QA

Quantum Artificer

app.surewhynot.quantum-artificer/quantum-artificer

Scientific compute for AI agents: symbolic, numerical, quantum, chemistry, ODE. Paid via x402.

Yes, your AI can use this right now.Answered a live MCP handshake in 360 ms with no sign-in needed and exposes 6 tools.

Connect it

Settings → Connectors → Add custom connector
URL: https://quantum-artificer.surewhynot.app/mcp

6 tools, verified live

Pulled straight from the server with tools/list on 2026-10-17.
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'} with operation='integrate'. Verified numerically. $0.005 USDC.

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', fuel:{CH4:1}, phi:1, T0:300, P:101325}. $0.02 USDC.

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.

Alternatives in Health & Science

Compare →
Try “Notion”, “Stripe”, “create invoice”, “browser”