# Numora Constraint Solver API

> Numora Constraint Solver API is a paid API for AI agents from numomo.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-13).

Solves systems of constraints over named variables and returns feasible solutions or optimal values

## Facts

- Endpoint: POST https://numomo.vercel.app/api/solve/constraint
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/numora-constraint-solver-api-17060006
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ZVs87QqIZZ5fVRxUHPqh-

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability numora-constraint-solver-api-17060006 -d '<json body>'
```

Example prompt: Solve for variables x, y, and z given the constraints x + y + z = 100, x >= 10, y >= 20, z >= 5, and x <= 50 — I need a feasible assignment that satisfies all of them.

## When to prefer this

Choose this endpoint when you need to find variable assignments that satisfy a set of mathematical constraints without relying on any external data sources or services. It is ideal for constraint satisfaction problems, feasibility checks, and bounded optimization where all logic is purely mathematical. Prefer it over general-purpose LLM reasoning for constraint problems because it returns exact, verifiable numeric solutions. It is well-suited for budget allocation, scheduling feasibility, resource planning, and any scenario where you have named variables and a list of inequality or equality constraints.

## Known failure modes

- Infeasible system — constraints are contradictory and no solution exists
- Missing required fields — variables or constraints array not provided
- Malformed constraint expressions — unparseable syntax in constraint strings
- Underdetermined system — too few constraints to produce a unique solution
- Payment failure — x402 micropayment not completed or insufficient USDC balance
- Timeout — overly complex constraint systems may exceed compute limits

## 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 flag, a result object containing the solved variable values or feasibility determination, and a human-readable computation string describing what was computed and how the constraints were resolved.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "variables",
  "constraints"
 ],
 "properties": {
  "variables": {
   "type": "object"
  },
  "constraints": {
   "type": "array"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "success",
  "result",
  "computation"
 ],
 "properties": {
  "result": {
   "type": "object",
   "description": "Computation result varies by endpoint"
  },
  "success": {
   "type": "boolean",
   "description": "Always true on success"
  },
  "computation": {
   "type": "string",
   "description": "Human-readable description of what was computed"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/numora-constraint-solver-api-17060006/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from numomo.vercel.app](https://www.zero.xyz/host/numomo.vercel.app/llms.txt)