "x-build-id": "6OvaIj8BFOOz1Ywtc"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/seibs.co~sec-edgar-intel/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-seibs.co-sec-edgar-intel",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/seibs.co~sec-edgar-intel/runs": {
            "post": {
                "operationId": "runs-sync-seibs.co-sec-edgar-intel",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/seibs.co~sec-edgar-intel/run-sync": {
            "post": {
                "operationId": "run-sync-seibs.co-sec-edgar-intel",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                    "user_agent_contact"
                ],
                "properties": {
                    "mode": {
                        "title": "Mode",
                        "enum": [
                            "company_filings",
                            "recent_8k",
                            "form_4_insider",
                            "form_d_funding",
                            "13f_positions",
                            "full_text_search"
                        ],
                        "type": "string",
                        "description": "company_filings = all filings for given tickers/CIKs. recent_8k = most recent 8-K filings with trigger classification. form_4_insider = insider trades with cluster/unusual-size flags. form_d_funding = startup raise tracker. 13f_positions = institutional holdings + position changes. full_text_search = keyword search across EDGAR full-text index.",
                        "default": "company_filings"
                    },
                    "tickers": {
                        "title": "Tickers or CIK numbers",
                        "type": "array",
                        "description": "Stock tickers (e.g. 'AAPL') or 10-digit CIK numbers (e.g. '0000320193'). Auto-detected per item. Used for company_filings, recent_8k, form_4_insider, 13f_positions modes.",
                        "default": [],
                        "items": {
                            "type": "string"
                        }
                    },
                    "company_names": {
                        "title": "Company names",
                        "type": "array",
                        "description": "Free-text company names to resolve to CIKs (e.g. 'Berkshire Hathaway'). Used as alternative to tickers in company_filings mode.",
                        "default": [],
                        "items": {
                            "type": "string"
                        }
                    },
                    "form_types": {
                        "title": "Form types filter",
                        "uniqueItems": true,
                        "type": "array",
                        "description": "Restrict to specific filing forms. Leave empty for all. Common: 10-K (annual), 10-Q (quarterly), 8-K (material event), S-1 (IPO), 13F (institutional holdings), Form 4 (insider trade), Form D (private placement), DEF 14A (proxy), S-4 (M&A).",
                        "items": {
                            "type": "string",
                            "enum": [
                                "10-K",
                                "10-Q",
                                "8-K",
                                "S-1",
                                "13F-HR",
                                "13G",
                                "13D",
                                "4",
                                "D",
                                "DEF 14A",
                                "S-4"
                            ]
                        },
                        "default": []
                    },
                    "date_from": {
                        "title": "Date from (YYYY-MM-DD)",
                        "type": "string",
                        "description": "Lower bound on filing date (inclusive). Format YYYY-MM-DD. Leave blank for no lower bound.",
                        "default": ""
                    },
                    "date_to": {
                        "title": "Date to (YYYY-MM-DD)",
                        "type": "string",
                        "description": "Upper bound on filing date (inclusive). Format YYYY-MM-DD. Leave blank for today.",
                        "default": ""
                    },
                    "keywords": {
                        "title": "Keywords (full-text search)",
                        "type": "array",
                        "description": "Search terms for full_text_search mode. EDGAR full-text index covers filings since 2001. Quote phrases with double quotes.",
                        "default": [],
                        "items": {
                            "type": "string"
                        }
                    },
                    "include_8k_trigger_classification": {
                        "title": "Classify 8-K material event triggers",
                        "type": "boolean",
                        "description": "Detect M&A, executive change, going-concern, impairment, class-action, restatement, dividend change, debt issuance, customer loss from 8-K Item codes + text. Adds intelligence_enrichment PPE charge per detection.",
                        "default": true
                    },
                    "include_form4_pattern_flags": {
                        "title": "Flag Form 4 insider patterns",
                        "type": "boolean",
                        "description": "Detect cluster buys (3+ insiders same week), unusual size (>2x median for insider), C-suite-only buying, sales after 10b5-1 plan terminations. Adds intelligence_enrichment PPE charge per detection.",
                        "default": true
                    },
                    "include_full_text": {
                        "title": "Include raw filing text in output",
                        "type": "boolean",
                        "description": "Embed the full filing text in each record. Output records grow large (often 1-10 MB). Adds full_text_charge PPE per filing.",
                        "default": false
                    },
                    "max_results_per_query": {
                        "title": "Max results per query/ticker",
                        "minimum": 1,
                        "maximum": 1000,
                        "type": "integer",
                        "description": "Hard cap on filings returned per ticker/CIK or per keyword query. Default 100.",
                        "default": 100
                    },
                    "user_agent_contact": {
                        "title": "User-Agent contact string (REQUIRED by SEC)",
                        "type": "string",
                        "description": "SEC fair-access policy REQUIRES every request include a User-Agent identifying your project + a contact email. Format: 'AppName your@email.com'. Misidentification will get the actor IP-banned by SEC.",
                        "default": "research-bot research@example.com"
                    },
                    "use_apify_proxy": {
                        "title": "Use Apify Proxy",
                        "type": "boolean",
                        "description": "Route SEC EDGAR requests through Apify Proxy. DATACENTER is sufficient — SEC does not block datacenter IPs as long as User-Agent is honest.",
                        "default": true
                    },
                    "apify_proxy_groups": {
                        "title": "Proxy groups",
                        "type": "array",
                        "description": "Apify Proxy groups. DATACENTER is fine for SEC.",
                        "default": [
                            "DATACENTER"
                        ],
                        "items": {
                            "type": "string"
                        }
                    },
                    "concurrency": {
                        "title": "Max concurrent requests",
                        "minimum": 1,
                        "maximum": 8,
                        "type": "integer",
                        "description": "Parallel SEC requests. SEC rate-limits to 10 req/sec; we cap at 8 to stay safe under burst.",
                        "default": 6
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```