# Web Tech-Stack & New-Domain Sales-Trigger Intel (`seibs.co/tech-stack-intel`) Actor

Detect any website's tech stack (CMS, ecommerce, analytics, marketing, frameworks, hosting, payment, ads) by fingerprinting public pages, plus new-domain + tech-change sales triggers via monitor mode. A BuiltWith/Wappalyzer-style detector with change detection for B2B sales, martech, and agencies.

- **URL**: https://apify.com/seibs.co/tech-stack-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, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 domain records

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

## Web Tech-Stack & New-Domain Sales-Trigger Intel

Detect what technology any website runs - CMS, ecommerce platform, analytics,
marketing/email tools, JS frameworks, hosting/CDN, payment, web server, chat
widgets, ad pixels, fonts - by fingerprinting its **public, logged-out** pages.
Then turn that into **B2B sales triggers**: which prospects just adopted Shopify,
added Klaviyo, dropped HubSpot, or just registered a brand-new domain.

This is the BuiltWith / Wappalyzer layer (their datasets and APIs are paid; bulk
WHOIS is gated post-GDPR) packaged as a pay-per-use Apify actor, with the two
things that actually move a sales pipeline: a **maintained fingerprint ruleset**
and **change detection over time**.

> Cross-sells with [B2B Sales Triggers](https://apify.com/seibs.co/b2b-sales-triggers)
> (tech adoption is a buying signal) and
> [Shopify Store Discovery](https://apify.com/seibs.co) (this extends detection
> from Shopify-only to the whole web).

---

### What you get

For each domain, a normalized record:

```jsonc
{
  "domain": "allbirds.com",
  "url": "https://allbirds.com/",
  "http_status": 200,
  "fetch_tier": "http",
  "page_title": "Allbirds - Wool Runners",
  "technologies": [
    { "name": "Shopify", "category": "ecommerce", "confidence": "high",
      "version": null, "evidence": "header:X-ShopId: 12345", "website": "shopify.com" },
    { "name": "Klaviyo", "category": "marketing", "confidence": "high", ... }
  ],
  "technologies_by_category": {
    "ecommerce": ["Shopify"], "marketing": ["Klaviyo"],
    "analytics": ["Google Analytics 4", "Google Tag Manager"], ...
  },
  "tech_count": 7,
  "categories_detected": ["advertising", "analytics", "ecommerce", ...],
  "registration": {                       // when include_registration / new_domain_intel
    "created_date": "2014-03-22", "registrar": "GoDaddy.com, LLC",
    "nameservers": ["ns1...","ns2..."], "domain_age_days": 4465,
    "is_new_domain": false, "rdap_available": true
  },
  "new_domain_trigger": false,
  "tech_added": ["Klaviyo"],              // monitor mode: vs the previous run
  "tech_removed": [],
  "change_detected": true,
  "matches_target": true,                 // find_by_technology mode
  "matched_target_technologies": ["Shopify"]
}
````

***

### Modes

| Mode | What it does | Charges |
|---|---|---|
| `tech_stack` | Full tech fingerprint for each domain (default). | `domain_record` + `tech_stack_enrichment` |
| `find_by_technology` | Fingerprint, then flag the domains that run one of your `target_technologies` ("everyone running Klaviyo"). Emits a summary record listing the matching domains. | `domain_record` + `tech_stack_enrichment` |
| `new_domain_intel` | RDAP registration lookup + new-domain trigger flag. Detection optional. | `domain_record` + `new_domain_trigger` |
| `tech_change_monitor` | Re-fingerprint a watchlist and diff each domain's tech set vs the previous scheduled run ("just adopted Shopify"). | `domain_record` + `tech_stack_enrichment` + `scheduled_delta_run` |

#### Find-by-technology is honest about the gate

A *whole-web* reverse index ("every site on the internet running Shopify") is the
paid BuiltWith database. This actor instead checks the **candidate domain list you
supply** against a target technology - perfect for qualifying a prospect list,
an export from another lead-finder, or a competitor's customer page. The value is
the ruleset and the change detection, not a copy of BuiltWith's crawl.

***

### Input

```jsonc
{
  "mode": "tech_stack",
  "domains": ["shopify.com", "https://www.basecamp.com"],
  "target_technologies": ["Shopify", "Klaviyo"],   // find_by_technology mode
  "include_tech_detection": true,
  "include_registration": false,                    // adds RDAP + new_domain_trigger
  "min_confidence": "low",                           // high | medium | low
  "new_domain_days": 90,
  "enable_browser_escalation": false,
  "monitor_webhook_url": "",                         // Slack/email for scheduled runs
  "use_apify_proxy": true,
  "apify_proxy_groups": ["DATACENTER"],
  "concurrency": 4
}
```

Only `mode` is required. Provide `domains` to get real data; with none, the actor
returns clearly-labeled sample output (demo mode) instead of failing.

