Scientific compute for AI agents: symbolic, numerical, quantum, chemistry, ODE. Paid via x402.
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[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.
The structured problem for this operation (see quantum_artificer_info for shapes).
Operation within this domain.
This tool isn't marked read-only, so it may change something on the server or in an account you connected.
[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.
| Argument | Type | Description |
|---|---|---|
| spec* | object | The structured problem for this operation (see quantum_artificer_info for shapes). |
| operation* | string | Operation within this domain. |
{
"type": "object",
"required": [
"operation",
"spec"
],
"properties": {
"spec": {
"type": "object",
"description": "The structured problem for this operation (see quantum_artificer_info for shapes)."
},
"operation": {
"type": "string",
"description": "Operation within this domain."
}
}
}[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.
| Argument | Type | Description |
|---|---|---|
| spec* | object | The structured problem for this operation (see quantum_artificer_info for shapes). |
| operation* | string | Operation within this domain. |
{
"type": "object",
"required": [
"operation",
"spec"
],
"properties": {
"spec": {
"type": "object",
"description": "The structured problem for this operation (see quantum_artificer_info for shapes)."
},
"operation": {
"type": "string",
"description": "Operation within this domain."
}
}
}[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.
| Argument | Type | Description |
|---|---|---|
| spec* | object | The structured problem for this operation (see quantum_artificer_info for shapes). |
| operation* | string | Operation within this domain. |
{
"type": "object",
"required": [
"operation",
"spec"
],
"properties": {
"spec": {
"type": "object",
"description": "The structured problem for this operation (see quantum_artificer_info for shapes)."
},
"operation": {
"type": "string",
"description": "Operation within this domain."
}
}
}[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.
| Argument | Type | Description |
|---|---|---|
| spec* | object | The structured problem for this operation (see quantum_artificer_info for shapes). |
| operation* | string | Operation within this domain. |
{
"type": "object",
"required": [
"operation",
"spec"
],
"properties": {
"spec": {
"type": "object",
"description": "The structured problem for this operation (see quantum_artificer_info for shapes)."
},
"operation": {
"type": "string",
"description": "Operation within this domain."
}
}
}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.
No arguments.
{
"type": "object",
"properties": {}
}[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.
| Argument | Type | Description |
|---|---|---|
| spec* | object | The structured problem for this operation (see quantum_artificer_info for shapes). |
| operation* | string | Operation within this domain. |
{
"type": "object",
"required": [
"operation",
"spec"
],
"properties": {
"spec": {
"type": "object",
"description": "The structured problem for this operation (see quantum_artificer_info for shapes)."
},
"operation": {
"type": "string",
"description": "Operation within this domain."
}
}
}