# Hiring Signal Monitor: Open Roles & Hiring Velocity (`hamzatrq/hiring-signal-monitor`) Actor

Track open roles and hiring velocity from companies' Greenhouse and Lever job boards as a B2B sales and expansion trigger. New-role and velocity-spike alerts, with a hard cost cap. For sales, recruiting and market research.

- **URL**: https://apify.com/hamzatrq/hiring-signal-monitor.md
- **Developed by:** [Hamza Tariq](https://apify.com/hamzatrq) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 results

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

## Hiring Signal Monitor — track open roles & hiring velocity for sales triggers

Turn a company's hiring into a **sales and expansion signal**. A **hiring signal monitor** /
job-postings **scraper / extractor / data API / feed** that reads companies' public
**Greenhouse** and **Lever** job boards and surfaces the actual SIGNAL — **which functions a
company is hiring for, how fast, and where** — not just raw rows. Every open role is normalized
to one schema with a **normalized function** (Engineering, Sales, Product, …), a real derived
**seniority**, a cleaned **department**, **hiring velocity** (`postedWithinDays` / `isRecent`),
and a best-effort **salary band**. Flip on `groupBy: "company"` for one aggregated **hiring
summary per company** — roles by function, roles posted in the last 30/90 days, top locations,
remote share, and the newest roles. Repeated runs turn it into a **new-role and velocity-spike
monitor** — for B2B sales teams, recruiters, CI/market researchers, and investors tracking
talent demand.

> **Quick Start:** click **Start** with the default input. With zero configuration it pulls
> open roles from a known public Greenhouse board and a known public Lever board and returns
> clean rows — company, role title, **function**, seniority, department, team, employment type,
> location, remote flag, **days since posted** + a **recent** flag, **salary** (when listed),
> open-role count, and the posting link. To track your own target accounts, paste company board
> tokens into **greenhouseTokens** (e.g. `gitlab` — the slug after `boards.greenhouse.io/`)
> and/or **leverTokens** (e.g. `leverdemo` — the slug after `jobs.lever.co/`). Set
> **groupBy** to `company` for one rolled-up hiring-signal summary per company. Narrow the feed
> with the optional filters — **roleKeywords**, **seniority**, **department**,
> **locationIncludes**, **remoteOnly** (all empty = every role). First useful results in under
> two minutes.

### What it does

Greenhouse and Lever expose public, no-auth JSON job boards per company, so the data is clean,
stable, and easy to extract — no browser, no login, and deliberately **not** the anti-bot
Indeed/LinkedIn head. This actor:

- pulls a company's **open roles** with title, cleaned department, team, employment type,
  location, and remote flag;
- enriches every role with a **normalized business function** (Engineering, Product, Design,
  Data & Analytics, Sales, Marketing, Customer Success, Support, Operations, Finance, People &
  HR, Legal, IT, Security, Other), a real derived **seniority** band (intern → executive),
  **hiring velocity** (`postedWithinDays` + an `isRecent` ≤30-day flag), and a best-effort
  **salary band** (from a structured pay field where the board exposes one, else parsed from the
  description);
- normalizes every role across boards to one schema with a stable, board-scoped id and a
  company-level **open-roles** count (a hiring **level** — the budget-and-expansion signal;
  tracked over scheduled runs it becomes the velocity trend);
- with `groupBy: "company"`, aggregates the whole board into **one summary per company** —
  open-role count, **roles by function** and by seniority, top locations, remote share, roles
  posted in the last **30/90 days**, the top functions, and the newest roles;
- on a schedule, becomes a **monitor** — emitting (and charging for) only roles (or company
  summaries) that are **new** or whose details changed since the last run.

The function field is **deterministic-first**: a built-in keyword classifier always populates
it, so the actor works with no setup. Set an optional `AI_API_KEY` (any OpenAI-compatible
endpoint — OpenRouter by default) and a single batched AI call per run refines the function for
each company's bespoke department names; without a key it degrades silently to the
deterministic rules.

### Who it's for

B2B sales teams (hiring is a buying trigger — a company hiring five sales reps is expanding),
recruiters, and market researchers tracking talent demand.

