# Toolstem Financial Data (`toolstem/toolstem-mcp-server`) Actor

Agent-ready financial intelligence MCP tools. Stock snapshots, deep company metrics, stock screening, and side-by-side company comparison — all with derived signals and pre-computed math. Designed for AI agents, not raw API passthrough.

- **URL**: https://apify.com/toolstem/toolstem-mcp-server.md
- **Developed by:** [Toolstem](https://apify.com/toolstem) (community)
- **Categories:** AI, Agents, MCP servers
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 financial data queries

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

## Toolstem MCP Server

[![npm version](https://img.shields.io/npm/v/toolstem-mcp-server)](https://www.npmjs.com/package/toolstem-mcp-server)
[![MCP Registry](https://img.shields.io/badge/MCP_Registry-active-teal)](https://registry.modelcontextprotocol.io)
[![Apify Store](https://img.shields.io/badge/Apify_Store-$0.005%2Fcall-blue)](https://apify.com/toolstem/toolstem-mcp-server)
[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](./LICENSE)

**Agent-ready financial intelligence tools — curated, not raw.**

Toolstem is an MCP (Model Context Protocol) server that turns raw financial market data into curated, synthesized intelligence for AI agents. Unlike passthrough wrappers that just expose a vendor's REST API, every Toolstem tool **combines multiple data sources**, **derives signals**, and **pre-computes the math** an agent would otherwise have to do itself.

One call. One agent-friendly JSON response. No nested arrays to parse, no cross-endpoint stitching, no null-checking boilerplate.

---

### Why Toolstem?

Most financial MCP servers expose one tool per API endpoint — forcing your agent to make 4–5 sequential calls, write glue code, and reason about raw data shapes. Toolstem is built differently:

- **Parallel data fetching** — every tool fans out to multiple sources concurrently.
- **Derived signals** — human-readable recommendations like `UNDERVALUED`, `STRONG`, `ACCELERATING` computed from raw numbers.
- **Pre-computed math** — CAGRs, YoY growth, margin trends, distance from 52-week high/low, FCF yield, and more are already in the response.
- **Flat, predictable schema** — no deeply nested vendor quirks leaking into agent prompts.
- **Graceful degradation** — if one upstream endpoint fails, the rest of the response still comes through with nulls in place.

---

### Tools

#### `get_stock_snapshot`

Comprehensive stock overview combining quote, profile, DCF valuation, and rating into a single response.

**Input:**

```json
{
  "symbol": "AAPL"
}
````

**Example output (truncated):**

```json
{
  "symbol": "AAPL",
  "company_name": "Apple Inc.",
  "sector": "Technology",
  "industry": "Consumer Electronics",
  "exchange": "NASDAQ",
  "price": {
    "current": 178.52,
    "change": 2.34,
    "change_percent": 1.33,
    "day_high": 179.80,
    "day_low": 175.10,
    "year_high": 199.62,
    "year_low": 130.20,
    "distance_from_52w_high_percent": -10.57,
    "distance_from_52w_low_percent": 37.11
  },
  "valuation": {
    "market_cap": 2780000000000,
    "market_cap_readable": "$2.78T",
    "pe_ratio": 29.5,
    "dcf_value": 195.20,
    "dcf_upside_percent": 9.35,
    "dcf_signal": "FAIRLY VALUED"
  },
  "rating": {
    "score": 4,
    "recommendation": "Buy",
    "dcf_score": 5,
    "roe_score": 4,
    "roa_score": 4,
    "de_score": 5,
    "pe_score": 3
  },
  "fundamentals_summary": {
    "beta": 1.28,
    "avg_volume": 55000000,
    "employees": 164000,
    "ipo_date": "1980-12-12",
    "description": "Apple Inc. designs, manufactures..."
  },
  "meta": {
    "source": "Toolstem via Financial Modeling Prep",
    "timestamp": "2026-04-17T18:30:00Z",
    "data_delay": "End of day"
  }
}
```

**Derived fields (not in raw APIs):**

- `dcf_signal` — `UNDERVALUED` if DCF upside > 10%, `OVERVALUED` if < -10%, else `FAIRLY VALUED`.
- `market_cap_readable` — human-friendly `$2.78T`, `$450.2B`, `$12.5M` format.
- `distance_from_52w_high_percent` / `distance_from_52w_low_percent` — pre-computed range position.

***

#### `get_company_metrics`

Deep fundamentals analysis — profitability, financial health, cash flow, growth, and per-share metrics — synthesized from 5 financial statements endpoints.

**Input:**

```json
{
  "symbol": "AAPL",
  "period": "annual"
}
```

`period` accepts `annual` (default) or `quarter`.

