Occam
fit.occam/occam
3 toolsHTTPregistry active
Summary
This server exposes symbolic regression through two tools: sindy_run for discovering differential equations from time series data in seconds, and pysr_run for finding algebraic relationships via evolutionary search that returns a Pareto front of expressions ranked by complexity versus accuracy. It wraps PySINDy and SymbolicRegression.jl under the hood. You'd reach for this when you have numerical measurements and want governing equations instead of black box models. The free tier handles up to 100 rows and 8 variables, then switches to pay per use via x402 or card. Connects over streamable HTTP to occam.fit/mcp/ and includes a bootstrap uncertainty tool for getting confidence intervals on fitted constants.
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Tools
Public tool metadata for what this MCP can expose to an agent.
3 tools
feature.requestRequest a feature that Occam doesn't support yet. Use this when you need a capability that Occam doesn't currently offer. Requests are logged and used to prioritize development.1 params
Request a feature that Occam doesn't support yet. Use this when you need a capability that Occam doesn't currently offer. Requests are logged and used to prioritize development.
Parameters* required
descriptionstringA short description of the feature you need. Examples: 'LaTeX output for equations', 'support for ODE constraints', 'GPU-accelerated search', 'larger dataset limits'. Helps prioritize development.
sindy.runSparse Identification of Nonlinear Dynamics (SINDy). Discovers governing differential equations from time series data. Returns human-readable sparse expressions. Fast (seconds). Best for systems where you have time-resolved measurements of multiple state variables and want to...6 params
Sparse Identification of Nonlinear Dynamics (SINDy). Discovers governing differential equations from time series data. Returns human-readable sparse expressions. Fast (seconds). Best for systems where you have time-resolved measurements of multiple state variables and want to...
Parameters* required
tarrayTimestamps corresponding to each row of data. Length must match row count.
dataarray2D array of time series data. Each row is a timestep, each column is a state variable. Max 10,000 rows, 20 variables.
max_iterintegerMaximum STLSQ optimizer iterations. Default 20.default: 20
thresholdnumberSTLSQ sparsity threshold. Higher values produce sparser equations. Default 0.1.default: 0.1
poly_degreeintegerPolynomial library degree for SINDy candidate functions. Default 2.default: 2
feature_namesvalueNames for each variable/feature column. Defaults to x0, x1, ...
pysr.runEvolutionary Symbolic Regression (PySR). Discovers algebraic equations from feature/target data. Returns a Pareto front of expressions ranked by the tradeoff between complexity and accuracy. Slower than SINDy (10-60s). Best for finding closed-form relationships without time st...8 params
Evolutionary Symbolic Regression (PySR). Discovers algebraic equations from feature/target data. Returns a Pareto front of expressions ranked by the tradeoff between complexity and accuracy. Slower than SINDy (10-60s). Best for finding closed-form relationships without time st...
Parameters* required
Xarray2D array of input features. Each row is an observation, each column is a feature. Max 1,000 rows, 10 features.
yarrayTarget values, one per row of X.
populationsintegerNumber of evolutionary populations for the search. Default 15, max 20.default: 15
feature_namesvalueNames for each variable/feature column. Defaults to x0, x1, ...
max_complexityintegerMaximum expression tree size. Higher allows more complex expressions. Default 20, max 25.default: 20
timeout_secondsintegerWall clock time limit in seconds. Default 60, max 60.default: 60
unary_operatorsvalueAllowed unary operators. Options: sin, cos, tan, exp, log, log2, log10, sqrt, abs, sinh, cosh, tanh. Default: sin, cos, exp, log, sqrt.
binary_operatorsvalueAllowed binary operators. Options: +, -, *, /, ^. Default: +, -, *, /.
Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
