Catalog

https://orbisapi.com/proxy/airdrop-eligibility-checker-api-9c1dc4

https://orbisapi.com/proxy/nft-trait-floor-calculator-api-90e357

https://orbisapi.com/proxy/mev-protection-scorer-api-7c1315

Analyze token vesting schedules for unlock amounts, dilution and sell pressure within a time window.

Estimate gas costs across Ethereum, Polygon, Arbitrum, Optimism and BSC for slow/standard/fast tiers.

Detect proxy patterns, timelocks, multisig and selfdestruct in Solidity contracts

Detect proxy patterns, timelocks, multisig and selfdestruct in Solidity contracts. Returns risk score.

Score LP health from TVL, volume, age, LP count and fee APR

Score LP health from TVL, volume, age, LP count and fee APR. Returns health level and signals.

https://orbisapi.com/proxy/on-chain-volume-analyzer-api-935482

Analyze flash loan profitability and risks from loan amount, protocol fees, gas and expected profit.

Detect multivariate outliers from 2D data using Z-score Mahalanobis distance with severity classification.

Test two time series for cointegration using Engle-Granger residual ADF test.

Apply simple, Holt's double or Holt-Winters triple exponential smoothing with multi-step forecast.

Generate full statistical summary: mean, median, std dev, IQR, skewness, kurtosis and outlier count.

Score overfitting risk 0-100 from train-val gap, loss divergence, parameter ratio and CV variance.

Calculate DEX price impact from trade size and pool liquidity

Calculate DEX price impact from trade size and pool liquidity. Returns impact level and max safe trade size.

https://orbisapi.com/proxy/data-pipeline-quality-scorer-api-0ce012

Generate Lorenz curve data points and Gini coefficient for any value distribution.

https://orbisapi.com/proxy/lift-and-gain-chart-calculator-api-cc29ac

Diagnose overfitting/underfitting from train/val accuracy gap, loss gap and parameter-to-sample ratio.

Recommend dimensionality reduction method (PCA, UMAP, t-SNE, LDA) from data type and purpose.

https://orbisapi.com/proxy/cox-regression-scorer-api-5ee8bc

Rank features by random forest importance with cumulative variance and low-importance elimination candidates.

Score survival analysis metrics: event rate, hazard rate, median survival and survival at key time percentiles.

Apply logistic regression coefficients to predict probabilities with odds ratios and accuracy scoring.