### Sources & roadmap

- **Greenhouse** — live today, via the public board JSON (`boards-api.greenhouse.io`).
- **Lever** — live today, via the public board JSON (`api.lever.co`).
- **Other ATS / niche boards** (Ashby, Workable, vertical boards) — planned follow-ons; the
  schema already carries a `board` field so they slot in without a schema change.

### Input

Runs **zero-config**. Optional fields:

- `greenhouseTokens` — one or more Greenhouse board tokens (the slug in a board URL). Leave
  empty for a demo run on a known public board.
- `leverTokens` — one or more Lever board tokens (the slug in a Lever jobs URL). Leave empty
  for a demo run on a known public board.
- `roleKeywords` — keep only roles whose **title** contains one of these (case-insensitive);
  e.g. `["engineer", "sales"]`. Empty = every role.
- `seniority` — keep only roles whose derived seniority is one of `intern`, `junior`, `mid`,
  `senior`, `lead`, `executive`, `unknown`. Empty = every level.
- `department` — keep only roles whose **department** contains one of these. Empty = every
  department.
- `locationIncludes` — keep only roles whose **location** contains one of these (e.g.
  `["berlin", "remote"]`). Empty = every location.
- `remoteOnly` — when true, keep only roles flagged remote. Default false.
- `groupBy` — `role` (default) = one row per open role with all the enriched fields; `company`
  = one aggregated hiring-signal summary per company.
- `maxItems` — cap on roles returned per run (keeps runs cheap).
- `maxCostPerRunUsd` — hard ceiling on spend per run (default $5).

Optional environment variable: `AI_API_KEY` (+ optional `AI_BASE_URL`, `AI_MODEL`) enables the
AI function-refinement pass. It is never required — the actor produces a full result without it.

All filters are applied at fetch time, so you only pay for the roles you asked for. The boards
have no query API; the actor fetches the public board and drops non-matching roles in-process.

### Output

**`groupBy: "role"` (default)** — one role per row: `company`, `board`, `title`, `function`,
`seniority`, `department`, `team`, `employmentType`, `location`, `remote`, `postedDate`,
`postedWithinDays`, `isRecent`, `salaryMin`, `salaryMax`, `salaryCurrency`, `openRoles`, and the
role `sourceUrl`, plus a stable board-scoped `id` and `kind: "role"`.

**`groupBy: "company"`** — one summary per company: `company`, `board`, `openRoles`,
`rolesByFunction`, `rolesBySeniority`, `topLocations`, `remotePct`, `postedLast30d`,
`postedLast90d`, `topFunctions`, `newestRoles`, the board `sourceUrl`, a company-scoped `id`,
and `kind: "company"`.

See `.actor/dataset_schema.json` (the `overview` and `companies` views).

Notes on fields:

- `function` is a normalized business function from the fixed taxonomy above — deterministic by
  default, AI-refined when `AI_API_KEY` is set.
- `postedWithinDays` is whole days between the posting date and run time; `isRecent` is true at
  ≤30 days. Salary is null on all three fields when the board exposes no structured pay field
  and the description states no pay.
- `openRoles` is the number of open roles on that company's board at fetch time — a hiring
  **level** (identical on every role row from the same board), not a per-run rate. Schedule the
  actor and the change in this level run-over-run is the velocity trend.
- `company` for Lever rows is the **board slug** (e.g. `leverdemo`); Lever's public board JSON
  does not carry a display name. Greenhouse rows carry the real `company_name`.
- `department` is cleaned of any leading internal-ID prefix (e.g. `1195 Account Executives` →
  `Account Executives`). It populates on Greenhouse (via the public board's `departments`) and
  on Lever (native). `team` and `employmentType` are Lever-native and are `null` on Greenhouse.

### Pricing

Pay-per-event: a small start fee plus a per-result charge, with a hard per-run cost cap on by
default — so the bill is never a surprise. In monitor mode you pay only for new or changed
roles. Built on public, stable Greenhouse and Lever board APIs, so it is low-maintenance —
fixes within 24h.

