All Services

Detects IQR-based statistical outliers in mining operating contribution margin rates across a set of revenue/contribution data rows.

Computes the local finite-change elasticity of a mining operation's contribution margin with respect to a specified field, given baseline revenue and contribution figures and a percentage step size.

Compares named what-if scenarios for mining operating contribution margin, computing the margin rate for each against a baseline using supplied revenue and contribution figures.

Computes a one-input sensitivity table for mining operating contribution margin, varying a single input (contribution or revenue) across user-supplied values against a baseline scenario.

Performs an ordered trend analysis on a time-series of mining revenue and contribution margin data, returning trend insights based on user-supplied assumptions.

Ranks a set of mining operation records by their operating contribution margin rate (contribution_usd / revenue_usd), returning a bounded ranking report.

Computes a rolling mean of mining operating contribution margin ratios (contribution_usd / revenue_usd) over a sliding window across a series of time-period rows.

Calculates the operating contribution margin rate for a mining operation given revenue and contribution values, returning a bounded single-calculation report.

Classifies mining operating contribution margin rates against user-defined lower and upper thresholds for a batch of operations.

Generates a two-input scenario grid report for mining operating contribution margin given user-supplied revenue and contribution USD assumptions.

Calculates the weighted mean of the operating contribution margin rate across multiple mining operation rows, using supplied revenue and contribution figures with custom weights.

Computes adjacent period-over-period changes in mining operating cost per unit of hash capacity from supplied daily cost and active terahash inputs.

Computes a base-100 indexed rebase report for mining operating cost per unit of hash capacity, given a series of daily cost and active terahash observations.

Calculates operating cost per unit of hash capacity (cost per TH/s) for multiple mining scenarios in a single batch request

Computes and compares mining operating cost per unit of hash capacity (USD per TH/s) across two user-supplied scenarios (before and after), returning a structured comparison report.

Computes and returns a distribution histogram of mining operating cost per terahash (TH/s) across supplied miner rows, grouped into configurable bins.

Computes a statistical distribution summary of mining operating cost per unit of hash capacity (USD per TH/s) from a batch of daily cost and active terahash inputs.

Detects IQR-based statistical outliers in mining operating cost per unit of hash capacity across a batch of miner profiles

Computes the local finite-change elasticity of mining operating cost per unit of hash capacity given user-supplied baseline assumptions and a step percentage.

Generates a one-input sensitivity table showing how mining operating cost per unit of hash capacity varies as a single input parameter changes across a range of values.

Performs an ordered trend analysis on a series of daily mining cost and active hash rate observations to reveal cost-per-hash capacity patterns over time.

Ranks a batch of mining operation records by their operating cost per unit of hash capacity (cost per TH/s), using preset mining assumptions.

Performs a sequential input-change attribution (waterfall) analysis on mining operating cost per terahash, decomposing how changes in hash capacity and daily cost drive the overall unit cost shift.

Calculates the operating cost per unit of hash capacity (USD/TH/s) for a Bitcoin mining operation given daily operating cost and active hash rate.

Classifies mining operating cost per unit of hash capacity (USD/TH/day) as below, within, or above a specified threshold range for a batch of mining scenarios.

Generates a two-input scenario grid showing mining operating cost per unit of hash capacity across combinations of daily cost and active terahash values.

Computes a weighted mean of mining operating cost per terahash (unit cost) across multiple mining operation profiles using user-supplied cost and hashrate data.

Validates a mining payout CSV file and reports blank/empty rows, checking up to 1000 rows against a declared contract.

Validates calendar date fields in a mining payout CSV file, checking up to 1000 rows for date correctness and constraint compliance.

Validates cell length constraints in a CSV file of mining payout records, auditing up to 1000 rows for compliance with declared length limits.

Validates a mining payout CSV and returns per-column statistics (counts, ranges, categories) for up to 1000 rows.

Validates and projects declared columns from a mining payout CSV, checking up to 1000 rows for contract compliance, numeric ranges, and category membership.

Validates a CSV of mining payout records and returns a report identifying exact duplicate rows, up to 1000 rows.

Validates a CSV of mining payout records and returns a report of invalid rows that fail schema, numeric range, or category constraints.