**Example output (truncated):**

```json
{
  "symbol": "AAPL",
  "period": "annual",
  "latest_period_date": "2025-09-30",
  "profitability": {
    "revenue": 394328000000,
    "revenue_readable": "$394.3B",
    "revenue_growth_yoy": 7.8,
    "net_income": 96995000000,
    "net_income_readable": "$97.0B",
    "gross_margin": 46.2,
    "operating_margin": 31.5,
    "net_margin": 24.6,
    "roe": 160.5,
    "roa": 28.3,
    "roic": 56.2,
    "margin_trend": "EXPANDING"
  },
  "financial_health": {
    "total_debt": 111000000000,
    "total_cash": 65000000000,
    "net_debt": 46000000000,
    "debt_to_equity": 1.87,
    "current_ratio": 1.07,
    "interest_coverage": 41.2,
    "health_signal": "STRONG"
  },
  "cash_flow": {
    "operating_cash_flow": 118000000000,
    "free_cash_flow": 104000000000,
    "free_cash_flow_readable": "$104.0B",
    "fcf_margin": 26.4,
    "capex": 14000000000,
    "dividends_paid": 15000000000,
    "buybacks": 89000000000,
    "fcf_yield": 3.7
  },
  "growth_3yr": {
    "revenue_cagr": 8.2,
    "net_income_cagr": 10.1,
    "fcf_cagr": 9.5,
    "growth_signal": "ACCELERATING"
  },
  "per_share": {
    "eps": 6.42,
    "book_value_per_share": 3.99,
    "fcf_per_share": 6.89,
    "dividend_per_share": 0.96,
    "payout_ratio": 14.9
  },
  "meta": {
    "source": "Toolstem via Financial Modeling Prep",
    "timestamp": "2026-04-17T18:30:00Z",
    "periods_analyzed": 3,
    "data_delay": "End of day"
  }
}
```

**Derived fields:**

- `margin_trend` — `EXPANDING`, `STABLE`, or `CONTRACTING` based on net margin series direction.
- `health_signal` — `STRONG`, `ADEQUATE`, or `WEAK` from debt-to-equity, current ratio, and interest coverage.
- `growth_signal` — `ACCELERATING`, `STEADY`, or `DECELERATING` based on YoY growth trajectory.
- `revenue_cagr`, `net_income_cagr`, `fcf_cagr` — compound annual growth rates over the analyzed window.
- `fcf_margin`, `fcf_yield` — pre-computed from cash flow + revenue + market cap.

***

#### `screen_stocks` — temporarily disabled (returning in v1.3)

`screen_stocks` is not exposed in v1.2.2. FMP's `/stable/batch-quote` endpoint, which powered the previous implementation, now requires a paid subscription (HTTP 402 on free tier). A refactored version built on the free-tier-available `/api/v3/stock-screener` endpoint will ship in v1.3 with better filter coverage (`industry`, `beta`, `dividend`, `country`) and 10× lower FMP quota usage.

***

#### `compare_companies`

Side-by-side comparison of 2–5 companies across price, valuation, profitability, financial health, growth, dividends, and analyst ratings.

**Input:**

```json
{
  "symbols": ["AAPL", "MSFT", "GOOGL"]
}
```

**Example output (truncated):**

```json
{
  "symbols_compared": ["AAPL", "MSFT", "GOOGL"],
  "comparison_date": "2026-04-20T18:30:00Z",
  "companies": [
    {
      "symbol": "AAPL",
      "company_name": "Apple Inc.",
      "sector": "Technology",
      "price": { "current": 178.52, "change_percent": 1.33 },
      "valuation": { "pe_ratio": 29.5, "dcf_upside_percent": 9.35 },
      "profitability": { "net_margin": 24.6, "roe": 160.5, "roic": 56.2 },
      "financial_health": { "debt_to_equity": 1.87, "current_ratio": 1.07 },
      "growth": { "revenue_growth_yoy": 7.8, "earnings_growth_yoy": 10.1 },
      "dividend": { "dividend_yield": 0.5, "payout_ratio": 14.9 },
      "rating": { "score": 4, "recommendation": "Buy" }
    }
  ],
  "rankings": {
    "lowest_pe": "GOOGL",
    "highest_margin": "AAPL",
    "strongest_balance_sheet": "GOOGL",
    "best_growth": "MSFT",
    "most_undervalued": "GOOGL",
    "highest_rated": "MSFT"
  },
  "meta": {
    "source": "Toolstem via Financial Modeling Prep",
    "timestamp": "2026-04-20T18:30:00Z",
    "data_delay": "Real-time during market hours",
    "api_calls_made": 19
  }
}
```

**Derived fields:**

- `rankings` — automatically computed: `lowest_pe`, `highest_margin`, `strongest_balance_sheet`, `best_growth`, `most_undervalued`, `highest_rated`.
- All valuation, profitability, health, and growth metrics pre-computed per company.
- Uses batch quote for efficient multi-symbol price retrieval.

