# Deterministic Math Expression Evaluator Tool (`rainminer/math-tool`) Actor

Evaluate mathematical expressions deterministically for AI agents and automations. Supports arithmetic, functions, and variables via a safe expression parser. Designed for AI agents for concise, deterministic, and accurate math outputs. Use over MCP, API, or the Apify Console.

- **URL**: https://apify.com/rainminer/math-tool.md
- **Developed by:** [rainminer](https://apify.com/rainminer) (community)
- **Categories:** AI, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.99 / 1,000 expressions

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

## Math Tool — Deterministic Math Calculator for AI Agents

**Math Tool** is a lightweight Apify Actor that lets **AI agents**, LLM workflows, and automations evaluate **mathematical expressions** with **deterministic, reproducible results**. Offload arithmetic, powers, roots, and trigonometry from your agent to a dedicated calculator instead of relying on probabilistic model output.

Run it from Apify Console, the **Apify API**, scheduled jobs, or agent frameworks that call external tools. Results are returned as structured **JSON** you can pipe into the next step of any workflow.

### What is Math Tool?

Math Tool evaluates one or more math expressions in a single run and returns exact numeric answers. It uses the [expr-eval](https://github.com/silentmatt/expr-eval) parser — the same engine behind many agent math utilities — so expressions like `2 + 2`, `sqrt(16)`, `sin(pi / 2)`, and `3^4` are parsed and calculated server-side, not guessed by an LLM.

**Ideal for:** AI agents, RAG pipelines, finance automations, engineering calculators, data validation, and any workflow that needs reliable math over the Apify API.

### What can this Math Tool do?

- Evaluate **multiple expressions** in one API call
- Return **one JSON dataset row per expression** with `expression`, `result`, and `error`
- Support **arithmetic**, **exponents**, **roots**, **trigonometry**, **logarithms**, and **variables**
- Run in **milliseconds** on minimal compute — no browser, no proxy, no scraping
- Integrate via **Apify API**, webhooks, schedules, and third-party automation platforms
- Export results as **JSON**, **CSV**, or **Excel** from the dataset

### Why use Math Tool for AI agents?

Large language models often hallucinate numbers. Giving your agent a **deterministic math tool** on Apify means:

1. **Accuracy** — Calculations are computed, not inferred.
2. **Reproducibility** — The same expression always yields the same result.
3. **Auditability** — Every run stores input expressions and outputs in a dataset.
4. **Scalability** — Call the Actor from thousands of agent runs via API without hosting your own calculator.

Pair Math Tool with other Apify Actors to build agent workflows: scrape data, calculate metrics, and push results anywhere.

### How do I use Math Tool from an AI agent?

1. Open [Math Tool on Apify Store](https://apify.com) or run it from Apify Console.
2. Pass an array of **expressions** in the input.
3. Read one dataset row per expression from the run output or via the Apify API.

#### API example

```json
{
  "expressions": ["2 + 2", "sqrt(16)", "(10 + 5) * 3", "log(100)"]
}
````

#### Output example

Each expression produces one dataset row:

```json
[
  { "expression": "2 + 2", "result": 4, "error": null },
  { "expression": "sqrt(16)", "result": 4, "error": null },
  { "expression": "(10 + 5) * 3", "result": 45, "error": null },
  { "expression": "log(100)", "result": 4.605170185988092, "error": null }
]
```

Download the dataset in **JSON**, **CSV**, **HTML**, or **Excel** from the run overview.

### Supported expression syntax

Math Tool uses **expr-eval**. Common operators and functions:

| Category       | Examples                                                       |
| -------------- | -------------------------------------------------------------- |
| Arithmetic     | `+`, `-`, `*`, `/`, `%`, `^`                                   |
| Grouping       | `(`, `)`                                                       |
| Constants      | `PI`, `E`, `pi`, `e`, `true`, `false`                          |
| Roots & powers | `sqrt(x)`, `cbrt(x)`, `x^y`                                    |
| Trigonometry   | `sin(x)`, `cos(x)`, `tan(x)`, `asin(x)`, `acos(x)`, `atan(x)`  |
| Logarithms     | `log(x)`, `ln(x)`, `log10(x)`                                  |
| Rounding       | `abs(x)`, `ceil(x)`, `floor(x)`, `round(x)`                    |
| Variables      | `x = 5; x * 2` (assign then use in the same expression string) |

Full parser documentation: [expr-eval on GitHub](https://github.com/silentmatt/expr-eval).