***

### How detection works

The fingerprint engine (`src/fingerprint.py`) is 100% offline and deterministic.
The fetcher hands it the page's **HTML body**, the **`<script src>` URLs**, the
**HTTP response headers**, and the **Set-Cookie names**; each technology rule is a
set of signals (`html`, `script`, `header`, `header_name`, `cookie`, `meta`,
`url`) with a confidence. We keep the single strongest signal per technology and
capture a version where the signal exposes one (WordPress 6.5, jQuery 3.7.1,
nginx 1.25, Angular 17).

`min_confidence` trades coverage for precision: `high` uses only response
headers, unique vendor scripts, and `<meta generator>`; `low` adds weaker HTML
heuristics. Categories: `cms`, `ecommerce`, `analytics`, `marketing`,
`framework`, `hosting`, `payment`, `web_server`, `widget`, `advertising`,
`fonts`, `security`.

#### Anti-bot escalation ladder

1. **httpx** over DATACENTER proxy - default, clears most sites.
2. **curl\_cffi** Chrome-TLS impersonation over RESIDENTIAL proxy - defeats
   JA3/TLS-fingerprint WAFs that 403 a plain request.
3. **Playwright** headless browser (opt-in via `enable_browser_escalation`) - for
   JS / Cloudflare-interstitial pages. Skipped cleanly if not installed.

If every tier is blocked the domain record is emitted with `available: false` and
a documented `reason` - the run still finishes SUCCEEDED.

***

### Tech-change monitoring (the recurring value)

Save your input as a **Task**, then attach a **Schedule** (daily/weekly). On each
scheduled run the actor re-fingerprints your watchlist, diffs each domain's tech
set against the previous run, and emits a `monitor_digest` plus per-domain
`tech_added` / `tech_removed`. Set `monitor_webhook_url` to push the digest to
Slack. That's your "alert me when a prospect adopts/drops a technology" feed.

***

### Pricing (pay-per-event)

| Event | Price | When |
|---|---|---|
| `domain_record` | $0.004 | Per domain fetched and processed. |
| `tech_stack_enrichment` | $0.008 | Per domain where one or more technologies are detected. |
| `new_domain_trigger` | $0.010 | Per domain RDAP registration lookup. |
| `scheduled_delta_run` | $0.010 | Per scheduled monitor run that produces a change digest. |

A plain `tech_stack` run on a domain that returns technologies costs
$0.004 + $0.008 = $0.012.

***

### Responsible use (legal-safety)

- **Public pages only.** We fetch each site's own homepage / public path,
  logged-out. No accounts, no user-supplied cookies, no paywalls, no form
  submission, no interaction.
- **Polite.** Per-request spacing and a capped concurrency; one homepage fetch
  per domain by default.
- **PII-minimized.** Registration intel uses RDAP and takes only dates,
  registrar, nameservers, and statuses - never registrant contact details
  (which are GDPR-redacted anyway). No personal data is enriched or stored.
- **Detection is inference**, not ground truth - confidence levels are provided
  so you can filter. Use the output for sales/martech research and qualification;
  do not treat a detection as a security audit.

***

### MCP twin

For AI agents, the paired [MCP server](https://apify.com/seibs.co/mcp-tech-stack-intel)
exposes `detect_tech_stack`, `check_technology`, `bulk_tech_lookup`,
`get_domain_registration`, and `find_tech_users` as Model Context Protocol tools
(x402 / Skyfire ready).

# Actor input Schema

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

tech\_stack = full tech fingerprint for each domain. find\_by\_technology = fingerprint then flag domains running one of your target technologies. new\_domain\_intel = RDAP registration + new-domain trigger. tech\_change\_monitor = re-fingerprint a watchlist and diff vs the last scheduled run (added/removed tech).

## `domains` (type: `array`):

Domains (e.g. 'shopify.com') or full URLs (e.g. 'https://www.example.com'). Bare domains are normalized (scheme/path/www stripped). Hard cap of 200 to control compute cost.

## `target_technologies` (type: `array`):

Technology names to filter on in find\_by\_technology mode, e.g. \['Shopify', 'Klaviyo', 'HubSpot']. A domain matches if it runs any one of them. Hard cap of 20. Use exact names from the ruleset (see README).

## `include_tech_detection` (type: `boolean`):

Run the tech-stack fingerprint on each fetched page. Adds a tech\_stack\_enrichment charge per domain where one or more technologies are detected. Default on (off only makes sense for pure new\_domain\_intel runs).

