fit.occam/occam · v0.1.1 · data-and-databases
Occam is healthy: it completed an MCP handshake in 2549 ms and exposes 4 tools.
Finds the simplest equation consistent with your data. SINDy and PySR symbolic regression via MCP.
Endpoint: https://occam.fit/mcp/ (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 4 |
| Latency | 2549 ms |
| Last checked (UTC) | 2026-10-14T23:55:43.793Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-14T23:55:43.793Z | Healthy | 2549 |
feature_request | 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. Rate limit: 5 requests/hour per IP, 50/hour global — stricter than the compute tools' 10/hour to prevent |
sindy_run | Sparse Identification of Nonlinear Dynamics (SINDy). Recovers governing differential equations (dx/dt = f(x)) from time series data. Returns human-readable sparse expressions. Fast (seconds). For algebraic y = f(x) relationships without time structure, use pysr_run instead. Pri |
pysr_run | Evolutionary Symbolic Regression (PySR). Discovers algebraic equations y = f(x1, x2, ...) from feature/target data. Returns a Pareto front ranked by the complexity/accuracy tradeoff. Slower than SINDy (10-60s); searches often terminate early on convergence. For differential equation |
pysr_uncertainty | Bootstrap confidence intervals for the numeric constants of a frozen expression, plus optional prediction bands on an x-grid. Typical flow: call pysr_run, pick an expression from the response (best_expression or a pareto_front entry), pass it back here with the same dataset to get C |