### Input

Math Tool has the following input options. Click the **Input** tab in Apify Console for field descriptions.

| Field         | Type       | Description                                       |
| ------------- | ---------- | ------------------------------------------------- |
| `expressions` | `string[]` | Required. One or more math expressions to evaluate. |

### How much does Math Tool cost?

Math Tool is extremely lightweight — no browser, no proxies, and typically finishes in under one second. A run consumes a fraction of a Compute Unit, so you can evaluate thousands of expressions on Apify's free tier. Exact cost depends on your Apify plan and run frequency.

### FAQ

#### Is Math Tool safe for agent tool calling?

Yes. Expressions are parsed and evaluated by expr-eval in an isolated Apify container. There is no arbitrary code execution — only supported math syntax is accepted.

#### Can I call Math Tool from Python or JavaScript agents?

Yes. Use the [Apify API](https://docs.apify.com/api/v2) or official Apify client libraries to start a run, pass `expressions`, and read results from the default dataset.

#### What happens when an expression fails?

Failed expressions do not stop the run. Each row includes `result: null` and an `error` message. Other expressions in the same batch are still evaluated.

```json
[
  { "expression": "2 + 2", "result": 4, "error": null },
  {
    "expression": "foo(bar)",
    "result": null,
    "error": "undefined variable: foo"
  }
]
```

#### Why not let the LLM calculate directly?

LLMs approximate math and can be wrong on large numbers, floating-point edge cases, or multi-step formulas. Math Tool gives agents a **reliable calculator API** on Apify.

### Integrations

- **Apify API** — Start runs and fetch dataset items programmatically
- **Webhooks** — Trigger downstream steps when evaluation completes
- **Schedules** — Recompute metrics on a cron
- **Make, Zapier, n8n** — Connect agent workflows without custom hosting

### Support

Open an issue on the Actor page if you need additional functions. Math Tool is designed to stay minimal and fast for agent use cases.

# Actor input Schema

## `expressions` (type: `array`):

Mathematical expressions to evaluate. Supports arithmetic, functions, and variables. See the README for supported syntax.

## Actor input object example

```json
{
  "expressions": [
    "2 + 2",
    "sqrt(16)",
    "sin(pi / 2)",
    "3^4"
  ]
}
```

# Actor output Schema

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

No description

# API

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

## JavaScript example

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

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

// Prepare Actor input
const input = {
    "expressions": [
        "2 + 2",
        "sqrt(16)",
        "sin(pi / 2)",
        "3^4"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("rainminer/math-tool").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 = { "expressions": [
        "2 + 2",
        "sqrt(16)",
        "sin(pi / 2)",
        "3^4",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("rainminer/math-tool").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 '{
  "expressions": [
    "2 + 2",
    "sqrt(16)",
    "sin(pi / 2)",
    "3^4"
  ]
}' |
apify call rainminer/math-tool --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Deterministic Math Expression Evaluator Tool",
        "description": "Evaluate mathematical expressions deterministically for AI agents and automations. Supports arithmetic, functions, and variables via a safe expression parser. Designed for AI agents for concise, deterministic, and accurate math outputs. Use over MCP, API, or the Apify Console.",
        "version": "1.0",
        "x-build-id": "Ozj2sOeMvoDapTImv"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/rainminer~math-tool/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-rainminer-math-tool",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/rainminer~math-tool/runs": {
            "post": {
                "operationId": "runs-sync-rainminer-math-tool",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/rainminer~math-tool/run-sync": {
            "post": {
                "operationId": "run-sync-rainminer-math-tool",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "expressions"
                ],
                "properties": {
                    "expressions": {
                        "title": "Expressions",
                        "type": "array",
                        "description": "Mathematical expressions to evaluate. Supports arithmetic, functions, and variables. See the README for supported syntax."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```