## `include_registration` (type: `boolean`):

Look up public RDAP registration data (creation/expiry dates, registrar, nameservers, domain age, new-domain flag). PII-minimized: dates + registrar + nameservers only, never registrant contact details. Adds a new\_domain\_trigger charge per domain. Always on for new\_domain\_intel mode.

## `min_confidence` (type: `string`):

Drop detections below this confidence. 'high' = response headers / unique vendor scripts / meta-generator only. 'medium' = + strong HTML signals. 'low' = + weak heuristics (most coverage, some false positives).

## `new_domain_days` (type: `integer`):

A domain registered within this many days is flagged is\_new\_domain = true (the sales trigger). Default 90.

## `enable_browser_escalation` (type: `boolean`):

Allow escalation to a headless browser for JS/Cloudflare-interstitial pages when httpx and the TLS-impersonation tier are both blocked. Slower and heavier; off by default (httpx + curl\_cffi clears most sites).

## `monitor_webhook_url` (type: `string`):

Optional. When this actor runs as a saved Task/Schedule, post the tech-change delta digest to this Slack (or email-relay) webhook URL.

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

Route page fetches through Apify Proxy. DATACENTER is used for the default httpx tier; RESIDENTIAL (if available on your plan) is used for the anti-bot escalation tiers.

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

Apify Proxy groups for the default httpx tier. DATACENTER is fine for most sites.

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

Parallel page fetches. Kept polite (per-request spacing) and capped at 8 to respect target sites.

## Actor input object example

```json
{
  "mode": "tech_stack",
  "domains": [
    "shopify.com",
    "basecamp.com"
  ],
  "target_technologies": [
    "Shopify"
  ],
  "include_tech_detection": true,
  "include_registration": false,
  "min_confidence": "low",
  "new_domain_days": 90,
  "enable_browser_escalation": false,
  "monitor_webhook_url": "",
  "use_apify_proxy": true,
  "apify_proxy_groups": [
    "DATACENTER"
  ],
  "concurrency": 4
}
```

# Actor output Schema

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

Narrow, token-efficient slice of every record. Consumer: LLM agents (Claude, GPT, LangChain tools), MCP hosts, dashboards. Fields: domain, tech by category, tech count, new-domain/changed/matches-target flags, URL, fetched date.

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

All fields for every record, including per-technology evidence and full RDAP registration. Consumer: humans browsing in the Apify UI, RAG ingest pipelines, full backups.

## `datasetItemsUnwind` (type: `string`):

Each detected technology promoted to its own row. Consumer: Zapier / Make / n8n / Google Sheets users who want one row per technology, and LLM agents that prefer flat rows over nested arrays.

## `datasetItemsMcp` (type: `string`):

First 50 overview records as a clean JSON array. Wrap on the agent side in an MCP tool-call response envelope, e.g. `{ "ok": true, "data": <this array>, "meta": { "actor": "tech-stack-intel", "count": <len>, "view": "overview" } }`. Consumer: MCP servers, Claude Desktop, Cursor, OpenAI Assistants tool calls.

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

Spreadsheet-friendly export of the overview view. Consumer: humans, sales-ops teams, Excel / Google Sheets users.

# 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": "tech_stack",
    "domains": [
        "shopify.com",
        "basecamp.com"
    ],
    "target_technologies": [
        "Shopify"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("seibs.co/tech-stack-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": "tech_stack",
    "domains": [
        "shopify.com",
        "basecamp.com",
    ],
    "target_technologies": ["Shopify"],
}