Validates a mining payout CSV file and returns a located error report identifying invalid or out-of-range cells, up to 1000 rows.

Validates that all numeric columns in a mining payout CSV file contain valid numbers within configurable bounds, reporting type violations per cell.

Validates CSV record key uniqueness for mining payout data, checking up to 1000 rows for duplicate keys and contract compliance.

Validates required cells in a mining payout CSV (up to 1000 rows) to ensure no mandatory fields are missing or empty.

Validates a CSV of mining payout records (up to 1000 rows) and flags cells containing spreadsheet formula injections or other formula-based anomalies.

Validates and normalizes a CSV of mining payout records into trimmed, typed fields, returning a conversion report for up to 1000 rows.

Validates a CSV file of mining payout records (up to 1000 rows) and returns a structured validation summary report.

Calculates how waiting time to reach a mining payout threshold changes between adjacent periods given threshold, current balance, and daily earnings assumptions.

Generates a Base-100 rebase index report estimating how long a miner must wait to reach a payout threshold given daily mining output and current accumulated BTC.

Calculates and compares mining payout threshold waiting time across two scenarios (before and after), showing how changes in daily earnings, current balance, or threshold affect time-to-payout.

Generates a distribution histogram of estimated waiting times for a bitcoin mining pool to reach a specified payout threshold, given current balance and daily earnings assumptions.

Computes a statistical distribution summary for how long it will take a Bitcoin miner to reach their payout threshold given current balance and daily earnings rate.

Computes IQR-based outlier flags for mining payout threshold waiting times across a batch of mining scenarios using supplied BTC mining assumptions.

Computes the local finite-change elasticity of mining payout threshold waiting time with respect to a chosen BTC input variable, given user-supplied mining assumptions.

Analyzes ordered trends in how long it takes a Bitcoin miner to reach their payout threshold, given current balance and daily earnings across multiple scenarios.

Ranks multiple Bitcoin mining payout scenarios by estimated waiting time until the payout threshold is reached, given current balance and daily earnings.

Calculates how changing each mining input sequentially affects the estimated waiting time to reach a Bitcoin mining payout threshold, using waterfall/attribution analysis.

Calculates how many days until a miner's accumulated BTC balance reaches the payout threshold given a daily earnings rate.

Calculates how far a miner's current BTC balance is from their payout threshold and estimates waiting time to close that gap given a daily mining rate.

Generates a two-dimensional scenario grid showing estimated waiting times to reach a BTC mining payout threshold across combinations of two user-specified mining variables.

Computes period-over-period changes in the transaction fee burden as a share of mining payouts, given a sequence of fee and payout BTC values.

Batch-calculates the transaction fee burden (fee-to-payout ratio) for up to 200 Bitcoin mining payout rows simultaneously, returning a bounded batch report.

Compares the transaction fee burden as a percentage of mining payouts between two scenarios (before and after), using supplied BTC amounts.

Computes the Pearson or rank correlation between mining transaction fee burdens and payout amounts against user-supplied benchmark values, returning a bounded benchmark correlation report.

Generates a distribution histogram showing how transaction fees burden mining payouts across configurable bins, given fee and payout amounts in BTC.

Identifies IQR-based statistical outliers in the ratio of transaction fees to mining payouts across a batch of BTC mining records

Generates a one-input sensitivity table showing how mining payout transaction fee burden changes as either the fee or payout BTC amount varies across a user-supplied range.

Analyzes the trend of transaction fee burden relative to mining payouts across a supplied sequence of data points, returning an ordered trend analysis report.

Computes how a change in Bitcoin mining fee or payout amount shifts the fee burden share, using sequential input-change attribution between a before and after scenario.

Validates calendar date fields in a CSV of mining pool metrics (up to 1000 rows), checking date format correctness and range constraints.

Validates that all category values in a mining pool metrics CSV fall within a declared allowlist of permitted pool IDs or group names.

Computes per-column statistics for a CSV file of mining pool metrics, validating up to 1000 rows against a declared table contract.

Detects and reports exact row duplicates in a CSV of mining pool metrics (hashrate, rewards, pool ID, etc.) for up to 1000 rows.

