app.surewhynot.quantum-artificer/quantum-artificer · v1.0.0 · health-and-science
app.surewhynot.quantum-artificer/quantum-artificer is healthy: it completed an MCP handshake in 1714 ms and exposes 6 tools.
Scientific compute for AI agents: symbolic, numerical, quantum, chemistry, ODE. Paid via x402.
Endpoint: https://quantum-artificer.surewhynot.app/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 6 |
| Latency | 1714 ms |
| Last checked (UTC) | 2026-10-17T00:25:43.345Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-17T00:25:43.345Z | Healthy | 1714 | |
| 2026-10-15T17:35:12.900Z | Healthy | 2482 | |
| 2026-10-14T16:50:46.029Z | Healthy | 1635 |
quantum_artificer_info | FREE. Full catalog of Quantum Artificer: the 5 domains, their operations, input-spec shapes, limits, and prices. Call this first to learn how to build the `spec` for the paid compute tools. No wallet needed. |
symbolic | [Symbolic math, SymPy] Exact symbolic computation: simplify, differentiate, integrate, solve equations/systems, limits, series, Laplace/Fourier transforms, arbitrary-precision eval. Pass {operation, spec}. Expressions are JSON ASTs, e.g. spec={symbols:['x'], expression:['Pow','x',2], variable:'x'} w |
numerical | [Numerical, SciPy] Root-finding, optimization, numerical integration (quad), eigenvalues/vectors, linear solves — with residuals and condition numbers. Pass {operation, spec}, e.g. operation='eigen', spec={matrix:[[2,1],[1,2]], symmetric:true}. $0.01 USDC. |
quantum | [Quantum simulation, Qiskit Aer] Simulate small/medium quantum circuits: statevector, density-matrix (noise), stabilizer, MPS; shots, expectation values, seeded determinism. Pass operation='simulate', spec={qubits, gates:[{name,qubits,params?}], shots?, method?}. Sync tier ≤24 qubits. $0.05 USDC. |
chemistry | [Physical chemistry, Cantera + CoolProp] Thermochemistry: equilibrium, adiabatic flame temperature, thermo/transport properties, fluid properties (steam/refrigerants). Bundled mechanisms only (gri30, h2o2, air…). Pass {operation, spec}, e.g. operation='adiabatic_flame_temp', spec={mechanism:'gri30', |
ode | [Physics ODE, SciPy] Solve coupled ODE systems from parameterized templates (orbital 2-body, oscillator, pendulum, heat transfer, RC/RLC, projectile-with-drag, SIR) or a generic linear system, with energy/conservation checks. Pass operation='solve', spec={template, params, tSpan:[t0,tf]}. $0.01 USDC |