# Actor input Schema

## `greenhouseTokens` (type: `array`):

Greenhouse board tokens (the company slug in a board URL, e.g. gitlab in boards.greenhouse.io/gitlab) to track open roles for. Leave empty for a zero-config demo run on a known public board.
## `leverTokens` (type: `array`):

Lever board tokens (the company slug in a Lever jobs URL, e.g. leverdemo in jobs.lever.co/leverdemo) to track open roles for. Leave empty for a zero-config demo run on a known public board.
## `roleKeywords` (type: `array`):

Keep only roles whose title contains at least one of these (case-insensitive). Empty = every role. E.g. ["engineer", "sales"] to track only engineering and sales hiring.
## `seniority` (type: `array`):

Keep only roles whose derived seniority is one of these. Empty = every level. Allowed: intern, junior, mid, senior, lead, executive, unknown.
## `department` (type: `array`):

Keep only roles whose department contains at least one of these (case-insensitive). Empty = every department. E.g. ["sales"]. Greenhouse departments require the public board to expose them; Lever provides them natively.
## `locationIncludes` (type: `array`):

Keep only roles whose location contains at least one of these (case-insensitive). Empty = every location. E.g. ["berlin", "remote"].
## `groupBy` (type: `string`):

What each output row is. "role" (default) = one row per open role, with cleaned department, normalized function, seniority, hiring velocity (postedWithinDays/isRecent) and salary. "company" = one aggregated hiring-signal summary per company: open-role count, roles by function and seniority, top locations, remote share, roles posted in the last 30/90 days, and the newest roles.
## `remoteOnly` (type: `boolean`):

When true, keep only roles flagged remote (from the board's workplace type or a 'Remote' location). Default false = all roles.
## `maxItems` (type: `integer`):

Upper bound on the number of open roles returned per run (across all boards). Lower it to keep runs cheap; remove it to fetch every open role on the boards.
## `maxCostPerRunUsd` (type: `integer`):

Hard ceiling on spend per run — the run stops before exceeding it, so you are never surprised by the bill.
## `fullSync` (type: `boolean`):

By default this runs as an incremental monitor: a repeat run emits only NEW or CHANGED records (and bills only for those). Turn this on to re-emit the entire current dataset every run — the one-off scraper / full-export use case.

## Actor input object example

```json
{
  "greenhouseTokens": [
    "gitlab",
    "stripe"
  ],
  "leverTokens": [
    "leverdemo",
    "spotify"
  ],
  "roleKeywords": [
    "engineer",
    "sales"
  ],
  "seniority": [
    "senior",
    "lead",
    "executive"
  ],
  "department": [
    "sales",
    "engineering"
  ],
  "locationIncludes": [
    "berlin",
    "remote"
  ],
  "groupBy": "company",
  "remoteOnly": false,
  "maxItems": 500,
  "maxCostPerRunUsd": 5,
  "fullSync": false
}
````

# Actor output Schema

## `results` (type: `string`):

Track open roles and hiring velocity from companies' Greenhouse and Lever job boards as a B2B sales and expansion trigger. New-role and velocity-spike alerts, with a hard cost cap. For sales, recruiting and market research.

