AgentPMT - The Agentic Economy

Complex Mathematics Engine

Core Utility
$0.06/requestMin Purchase: 18Min Purchase Price: $1.08

Details

A universal math engine that intelligently executes mathematical and scientific expressions. An agent can submit a single expression string to solve a wide range of problems without needing to select a specific engine, ranging from simple arithmetic to advanced symbolic mathematics, numerical array operations, and scientific computing. It integrates three powerful computation backends: SymPy for symbolic mathematics including differentiation, integration, limits, series expansions, equation solving, and algebraic simplification; NumPy for numerical operations on arrays and matrices including linear algebra, element-wise operations, and statistical aggregations; and SciPy for scientific computing including probability distributions, optimization, curve fitting, special functions, and numerical integration. The engine automatically detects the appropriate back end based on expression syntax, or users can specify a preferred engine explicitly. Expressions support intuitive syntax including Unicode math symbols like π, ∞, and √ which are automatically converted, as well as caret notation for exponentiation. Symbolic results preserve variables and can be further manipulated, while numerical results are returned as JSON-serializable values with full precision. Built-in security validation prevents code injection while allowing access to a comprehensive library of mathematical functions. Results include execution timing, the engine used, and metadata about the computation including detected variables for symbolic expressions.

Use Cases

Calculus, Solve Derivative, Calculate Integral, Find Limit of Function, Algebra, Solve Equation for Variable, Simplify Polynomial, Factor Expression, Expand Formula, Linear Algebra, Matrix Multiplication, Invert Matrix, Solve Linear System, Calculate Determinant, Find Eigenvalues, Statistics, Calculate Mean, Find Standard Deviation, Compute Median, Linear Regression Fitting, Optimization, Find Minimum of Function, Numerical Optimization, Array Operations, Vector Math, Element-wise Calculation, Array Sorting, Symbolic differentiation, derivative calculation, calculus derivative, symbolic integration, integral calculation, definite integral, indefinite integral, limit calculation, limit evaluation, series expansion, Taylor series, equation solving, algebraic equation solver, system of equations, expression simplification, algebraic simplification, polynomial factoring, expression expansion, symbolic algebra, computer algebra system, CAS calculation, NumPy array calculation, matrix multiplication, dot product, cross product, linear algebra operations, matrix determinant, matrix inverse, eigenvalue calculation, array mean calculation, standard deviation, statistical aggregation, numerical computation, vector operations, array manipulation, reshape array, transpose matrix, SciPy statistics, probability distribution, normal distribution CDF, statistical hypothesis testing, curve fitting, optimization, minimize function, special functions, Bessel functions, gamma function, numerical integration, quadrature, interpolation, scientific computing, engineering calculation, physics calculation, mathematical expression parser, safe math evaluation, sandboxed calculator, AI agent math, LLM calculator integration, automated computation, workflow math operations, API calculator, programmatic math evaluation

Parameters

(required properties listed first)

action
Type:string
Description:Use 'get_instructions' to retrieve documentation. Action to perform: calculate
Default:calculate
Allowed values:
get_instructionscalculate
expression
Type:string
Description:Mathematical expression to compute. Supports SymPy, NumPy, and SciPy syntax. Examples: diff(x**2, x), np.mean([1,2,3]), stats.norm.cdf(0). Required for calculate action.
engine_hint
Type:string
Description:OPTIONAL. Force a specific engine: auto (default), sympy, numpy, scipy.
Default:auto
Allowed values:
autosympynumpyscipy

API Example

curl -X POST "https://api.agentpmt.com/products/purchase" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: your-api-key-here" \
  -H "X-Budget-Key: your-budget-key-here" \
  -d '{
    "product_id": "689df4ac8ee2d1dd79e9035b",
    "parameters": {
      "action": "calculate",
      "engine_hint": "auto"
    }
  }'

Login to view your API and budget keys. The example above uses placeholder values. Sign in to see personalized code with your actual credentials.

About The Developer

Apoth3osis logo

Apoth3osis

13 stars

Joined Agent Payment: August 14, 2025

We build tools that enable AI agents to excel in the mathematical realm.

Our small team develops experimental and unique solutions in the AI arena, with a strong focus on modular computing for agentic applications and custom model deployment. We have handled projects for a variety of applications across many sectors, from algorithmic trading and financial analysis, to molecular simulations and predictions, to habitat and biodiversity monitoring and wildlife conservation.