Algorithm Catalog

17 production-grade algorithms across 8 categories. All endpoints return results in under 25ms with zero LLM cost.

Optimize

Evolutionary and bandit algorithms for finding optimal solutions in large search spaces.

Multi-Armed Bandit

$0.01

UCB1, Thompson Sampling, and Epsilon-Greedy algorithms for explore/exploit decisions. Maximizes cumulative reward across options with unknown payoffs.

A/B testingAd placementFeature rollout
<1msO(n)Try It →

Contextual Bandit (LinUCB)

$0.02

Context-aware decision making using linear upper confidence bound. Uses feature vectors (time, energy, urgency) to make personalized selections.

Personalized recommendationsDynamic pricingTreatment selection
<1msO(d^2 * k)Try It →

Genetic Algorithm

$0.10

Multi-objective evolutionary optimization with Pareto frontier. Supports tournament, roulette, and rank selection with configurable crossover and mutation.

Portfolio optimizationFeature selectionHyperparameter tuning
<10msO(g * n * d)Try It →

CMA-ES

$0.10

Covariance Matrix Adaptation Evolution Strategy for continuous black-box optimization. State-of-the-art for derivative-free numerical optimization.

Neural network tuningEngineering designCalibration
<5msO(d^2 * n)Try It →

Simulate

Monte Carlo and scenario simulations for risk assessment and what-if analysis.

Monte Carlo Simulation

$0.05

Run thousands of probabilistic simulations with configurable distributions. Supports normal, lognormal, uniform, triangular, beta, and exponential.

Risk assessmentFinancial modelingProject estimation
<5msO(n * k)Try It →

Scenario Planning

$0.08

What-if analysis comparing multiple scenarios against a base case. Calculates outcome deltas, per-variable impact, and sensitivity rankings.

Business planningInvestment analysisStrategy evaluation
<3msO(s * v)Try It →

Solve

Constraint satisfaction and pathfinding for scheduling, routing, and resource allocation.

Constraint Optimizer (LP/MIP)

$0.10

Linear and mixed-integer programming using HiGHS solver (WASM). Production-grade LP/MIP/QP solver for resource allocation and scheduling.

Resource allocationSupply chainScheduling
<10msProblem-dependentTry It →

Schedule Optimizer

$0.10

Optimal task-to-slot assignment using constraint satisfaction. Respects deadlines, priorities, and resource constraints.

Meeting schedulingWorkforce planningTask assignment
<5msO(t * s)Try It →

Analyze

Graph analysis, portfolio risk, and multi-model consensus for complex data interpretation.

Decision Graph

$0.05

Graph analysis with PageRank, Louvain community detection, and shortest path using graphology. Model decisions as interconnected nodes.

Dependency analysisImpact mappingNetwork analysis
<3msO(V + E)Try It →

Portfolio Risk (VaR/CVaR)

$0.10

Value at Risk and Conditional VaR for portfolio risk assessment. Computes expected return, volatility, and tail risk metrics.

Portfolio managementRisk budgetingRegulatory compliance
<2msO(n^2 * t)Try It →

Predict

Bayesian inference, ensemble methods, and time series forecasting for probabilistic predictions.

Bayesian Inference

$0.02

Bayesian belief updating with configurable priors and evidence factors. Computes posterior probability, calibration score, and credible intervals.

Medical diagnosisFraud detectionSpam filtering
<1msO(e)Try It →

Ensemble Model

$0.05

Combine multiple model predictions using weighted voting, stacking, or Bayesian model averaging. Quantifies epistemic and aleatoric uncertainty.

Model aggregationForecast combinationExpert consensus
<1msO(m)Try It →

Time Series Forecast

$0.05

ARIMA and Holt-Winters forecasting for time series data. Produces point forecasts with confidence intervals and model diagnostics.

Demand forecastingRevenue projectionInventory planning
<3msO(n * s)Try It →

Detect

Statistical anomaly detection and signal scanning for identifying unusual patterns.

Anomaly Detection

$0.02

Statistical anomaly detection using Z-Score and IQR methods. Identifies outliers in numerical data with configurable sensitivity thresholds.

Fraud detectionSystem monitoringQuality control
<1msO(n)Try It →

Score

Convergence and calibration scoring for evaluating prediction quality and source agreement.

Convergence Scoring

$0.02

Multi-source signal agreement via Hellinger distance. Measures how much independent sources converge on the same prediction.

Prediction marketsExpert consensusMulti-sensor fusion
<1msO(s^2)Try It →

Calibration Scoring

$0.01

Brier score and log score for evaluating prediction calibration. Measures how well predicted probabilities match actual outcomes.

Forecaster evaluationModel calibrationPrediction accuracy
<1msO(n)Try It →

Plan

Pathfinding and critical path analysis for sequencing tasks and finding optimal routes.

A* Pathfinding

$0.03

A* shortest path with K-shortest alternatives using Yen's algorithm. Supports cost, time, and risk heuristics with weighted multi-objective search.

Route planningCritical path analysisNetwork routing
<2msO(E log V)Try It →