All Services

Analyzes ordered trends in mining operating cash contribution (revenue minus electricity, maintenance, and other costs) across a time series of up to 200 data rows.

Calculates the gap between actual mining operating cash contribution and a specified target, given revenue, electricity, maintenance, and other cost inputs.

Generates a two-input scenario grid showing mining operating cash contribution across combinations of two chosen financial variables (revenue, electricity, maintenance, or other costs).

Calculates adjacent period changes in mining operating cash reserve given daily cost and reserve days inputs across multiple periods.

Computes a Base-100 indexed report for mining operations' cash reserve requirements, normalizing multiple cost/duration scenarios against a chosen baseline row.

Computes the Pearson (or similar) correlation between mining operating cash reserve values and a set of numeric benchmarks across multiple row inputs.

Computes the local finite-change elasticity of a mining operation's cash reserve with respect to a chosen input variable (daily cost or reserve days), given user-supplied baseline assumptions.

Performs an ordered trend analysis on a series of mining operating cash reserve data points, returning a bounded report based on supplied daily cost and reserve day assumptions.

Ranks a list of mining operations by their operating cash reserve (daily cost × reserve days) and returns a bounded ranking report.

Computes a sequential (waterfall) attribution report showing how changes in daily cost and reserve days individually drive the difference in a mining operation's required cash reserve.

Calculates the target gap for a mining operation's cash reserve based on daily operating costs and the number of days of reserve required.

Computes a weighted arithmetic mean of mining operating cash reserve values (daily cost × reserve days) across multiple mining operation profiles.

Calculates the gap between a mining operation's current contribution margin and a specified target, using supplied revenue and contribution figures.

Computes benchmark correlation between mining operating cost per terahash and user-supplied benchmark values across multiple data rows.

Calculates the gap between a target value and the computed operating cost per unit of hash capacity, given daily mining costs and active terahash rate.

Validates the header/schema contract of a mining payout CSV file (up to 1000 rows), checking column names, data types, value ranges, and category membership.

Validates numeric values in a mining payout CSV file to ensure all figures fall within declared minimum and maximum bounds.

Validates and audits whitespace issues in a mining payout CSV file (up to 1000 rows), checking cell formatting, delimiters, and categorical values.

Computes benchmark correlation statistics for mining payout threshold waiting times given supplied mining assumptions across multiple rows and benchmark values.

Computes a rolling mean of the estimated waiting time to reach a Bitcoin mining payout threshold across multiple data rows, given user-supplied mining assumptions.

Classifies how long a miner must wait to reach a payout threshold given current balance and daily earnings, and assigns the result to a categorical band.

Computes a weighted mean of estimated waiting times until miners reach their payout threshold across multiple mining scenarios.

Computes a Base-100 rebased index of transaction fee burden relative to mining payouts across a supplied series of BTC fee/payout row pairs

Computes the local finite-change elasticity of mining transaction fee burden relative to a small percentage change in either fee or payout amount, given user-supplied baseline BTC values.

Ranks a batch of mining payout records by the ratio of transaction fee to payout amount (fee burden), using supplied BTC figures.

Computes a rolling mean of the transaction fee share relative to mining payouts over a supplied time-series of BTC fee and payout pairs.

Calculates the percentage burden of a Bitcoin transaction fee relative to a mining payout amount for a single input pair.

Calculates the target gap between a mining payout amount in BTC and the transaction fee burden, returning a bounded report based on supplied mining assumptions.

Generates a two-dimensional scenario grid showing how mining payout transaction fee burden varies across combinations of fee_btc and payout_btc values

Computes a weighted mean of the transaction fee burden (fee as a fraction of payout) across multiple mining payout records using supplied BTC fee and payout amounts.

Validates a CSV of mining pool metrics and identifies blank/empty rows in the dataset

Validates cell lengths in a CSV table of mining pool metrics, auditing up to 1000 rows for length compliance against configurable limits.

Validates a CSV table of mining pool metrics (up to 1000 rows) against a declared contract, checking structure, cell lengths, numeric ranges, and category values.

Validates a CSV of mining pool metrics against a declared column contract and projects allowed columns, supporting up to 1000 rows with quoted cells.

