All Services

Returns a curated list of paid freelance/gig job opportunities filtered by niche, powered by x402 micropayments on Base

Hashes a given text string using a specified algorithm (SHA-256, SHA-512, SHA-1, or MD5) and returns both hex and base64 encoded digests

Generates one or more RFC 4122 UUIDs on demand, paid via x402 micropayment on Base.

Returns a paid, filtered list of monetizable job/opportunity listings from the demand radar, filtered by niche and keyword, paid via x402 USDC on Base

Purchases 1 USDC worth of Mamdani (token contract 0x426D462714440F521eB418C34689b5Cb42852B07) and delivers them to the caller

Searches live public web pages for managed PostgreSQL provider pricing information relevant to agent builders and returns source links with snippets.

Searches live public web pages for managed PostgreSQL provider pricing information, returning source links and snippets tailored for analyst research.

Searches live public web pages for current managed PostgreSQL provider pricing information targeted at technology buyers, returning source links and snippets.

Retrieves the complete event history and statistics for a single live trading bot on the Manta Signal Gate platform

Returns the current live positions and last 24 hours of events for a single live trading bot

Computes period-over-period (adjacent row) changes for manufacturing output metrics (units or defects) across production lines and dates.

Converts up to 200 manufacturing output records (units or defects) into a base-100 indexed series relative to a chosen reference observation.

Computes category frequency distributions across manufacturing output records (line, date, units, defects) for up to 200 typed rows using local numeric processing.

Pivots manufacturing output records by date and category (production line), summarizing units or defects across up to 200 rows

Removes exact duplicate rows from manufacturing output records (line, date, units, defects) and returns a deduplicated dataset of up to 200 typed records.

Fills null or missing numeric values in manufacturing output records (units or defects) using zero, mean, or median imputation across up to 200 typed rows.

Compares two keyed datasets of manufacturing output records (units produced, defects, production line, date) and returns a structured diff of numeric and data-quality differences between matching rows.

Computes a numeric distribution (histogram/summary) for manufacturing output fields (units or defects) across up to 200 typed production records, with local data-quality processing.

Accepts up to 200 manufacturing output records and performs local numeric and data-quality checks, returning a bounded quality audit deliverable per batch.

Computes a secondary-measure weighted mean (e.g. defects-weighted average of units, or vice versa) across up to 200 manufacturing output records, locally, with no external enrichment.

Computes a trailing (rolling) mean time series for manufacturing output metrics (units or defects) across production lines, using locally processed row data.

A paid test endpoint that echoes back a provided string and confirms a successful x402 micropayment on the Base network, used to verify connectivity and payment flow

Returns the top-ranked trading strategies by Sharpe ratio for monthly call frequency, including performance data across multiple time windows.

Returns a ranked list of trading strategies optimized for minimal drawdown over one-month windows, with multi-timeframe performance data.

Returns the top-ranked daily trading strategies sorted by highest directional accuracy (up/down hit rate) over the past 30 days.

Returns a ranked list of the safest (lowest max drawdown) profitable weekly trading strategies, sourced from on-chain and simulated data.

Returns a ranked list of trading strategies that achieved a Sharpe ratio of at least 1.0 over the past year, sorted highest first, with multi-window return data.

Returns a ranked list of the most accurate weekly trading strategies by hit rate (correct up/down calls) over a 1-year window, across cryptocurrency instruments.

Returns a ranked list of the best-performing 1-hour trading strategies by return over the last 7 days, including multi-window performance data.

Returns recent track record changes for ManyLives strategy books, including top-performing strategy IDs and new commit counts since a given timestamp.

Returns the top-ranked daily trading strategies sorted by 30-day Sharpe ratio, with performance data across multiple time windows

Returns a ranked list of hourly trading strategies filtered for profitability and minimum drawdown, with performance data across multiple time windows.

Returns a ranked list of beginner-friendly crypto trading strategies that have been profitable over 30 days, ordered by minimum drawdown.

