compute.siliq.io OR-Tools CP-SAT Solver is a paid API for AI agents from compute.siliq.io, paid per call via x402, $0.010000/call, status down (last checked 2026-09-15).
Accepts a constraint satisfaction or optimization problem defined as constraints and variables, and returns a verified feasible or optimal solution using Google OR-Tools CP-SAT solver.
Returns a solution object containing: the solver status (OPTIMAL, FEASIBLE, INFEASIBLE, or UNKNOWN), assigned values for all decision variables, and an optimality or feasibility certificate. If a solution exists, variable assignments are verified to satisfy all submitted constraints.
POSThttps://compute.siliq.io/solveUse this endpoint when you need a verified, provably correct solution to a discrete or combinatorial optimization problem — scheduling, assignment, packing, routing — especially when you need hard constraint satisfaction guarantees. Prefer over heuristic or metaheuristic solvers when correctness matters. Prefer over LP solvers when variables are integer or Boolean. Best for problems expressible in CP-SAT's constraint language.
{
"input": {
"body": {
"objective": {
"type": "minimize",
"expression": "x1 + x2"
},
"variables": {
"x1": {
"domain": [
0,
10
]
},
"x2": {
"domain": [
0,
10
]
}
},
"constraints": [
{
"type": "linear",
"expression": "x1 + x2 >= 5"
},
{
"type": "linear",
"expression": "x1 <= 8"
}
]
},
"type": "http",
"method": "POST",
"bodyType": "json"
}
}| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"status": "optimal",
"branches": 0,
"feasible": true,
"solution": {
"x1": 0,
"x2": 0
},
"conflicts": 0,
"solve_time_ms": 68,
"objective_value": 0,
"constraints_total": 0,
"constraints_satisfied": 0
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