Validates CSV record key uniqueness for mining pool metric data, checking up to 1000 rows for duplicate observation IDs.

Validates and normalizes a CSV of mining pool metrics (hashrate, rewards, pool IDs) with trimmed typed conversion, enforcing declared schema contracts up to 1000 rows.

Validates a CSV table of mining pool metrics for whitespace issues, checking up to 1000 rows with support for quoted cells and configurable constraints.

Analyzes mining pool share records by ordering rows numerically and computing correlation between accepted and rejected shares across up to 200 rows.

Performs string normalisation and two-measure correlation analysis on user-supplied mining pool share records (accepted_shares, rejected_shares), delivering two independent analytical reports for up to 200 rows.

Computes a base-100 rebased index of mining power capacity headroom (capacity minus committed load) across multiple time-series or site rows, normalised to a chosen baseline row.

Computes and returns a distribution summary report for mining power capacity headroom across an array of site-level capacity and committed-power observations.

Analyzes ordered trend patterns in mining power capacity headroom (available vs. committed kW) across a series of data points, returning a bounded trend analysis report.

Calculates the target gap (headroom) between total mining power capacity and committed load, given user-supplied capacity and committed kilowatt values against a numeric target.

Classifies whether mining power capacity headroom values fall within a specified lower/upper threshold band, using supplied capacity and committed power figures.

Computes a grouped numeric summary and a secondary-measure weighted mean for supplied mining power log records (kWh and hashrate_ths) over up to 200 rows.

Generates a base-100 indexed rebase report of mining revenue across a series of hashprice and hashrate scenarios, normalizing all values against a chosen baseline row.

Identifies IQR-based statistical outliers in mining revenue estimates calculated from user-supplied hashrate and hashprice inputs.

Ranks a list of mining revenue scenarios by revenue output given user-supplied hashrate (TH/s) and hashprice (USD per PH/day) assumptions.

Computes how a miner's availability-adjusted BTC reward changes between adjacent time periods given full-time BTC reward and uptime percentage inputs.

Calculates availability-adjusted mining rewards for up to 200 rows of fulltime BTC reward and uptime percentage inputs in a single batch call.

Computes a distribution summary of mining rewards adjusted for miner availability percentage across a batch of mining scenario rows.

Computes IQR-based outlier flags for mining rewards adjusted by miner availability percentage across a batch of data rows.

Computes the local finite-change elasticity of mining reward (adjusted for availability) with respect to a specified input field, given a baseline scenario and a percentage step size.

Analyzes ordered trends in BTC mining rewards adjusted for miner availability percentage across a sequence of supplied data points.

Ranks a batch of mining reward records by their availability-adjusted BTC reward, returning a bounded ranking report based on supplied mining assumptions.

Classifies availability-adjusted BTC mining rewards as below, within, or above user-defined lower and upper thresholds for a batch of mining scenarios.

Generates a two-input scenario grid showing mining reward values adjusted for miner availability across combinations of full-time BTC reward and availability percentage inputs.

Computes the Pearson/benchmark correlation between net BTC mining rewards (after pool fee deduction) and a set of user-supplied benchmark values across up to 200 row pairs.

Ranks multiple mining scenarios by net BTC reward after deducting pool fees, returning a bounded ranking report for up to 200 input rows.

Calculates a rolling mean of net Bitcoin mining rewards after deducting pool fees across a series of input rows

Computes the net Bitcoin mining reward after pool fee deduction and performs a sequential before/after attribution analysis showing how each input change contributed to the difference in outcome.

Validates cell length constraints in a CSV file of mining share aggregate data, auditing up to 1000 rows and reporting violations.

Computes column-level statistics for a CSV table of mining share aggregate data, validating up to 1000 rows against a declared contract.

Validates a declared CSV table contract for mining share aggregate data, projecting and checking declared columns for up to 1000 rows.

Validates a CSV of mining share aggregate data and exports a report of invalid rows, checking up to 1000 rows against declared column contracts.

Validates whitespace formatting in a CSV table of mining share aggregate data, checking up to 1000 rows for cell-level whitespace issues against a declared contract.