Returns a ranked list of the best hourly trading strategies sorted by Sharpe ratio over the last 30 days

Returns a ranked list of low-risk trading strategies that have been profitable over a 1-year window, filtered by max drawdown and Calmar ratio criteria.

Returns the top-ranked weekly trading strategies sorted by Sharpe ratio (return per unit of volatility) over a 1-year lookback window.

Fetches a trading strategy's verified track record dossier including returns, luck analysis, proof integrity, and peer ranking by strategy ID.

Returns a ranked list of trading strategies with the highest Sharpe ratio over a five-year window, including per-timeframe return data and data source attribution.

Returns a ranked list of trading/investment strategies that achieved the highest returns over monthly call windows in the past year, ordered by post-cost performance.

Returns a ranked list of the best-performing 5-minute trading strategies sorted by Sharpe ratio over the last 30 days

Returns the ranked list of trading strategies with the highest correct up/down call rate on 1-hour candles over the past 7 days, sourced from on-chain and simulated data.

Returns a ranked list of trading strategies with the highest win ratio over a one-year period, including return percentages across multiple time windows.

Retrieves a list of trading strategy track record books, optionally filtered by market (stocks or crypto), including strategy counts and last commit metadata.

Returns a ranked list of hourly trading strategies that statistically outperform random chance, filtered to exclude luck-driven results.

Retrieves a trading strategy's performance badge including hit rate and return percentage as both an SVG visual and structured JSON data for a given time window.

Calculates period-over-period differences and eligible percent changes in margin of safety across supplied rows of actual vs. break-even sales data, returning no-interpolation results in JSON.

Calculates the Pearson correlation between margin-of-safety values (derived from actual vs. break-even sales rows) and user-supplied benchmark series, returning a descriptive statistical report with formula, units, and limitations.

Calculates trailing full-window rolling means over a series of margin-of-safety observations, preserving gaps for invalid rows, and returns results with formula, units, and limitations.

Classifies up to 200 margin-of-safety values against user-supplied inclusive lower and upper bounds, returning a JSON report with formula, units, and limitations.

Extracts bigram (adjacent word-pair) frequency counts from text within HTML <mark> elements identified by a given attribute and value on a webpage or supplied HTML.

Returns aggregated declared-intent demand data from AI agents — what agents said they needed, their willingness-to-pay, and which endpoints they chose — over a configurable lookback window.

Retrieves trading performance metrics and time series pattern matching results for a given ticker over a specified lookback window

Retrieves historical trading signals with optional filtering by ticker, source, and resolution status

Finds historical analog patterns in financial time series for a given asset and date range using pattern similarity search

Analyzes stock tickers using time series pattern matching to return valuation metrics, fundamentals, and analyst insights

Computes a schedule-delay option-value heuristic for a single infrastructure claim, classifying what approval operation it constrains and what happens on violation.

Counts paired missing values across owner, revision, and content pins in merchant/catalogue/SKU/revision-pinned public product records, detecting co-occurring missingness without treating absent values as matching.

Validates that supplied product catalogue records conform to declared owner, subject, revision, and allowed scope labels, flagging any scope violations without granting access or permissions.

Fetches real-time or latest market data for multiple stock tickers in a single request

Searches and retrieves news articles matching a query string, returning a paginated list of results

Forecasts market demand using verified demand windows, with automatic abstention when sample sizes are too low to produce reliable predictions

Rebases a series of marketing contribution return values against a chosen base observation, returning index-normalised figures with formula, units, and limitations.

Classifies up to 200 marketing contribution return (MCR) values against user-supplied inclusive lower and upper bounds, returning a structured JSON report with formula, units, and limitations.

Returns live market intelligence data for a given crypto or US equity symbol (e.g. BTCUSD)

Returns market intelligence data (price, signals, or analytics) for a given crypto or US equity symbol

Fetches recent financial markets, stocks, and economy news from Google News RSS, curated for product teams.

Fetches recent Google News RSS results about financial markets, stocks, and the economy, tailored for research team workflows.

Searches live public web pages for marketplace commission rates and fee schedules relevant to agent builders, returning source links and snippets.

