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SMT Solver Oracle MCP
x402
SMT Solver Oracle MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.5/call, status unknown (last checked 2026-10-16).
Solves SMT (Satisfiability Modulo Theories) problems and logical constraint queries submitted as data strings, returning satisfiability results or model witnesses.
Price / call$0.5
Success—
StatusUnknown
How this service works
The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.
Output
A satisfiability verdict (SAT, UNSAT, or UNKNOWN) and, when satisfiable, a concrete model or witness assignment of variable values that satisfies the submitted constraints or formula.
Example use cases
Verify software contract preconditions
“I have a function that requires x >= 0 and x < 100 and x mod 2 = 0 — can you use the SMT solver to check if those constraints are satisfiable and give me a concrete example value that satisfies all of them?”
Formal logic puzzle solving
“Check if this logic puzzle has a solution: three variables A, B, C are all between 1 and 10, A + B = C, A is not equal to B, and C is even — run it through the SMT oracle and return a satisfying assignment if one exists.”
Program invariant checking
“I need to verify that this loop invariant is satisfiable: n > 0, i >= 0, i <= n, sum = i * (i+1) / 2 — can you submit it to the SMT solver and tell me whether it's satisfiable and what values make it true?”
Technical details
Endpoint
POSThttps://api.m2mcent.com/smt-solver-oracle-mcp/api/process?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need automated, oracle-style SMT solving as part of an agentic workflow — particularly for formal verification, constraint satisfaction checks, or logical reasoning tasks where a dedicated SMT backend is required. Prefer it over general-purpose LLM reasoning when you need sound, complete, and reproducible satisfiability results with a concrete model witness.
Side effects
- Malformed or unparseable SMT formula in the data field returns an error or UNKNOWN
- Extremely complex formulas may time out and return UNKNOWN
- Unsupported theory or syntax not handled by the underlying solver returns an error
- Empty or missing data field causes a 400-level validation error
- Payment failure via x402 protocol prevents the request from being processed
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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