Validates a CSV file's header contract for mining pool metric imports, checking structure, cell constraints, and category allowlists for up to 1000 rows.

Validates a CSV of mining pool metrics (up to 1000 rows) and returns a located error report identifying cell-level issues.

Validates numeric type constraints in a CSV of mining pool metrics (hashrate, rewards, etc.), checking up to 1000 rows for correct numeric formatting and value ranges.

Validates that all required cells in a mining pool metrics CSV are present and non-empty, supporting up to 1000 rows.

Validates a CSV table of mining pool metrics (up to 1000 rows) and flags cells containing spreadsheet formula injections.

Validates a CSV table of mining pool metrics (hashrate, rewards, pool IDs) against a declared contract, returning a summary report of up to 1000 rows.

Validates a CSV of mining pool metrics (up to 1000 rows) and returns a report of valid rows, checking structure, numeric ranges, and category membership.

Computes adjacent period changes in mining power capacity headroom (capacity minus committed load) across a time series of up to 200 period rows.

Calculates available power headroom (capacity minus committed load) for multiple mining sites in a single batch request, returning a bounded report per row.

Computes the Pearson (or similar) correlation between power capacity headroom values and a set of user-supplied benchmark values across multiple mining operation rows.

Generates a binned distribution histogram of power capacity headroom (available minus committed kW) across a set of mining sites.

Computes IQR-based outlier flags for mining power capacity headroom across a batch of mining operation rows, identifying statistical anomalies in capacity vs. committed power data.

Computes local finite-change elasticity of mining power capacity headroom with respect to a specified input field, given user-supplied baseline assumptions.

Compares named what-if scenarios for mining power capacity headroom, showing how changes to capacity_kw or committed_kw affect available power headroom.

Generates a one-input sensitivity table showing how mining power capacity headroom varies as either total capacity (kW) or committed power (kW) changes across a user-supplied range of values.

Ranks multiple mining facility records by available power capacity headroom (capacity minus committed power), given user-supplied capacity and committed kilowatt values.

Computes a rolling mean of mining power capacity headroom (available minus committed capacity) over a configurable window across a series of time-stamped or sequential rows.

Computes a sequential (waterfall) attribution report showing how changes to mining power capacity and committed load inputs affect available headroom.

Calculates the unused (headroom) power capacity in kilowatts for a mining operation given total capacity and committed load.

Generates a two-input scenario grid report showing headroom between mining power capacity and committed power draw across user-specified value ranges.

Computes a weighted mean of mining power capacity headroom (available minus committed kW) across multiple sites or scenarios using supplied capacity and commitment data.

Calculates period-over-period changes in Bitcoin mining revenue based on supplied hashrate and hashprice assumptions

Calculates mining revenue for multiple hashrate/hashprice combinations in a single batch request, returning bounded calculation reports for each row.

Computes benchmark correlation between mining revenue estimates and supplied hashprice benchmarks for a set of miner configurations.

Computes a statistical distribution summary of Bitcoin mining revenue given a set of hashrate and hashprice (USD per PH/day) input rows.

Computes the local finite-change elasticity of Bitcoin mining revenue with respect to either hashrate (TH/s) or hashprice (USD/PH/day) given a user-supplied baseline and step size.

Performs ordered trend analysis on Bitcoin mining revenue given a series of hashrate and hashprice (USD per PH/day) data points.

Computes a rolling mean of Bitcoin mining revenue estimates over a time series of hashprice and hashrate inputs.

Computes a sequential waterfall attribution of mining revenue changes when hashrate (TH/s) and hashprice (USD/PH/day) inputs are varied between a before and after scenario.

Calculates the gap between a mining revenue target and the projected revenue derived from supplied hashrate and hashprice assumptions.

Classifies mining revenue estimates from supplied hashprice inputs as within or outside specified lower/upper threshold bounds

Generates a two-dimensional scenario grid of Bitcoin mining revenue estimates by varying hashrate (TH/s) and hashprice (USD/PH/day) across user-supplied ranges.

Computes a base-100 rebase index of mining rewards adjusted for miner availability percentage across multiple input scenarios.