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Numora Optimization Solver
x402
Numora Optimization Solver is a paid API for AI agents from numormo.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Solves numerical optimization problems (minimize/maximize a function) given a mathematical expression and an initial guess, using gradient descent or Nelder-Mead methods
Price / call$0.1
Success—
StatusUnknown
How this service works
100 pure math computation endpoints for AI agents. Statistics, financial math, linear algebra, equation solving, calculus, number theory, sequence generation, and unit conversions. Zero external dependencies. x402 micropayments on Base.
Output
Returns a JSON object with a boolean 'success' field, a 'result' object containing the optimal input point and corresponding minimum function value, and a 'computation' string describing what was computed in human-readable form.
Example use cases
Minimizing a machine learning loss function
“I have a simple loss function '(w - 3)^2 + (b + 1)^2' and want to find the optimal weights and bias — start the search from [0, 0] using gradient-descent.”
Portfolio risk minimization
“Minimize the portfolio variance function '0.04*x^2 + 0.09*y^2 + 0.03*x*y' starting from the initial guess [0.5, 0.5] using Nelder-Mead to find the optimal asset allocation.”
Engineering parameter tuning
“Find the values of x and y that minimize the function '(x-2)^2 + (y+3)^2 + x*y' starting from [1, -1] — use Nelder-Mead and give me the optimal parameter values.”
Technical details
Endpoint
POSThttps://numormo.vercel.app/api/solve/optimizationWhen to prefer
Use this endpoint when you need pure numerical optimization of a mathematical function without external data dependencies — ideal for minimizing cost/loss functions, finding optimal parameters, or solving engineering design problems. Prefer gradient-descent for smooth, differentiable functions and Nelder-Mead for non-smooth or noisy functions. Not suitable for symbolic optimization, constraint-based optimization, or integer programming.
Side effects
- Invalid or unparseable function expression returns an error
- Initial guess vector dimension mismatch with the function's variables
- Non-convergence if the function is highly non-convex or the initial guess is poor
- Unsupported mathematical syntax in the function string
- Incorrect method enum value causes a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| fnrequired | string | |
| guessrequired | array | |
| method | string |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| resultrequired | object | Computation result varies by endpoint |
| successrequired | boolean | Always true on success |
| computationrequired | string | Human-readable description of what was computed |
Tags
x402
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