Searches live public web pages for marketplace commission rates and fee schedules relevant to analysts, returning source links and text snippets.

Searches live public web pages for marketplace commission rates targeted at technology buyers, returning source links and text snippets.

Calculates and compares marketplace net proceeds across adjacent time periods given gross sales, percentage fees, fixed fees, and refunds.

Computes benchmark correlation for net marketplace proceeds calculated from gross sales, fee percentages, fixed fees, and refunds across supplied retail rows

Generates a distribution histogram of marketplace net proceeds computed from supplied gross sale, fee percentage, fixed fee, and refund data across up to 200 rows.

Calculates a distribution summary of net marketplace proceeds from supplied sale, fee, and refund figures across multiple rows

Computes IQR-based outlier flags for marketplace net proceeds derived from supplied gross sale, fee, and refund figures across multiple rows

Calculates local finite-change elasticity of marketplace net proceeds with respect to a chosen fee or revenue variable, given a baseline scenario and step size.

Generates a one-input sensitivity table showing how marketplace proceeds vary as a single fee-related input (gross sale, fee percent, fixed fee, or refunds) changes across a range of supplied values.

Performs ordered trend analysis on a sequence of marketplace transactions to reveal directional patterns in net proceeds after fees and refunds

Ranks multiple marketplace sale records by net proceeds after applying percentage and fixed fees and deducting refunds, using locally supplied figures only.

Computes a rolling mean of net marketplace proceeds (gross sales minus percentage fees, fixed fees, and refunds) over a sliding window across supplied retail rows.

Computes a sequential (waterfall) attribution of how changes in gross sale, fee percentage, fixed fee, and refunds each contribute to the difference in net marketplace proceeds between two scenarios.

Calculates the gap between actual marketplace proceeds (after fees and refunds) and a specified target net proceeds figure, using supplied retail values.

Classifies computed marketplace net proceeds (after fees and refunds) as below, within, or above a defined numeric threshold range

Calculates a weighted mean of net marketplace proceeds across multiple sales rows, each defined by gross sale, percentage fee, fixed fee, and refunds.

Searches the web via Bing to find public market-size estimates and source reports specifically for the consulting industry.

Searches live Bing web results to find public market-size estimates and source reports, tailored for research teams.

Returns a full snapshot of DEX trading activity and chain state including pools, balances, and market metrics from live AmanChain consensus.

Returns a full DEX and blockchain snapshot including pools, balances, and market state from live consensus data

Computes adjacent row changes and an equal-width histogram for market survey observation fields (respondent_count or sample_weight) across up to 200 rows, returning two analytical reports.

Computes adjacent row-to-row changes and a sample-weight-based weighted mean for up to 200 market survey observation records in a single call.

Computes adjacent row changes and two-measure correlation for market survey observation data (respondent_count and sample_weight) across up to 200 rows.

Generates a Base-100 index series and an equal-width histogram for supplied market survey observation data (respondent_count or sample_weight), covering up to 200 rows.

Computes a base-100 indexed time series and fills missing values (zero, mean, or median) for market survey observation records containing respondent counts and sample weights.

Runs two analytical reports (Base-100 indexed time series and keyed dataset comparison) on supplied market survey observation data for respondent_count or sample_weight fields.

Computes a Base-100 index series and a two-measure correlation report for uploaded market survey observation rows containing respondent count and sample weight fields.

Computes category frequency distributions and a base-100 index series from supplied market survey observation rows (respondent_count or sample_weight field), returning two analytical reports for up to 200 rows.

Analyzes up to 200 market survey observation rows to produce two reports: category frequency breakdown by company group and a daily sum time series for respondent_count or sample_weight.

Computes category frequency counts and an equal-width histogram for market survey observation records (respondent_count or sample_weight), for up to 200 rows.

Computes category frequencies and IQR-based outlier flags for market survey observation records, covering respondent_count or sample_weight fields across up to 200 rows.

Analyzes up to 200 market survey observation records to produce two reports: category frequency distributions and a keyed comparison between two datasets, using local analytical engines.