# Run the Actor and wait for it to finish
run = client.actor("seibs.co/tech-stack-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": "tech_stack",
  "domains": [
    "shopify.com",
    "basecamp.com"
  ],
  "target_technologies": [
    "Shopify"
  ]
}' |
apify call seibs.co/tech-stack-intel --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Web Tech-Stack & New-Domain Sales-Trigger Intel",
        "description": "Detect any website's tech stack (CMS, ecommerce, analytics, marketing, frameworks, hosting, payment, ads) by fingerprinting public pages, plus new-domain + tech-change sales triggers via monitor mode. A BuiltWith/Wappalyzer-style detector with change detection for B2B sales, martech, and agencies.",
        "version": "0.1",
        "x-build-id": "zCh0e7Ifvb8c0xJGb"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/seibs.co~tech-stack-intel/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-seibs.co-tech-stack-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/seibs.co~tech-stack-intel/runs": {
            "post": {
                "operationId": "runs-sync-seibs.co-tech-stack-intel",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/seibs.co~tech-stack-intel/run-sync": {
            "post": {
                "operationId": "run-sync-seibs.co-tech-stack-intel",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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"
                ],
                "properties": {
                    "mode": {
                        "title": "Mode",
                        "enum": [
                            "tech_stack",
                            "find_by_technology",
                            "new_domain_intel",
                            "tech_change_monitor"
                        ],
                        "type": "string",
                        "description": "tech_stack = full tech fingerprint for each domain. find_by_technology = fingerprint then flag domains running one of your target technologies. new_domain_intel = RDAP registration + new-domain trigger. tech_change_monitor = re-fingerprint a watchlist and diff vs the last scheduled run (added/removed tech).",
                        "default": "tech_stack"
                    },
                    "domains": {
                        "title": "Domains or URLs",
                        "maxItems": 200,
                        "type": "array",
                        "description": "Domains (e.g. 'shopify.com') or full URLs (e.g. 'https://www.example.com'). Bare domains are normalized (scheme/path/www stripped). Hard cap of 200 to control compute cost.",
                        "default": [],
                        "items": {
                            "type": "string"
                        }
                    },
                    "target_technologies": {
                        "title": "Target technologies (find_by_technology mode)",
                        "maxItems": 20,
                        "type": "array",
                        "description": "Technology names to filter on in find_by_technology mode, e.g. ['Shopify', 'Klaviyo', 'HubSpot']. A domain matches if it runs any one of them. Hard cap of 20. Use exact names from the ruleset (see README).",
                        "default": [],
                        "items": {
                            "type": "string"
                        }
                    },
                    "include_tech_detection": {
                        "title": "Detect technologies",
                        "type": "boolean",
                        "description": "Run the tech-stack fingerprint on each fetched page. Adds a tech_stack_enrichment charge per domain where one or more technologies are detected. Default on (off only makes sense for pure new_domain_intel runs).",
                        "default": true
                    },
                    "include_registration": {
                        "title": "Include domain registration intel (RDAP)",
                        "type": "boolean",
                        "description": "Look up public RDAP registration data (creation/expiry dates, registrar, nameservers, domain age, new-domain flag). PII-minimized: dates + registrar + nameservers only, never registrant contact details. Adds a new_domain_trigger charge per domain. Always on for new_domain_intel mode.",
                        "default": false
                    },
                    "min_confidence": {
                        "title": "Minimum detection confidence",
                        "enum": [
                            "high",
                            "medium",
                            "low"
                        ],
                        "type": "string",
                        "description": "Drop detections below this confidence. 'high' = response headers / unique vendor scripts / meta-generator only. 'medium' = + strong HTML signals. 'low' = + weak heuristics (most coverage, some false positives).",
                        "default": "low"
                    },
                    "new_domain_days": {
                        "title": "New-domain threshold (days)",
                        "minimum": 1,
                        "maximum": 3650,
                        "type": "integer",
                        "description": "A domain registered within this many days is flagged is_new_domain = true (the sales trigger). Default 90.",
                        "default": 90
                    },
                    "enable_browser_escalation": {
                        "title": "Enable browser (Playwright) escalation tier",
                        "type": "boolean",
                        "description": "Allow escalation to a headless browser for JS/Cloudflare-interstitial pages when httpx and the TLS-impersonation tier are both blocked. Slower and heavier; off by default (httpx + curl_cffi clears most sites).",
                        "default": false
                    },
                    "monitor_webhook_url": {
                        "title": "Monitor webhook URL (Slack/email)",
                        "type": "string",
                        "description": "Optional. When this actor runs as a saved Task/Schedule, post the tech-change delta digest to this Slack (or email-relay) webhook URL.",
                        "default": ""
                    },
                    "use_apify_proxy": {
                        "title": "Use Apify Proxy",
                        "type": "boolean",
                        "description": "Route page fetches through Apify Proxy. DATACENTER is used for the default httpx tier; RESIDENTIAL (if available on your plan) is used for the anti-bot escalation tiers.",
                        "default": true
                    },
                    "apify_proxy_groups": {
                        "title": "Proxy groups (tier 1)",
                        "type": "array",
                        "description": "Apify Proxy groups for the default httpx tier. DATACENTER is fine for most sites.",
                        "default": [
                            "DATACENTER"
                        ],
                        "items": {
                            "type": "string"
                        }
                    },
                    "concurrency": {
                        "title": "Max concurrent fetches",
                        "minimum": 1,
                        "maximum": 8,
                        "type": "integer",
                        "description": "Parallel page fetches. Kept polite (per-request spacing) and capped at 8 to respect target sites.",
                        "default": 4
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```