# 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 = {
    "greenhouseTokens": [],
    "leverTokens": [],
    "roleKeywords": [],
    "seniority": [],
    "department": [],
    "locationIncludes": [],
    "maxItems": 500,
    "maxCostPerRunUsd": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("hamzatrq/hiring-signal-monitor").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 = {
    "greenhouseTokens": [],
    "leverTokens": [],
    "roleKeywords": [],
    "seniority": [],
    "department": [],
    "locationIncludes": [],
    "maxItems": 500,
    "maxCostPerRunUsd": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("hamzatrq/hiring-signal-monitor").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 '{
  "greenhouseTokens": [],
  "leverTokens": [],
  "roleKeywords": [],
  "seniority": [],
  "department": [],
  "locationIncludes": [],
  "maxItems": 500,
  "maxCostPerRunUsd": 5
}' |
apify call hamzatrq/hiring-signal-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=hamzatrq/hiring-signal-monitor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Hiring Signal Monitor: Open Roles & Hiring Velocity",
        "description": "Track open roles and hiring velocity from companies' Greenhouse and Lever job boards as a B2B sales and expansion trigger. New-role and velocity-spike alerts, with a hard cost cap. For sales, recruiting and market research.",
        "version": "0.0",
        "x-build-id": "wBoVzhMEeZjtZM0lE"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/hamzatrq~hiring-signal-monitor/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-hamzatrq-hiring-signal-monitor",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/hamzatrq~hiring-signal-monitor/runs": {
            "post": {
                "operationId": "runs-sync-hamzatrq-hiring-signal-monitor",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/hamzatrq~hiring-signal-monitor/run-sync": {
            "post": {
                "operationId": "run-sync-hamzatrq-hiring-signal-monitor",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "properties": {
                    "greenhouseTokens": {
                        "title": "Greenhouse board tokens",
                        "type": "array",
                        "description": "Greenhouse board tokens (the company slug in a board URL, e.g. gitlab in boards.greenhouse.io/gitlab) to track open roles for. Leave empty for a zero-config demo run on a known public board.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "leverTokens": {
                        "title": "Lever board tokens",
                        "type": "array",
                        "description": "Lever board tokens (the company slug in a Lever jobs URL, e.g. leverdemo in jobs.lever.co/leverdemo) to track open roles for. Leave empty for a zero-config demo run on a known public board.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "roleKeywords": {
                        "title": "Role keywords (title contains)",
                        "type": "array",
                        "description": "Keep only roles whose title contains at least one of these (case-insensitive). Empty = every role. E.g. [\"engineer\", \"sales\"] to track only engineering and sales hiring.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "seniority": {
                        "title": "Seniority levels",
                        "type": "array",
                        "description": "Keep only roles whose derived seniority is one of these. Empty = every level. Allowed: intern, junior, mid, senior, lead, executive, unknown.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "department": {
                        "title": "Departments (contains)",
                        "type": "array",
                        "description": "Keep only roles whose department contains at least one of these (case-insensitive). Empty = every department. E.g. [\"sales\"]. Greenhouse departments require the public board to expose them; Lever provides them natively.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "locationIncludes": {
                        "title": "Locations (contains)",
                        "type": "array",
                        "description": "Keep only roles whose location contains at least one of these (case-insensitive). Empty = every location. E.g. [\"berlin\", \"remote\"].",
                        "items": {
                            "type": "string"
                        }
                    },
                    "groupBy": {
                        "title": "Output shape",
                        "enum": [
                            "role",
                            "company"
                        ],
                        "type": "string",
                        "description": "What each output row is. \"role\" (default) = one row per open role, with cleaned department, normalized function, seniority, hiring velocity (postedWithinDays/isRecent) and salary. \"company\" = one aggregated hiring-signal summary per company: open-role count, roles by function and seniority, top locations, remote share, roles posted in the last 30/90 days, and the newest roles.",
                        "default": "role"
                    },
                    "remoteOnly": {
                        "title": "Remote roles only",
                        "type": "boolean",
                        "description": "When true, keep only roles flagged remote (from the board's workplace type or a 'Remote' location). Default false = all roles.",
                        "default": false
                    },
                    "maxItems": {
                        "title": "Max roles per run",
                        "type": "integer",
                        "description": "Upper bound on the number of open roles returned per run (across all boards). Lower it to keep runs cheap; remove it to fetch every open role on the boards.",
                        "default": 500
                    },
                    "maxCostPerRunUsd": {
                        "title": "Max cost per run (USD)",
                        "type": "integer",
                        "description": "Hard ceiling on spend per run — the run stops before exceeding it, so you are never surprised by the bill.",
                        "default": 5
                    },
                    "fullSync": {
                        "title": "Full sync (re-scrape everything)",
                        "type": "boolean",
                        "description": "By default this runs as an incremental monitor: a repeat run emits only NEW or CHANGED records (and bills only for those). Turn this on to re-emit the entire current dataset every run — the one-off scraper / full-export use case.",
                        "default": false
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```