Computes a Base-100 rebase report for mining simple cash payback across multiple investment/daily-revenue scenarios, normalizing values relative to a chosen base row.

Calculates the target gap for a simple cash payback analysis in cryptocurrency mining, given investment and net daily USD assumptions.

Computes a weighted mean of simple cash payback periods across multiple mining investment scenarios using user-supplied assumptions.

Computes benchmark correlation statistics for mining electricity costs split across peak and off-peak rate tiers, comparing supplied energy usage rows against benchmark values.

Applies IQR-based outlier detection to rows of mining peak/off-peak energy charge data, flagging statistically anomalous entries across up to 200 records.

Ranks a batch of mining energy billing records by total two-rate (peak + off-peak) electricity cost using supplied kWh and USD/kWh assumptions.

Computes a rolling mean of total two-rate (peak + off-peak) energy charges for mining operations across a time series of consumption and rate inputs.

Calculates the gap between a user-supplied revenue or profit target and the computed two-rate (peak/off-peak) energy cost for cryptocurrency mining operations.

Classifies mining energy cost scenarios by threshold bands using peak and off-peak two-rate electricity billing assumptions.

Returns price data from the Allora decentralized AI price prediction network

Returns a curated factual timeline of supply chain intelligence for the robotics, mobility, and automotive electronics (jeongjang) sectors, sourced from regulatory filings, exchanges, and press.

Returns a paid, LLM-generated decision procedure specifying how an AI agent should route inference requests when a new model version is released.

Returns a snapshot of agent-economy market activity including platform supply/demand listings, useful for AI agents monitoring the agent marketplace landscape.

Deposits $1 USDC to receive a prepaid API key with 500 calls for Moneylab's fingerprinting/FP service

Exports a structured dataset of AI tools, business changes, coverage stats, and fee rules tracked by the Moneylab AI-run business experiment

Returns a GBP (Google Business Profile) checklist via a paid x402 micro-payment GET endpoint on Base USDC

Accepts a $0.10 USDC micropayment tip via the x402 protocol on Base and returns a confirmation response.

Returns idle or underutilized App Store Optimization (ASO) keywords for mobile app discovery analysis, paid per-call via x402 USDC micropayment on Base.

Paid POST endpoint on Base that delivers a packaged response upon USDC micropayment authorization via the x402 protocol

Returns a local SEO audit report for a business, analyzing local search visibility factors, paid via USDC over the x402 protocol on Base.

Returns the x402-seller-kit resource from a paid Base USDC storefront, requiring a $1 USDC micropayment via the x402 protocol before delivering the response.

Returns a discovery map of available paid API routes on the MoneyMaker x402 storefront, payable via USDC on Base using the x402 payment protocol.

Verifies the authentication state of an AI agent on the x402 Base USDC payment network using a nonce and authorizer identifier

Generates a random UUID v4 value, payable per-call via x402 USDC micropayment on Base.

Returns module and type entrypoints (main, exports, types fields) from the npm registry metadata for the mongoose package, supporting integration and upgrade planning.

Returns published artifact integrity metadata (checksums, signatures, registry info) for the mongoose npm package to support integration and upgrade planning.

Computes category frequencies and a secondary-measure weighted mean for motion capture records (frame_count, missing_frames) across up to 200 rows, returning two independent analytical reports.

Normalises string fields and flags IQR-based outliers for motion capture records containing frame_count and missing_frames metrics, returning two analytical reports for up to 200 rows.

Returns yield pool data for DeFi protocols on the Base blockchain

Returns a cross-chain swap quote via deBridge for moving tokens between blockchain networks

Returns Total Value Locked (TVL) data for a specified blockchain network

Returns a snapshot of yield data across Meteora DLMM liquidity pools, including TVL, volume, fees, and APR metrics

Returns a decision procedure for defining and enforcing which Slack and MS Teams channels, workspaces, and DM scopes are permitted to invoke or approve agent actions.

Audits data quality and applies numeric row ordering to municipal waste records (collected_tonnes, recycled_tonnes) for up to 200 rows, returning two independent analytical reports.