MathEvaluator — Fast, Accurate Expression Parsing for Developers

MathEvaluator API: Integrate Reliable Math Evaluation in Minutes

What it is

An API that evaluates mathematical expressions reliably and securely, returning numeric results, symbolic simplifications, or step-by-step solutions depending on configuration.

Key features

  • Expression parsing: Accepts infix math with parentheses, functions (sin, cos, log, etc.), constants (pi, e) and variables.
  • Evaluation modes: Numeric evaluation, symbolic simplification, exact rational arithmetic, and step-by-step solution traces.
  • Safety sandboxing: Prevents execution of arbitrary code; limits recursion and expression complexity to avoid denial-of-service.
  • Units & dimensional checks: Optional validation to ensure consistent units (e.g., meters vs. seconds).
  • Custom functions & constants: Register domain-specific functions or constants at runtime.
  • Localization: Configurable decimal separators and function name aliases for different locales.
  • Error reporting: Structured error responses with position, type (syntax, domain, overflow), and hints.

Typical API endpoints

Endpoint Purpose Input Output
/evaluate Compute numeric result expression, variables, precision result, units (optional), evaluation_time
/simplify Symbolically simplify expression expression simplified_expression, steps (optional)
/solve Solve equations or systems expression(s), variable(s) solutions (array), steps (optional)
/steps Return procedural steps expression, target_variable step_list
/validate Check units/dimensions expression, unitsmap valid(boolean), errors

Example usage (HTTP)

http

POST /evaluate Content-Type: application/json { “expression”: “2*sin(pi/4) + x”, “variables”: { “x”: 3 } }

Response:

json

{ “result”: 4.414213562373095, “precision”: 15, “evaluation_time_ms”: 2 }

Integration tips

  • Send numeric variables as numbers, symbolic as strings.
  • Use the simplify endpoint before evaluation when exact forms are required.
  • Cache parsed expressions (if supported) to reduce latency for repeated evaluations.
  • Limit user-submitted expression length and nesting depth to protect the service.

Security & reliability

  • Enforce timeouts and resource quotas per request.
  • Sanitize and parse in a dedicated math engine, not via eval-like functions.
  • Provide versioned API to avoid breaking client integrations.

Pricing & deployment (assumed defaults)

  • Free tier: limited requests/day, low concurrency.
  • Paid tiers: higher rate limits, enterprise SLA, on-premise or private cloud deployment options.

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