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Built for the Claude Code community with Claude Code by mertbuilds.com

Independent project, not affiliated with Anthropic
occam avatar

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
descriptionstring
A 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
dataarray
2D array of time series data. Each row is a timestep, each column is a state variable. Max 10,000 rows, 20 variables.
feature_namesvalue
Names for each variable/feature column. Defaults to x0, x1, ...
max_iterinteger
Maximum STLSQ optimizer iterations. Default 20.default: 20
poly_degreeinteger
Polynomial library degree for SINDy candidate functions. Default 2.default: 2
tarray
Timestamps corresponding to each row of data. Length must match row count.
thresholdnumber
STLSQ sparsity threshold. Higher values produce sparser equations. Default 0.1.default: 0.1
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
Xarray
2D array of input features. Each row is an observation, each column is a feature. Max 1,000 rows, 10 features.
binary_operatorsvalue
Allowed binary operators. Options: +, -, *, /, ^. Default: +, -, *, /.
feature_namesvalue
Names for each variable/feature column. Defaults to x0, x1, ...
max_complexityinteger
Maximum expression tree size. Higher allows more complex expressions. Default 20, max 25.default: 20
populationsinteger
Number of evolutionary populations for the search. Default 15, max 20.default: 15
timeout_secondsinteger
Wall clock time limit in seconds. Default 60, max 60.default: 60
unary_operatorsvalue
Allowed unary operators. Options: sin, cos, tan, exp, log, log2, log10, sqrt, abs, sinh, cosh, tanh. Default: sin, cos, exp, log, sqrt.
yarray
Target values, one per row of X.
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Categories
Data & Analytics
Registryactive
TransportHTTP
UpdatedApr 2, 2026
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