***

### Installation

#### npm

```bash
npm install -g toolstem-mcp-server
```

Run as stdio server:

```bash
FMP_API_KEY=your_key_here toolstem-mcp-server
```

Run as HTTP (Streamable HTTP transport) server:

```bash
FMP_API_KEY=your_key_here PORT=3000 toolstem-mcp-server --http
```

#### Claude Desktop

Add to your `claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "toolstem": {
      "command": "npx",
      "args": ["-y", "toolstem-mcp-server"],
      "env": {
        "FMP_API_KEY": "your_fmp_api_key"
      }
    }
  }
}
```

#### Apify

Available on the Apify Store as the `toolstem-financial-data` Actor. Call it from your Apify workflow with input:

```json
{
  "tool": "get_stock_snapshot",
  "symbol": "AAPL"
}
```

or

```json
{
  "tool": "compare_companies",
  "symbols": ["AAPL", "MSFT", "GOOGL"]
}
```

Results are pushed to the default dataset. The actor monetizes per tool call via Apify's Pay-Per-Event model.

#### Self-hosting (Cloudflare Workers / any Node runtime)

Build and run the HTTP transport:

```bash
npm install
npm run build
FMP_API_KEY=your_key npm run start:http
```

Your MCP client can then connect to `POST http://your-host:3000/mcp`.

***

### Environment Variables

| Variable | Required | Description |
|----------|----------|-------------|
| `FMP_API_KEY` | Yes | Financial Modeling Prep API key. Get one at [financialmodelingprep.com](https://financialmodelingprep.com). |
| `PORT` | No | Port for HTTP transport. Defaults to `3000`. |

***

### Development

```bash
npm install
npm run dev           ## stdio, hot reload via tsx
npm run build         ## TypeScript -> dist/
npm start             ## run built stdio server
npm run start:http    ## run built HTTP server
```

***

### Architecture

```
src/
├── index.ts          ## MCP server entry (stdio + Streamable HTTP)
├── actor.ts          ## Apify Actor entry
├── services/
│   └── fmp.ts        ## Financial Modeling Prep API client
├── tools/
│   ├── get-stock-snapshot.ts
│   ├── get-company-metrics.ts
│   ├── screen-stocks.ts       ## disabled in v1.2.2, returning in v1.3
│   └── compare-companies.ts
├── data/
│   └── universe.ts   ## Russell 1000 universe (for the v1.3 screener refactor)
└── utils/
    └── formatting.ts ## Market cap formatting, CAGR, trend signals
```

All FMP endpoints are wrapped in a single `FmpClient` class. Tool implementations fan out to multiple client methods in parallel via `Promise.all`, then synthesize the merged result.

***

### License

MIT — see [LICENSE](./LICENSE).

***

**Toolstem** — curated financial intelligence for the agent-native economy.

# Actor input Schema

## `tool` (type: `string`):

Which tool to run

## `symbol` (type: `string`):

Stock ticker symbol for get\_stock\_snapshot and get\_company\_metrics (e.g., AAPL, MSFT, TSLA)

## `period` (type: `string`):

Reporting period (for get\_company\_metrics only)

## `symbols` (type: `array`):

2-5 stock ticker symbols for compare\_companies (e.g., \["AAPL", "MSFT", "GOOGL"])

## Actor input object example

```json
{
  "tool": "get_stock_snapshot",
  "symbol": "AAPL",
  "period": "annual"
}
```

# 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 = {
    "symbol": "AAPL"
};

// Run the Actor and wait for it to finish
const run = await client.actor("toolstem/toolstem-mcp-server").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 = { "symbol": "AAPL" }

# Run the Actor and wait for it to finish
run = client.actor("toolstem/toolstem-mcp-server").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 '{
  "symbol": "AAPL"
}' |
apify call toolstem/toolstem-mcp-server --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Toolstem Financial Data",
        "description": "Agent-ready financial intelligence MCP tools. Stock snapshots, deep company metrics, stock screening, and side-by-side company comparison — all with derived signals and pre-computed math. Designed for AI agents, not raw API passthrough.",
        "version": "0.0",
        "x-build-id": "FeCVdzlarVGfxRNGd"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/toolstem~toolstem-mcp-server/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-toolstem-toolstem-mcp-server",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/toolstem~toolstem-mcp-server/runs": {
            "post": {
                "operationId": "runs-sync-toolstem-toolstem-mcp-server",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/toolstem~toolstem-mcp-server/run-sync": {
            "post": {
                "operationId": "run-sync-toolstem-toolstem-mcp-server",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "tool"
                ],
                "properties": {
                    "tool": {
                        "title": "Tool",
                        "enum": [
                            "get_stock_snapshot",
                            "get_company_metrics",
                            "compare_companies"
                        ],
                        "type": "string",
                        "description": "Which tool to run",
                        "default": "get_stock_snapshot"
                    },
                    "symbol": {
                        "title": "Stock Symbol",
                        "type": "string",
                        "description": "Stock ticker symbol for get_stock_snapshot and get_company_metrics (e.g., AAPL, MSFT, TSLA)"
                    },
                    "period": {
                        "title": "Period",
                        "enum": [
                            "annual",
                            "quarter"
                        ],
                        "type": "string",
                        "description": "Reporting period (for get_company_metrics only)",
                        "default": "annual"
                    },
                    "symbols": {
                        "title": "Symbols to Compare",
                        "type": "array",
                        "description": "2-5 stock ticker symbols for compare_companies (e.g., [\"AAPL\", \"MSFT\", \"GOOGL\"])",
                        "items": {
                            "type": "string"
                        }
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```