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Filters treasury supplied balance records by a numeric range on opening or closing balance, then computes a daily sum time series for up to 200 rows across two bundled analytical reports.
Filters treasury supplied balance records (opening_balance or closing_balance) within a numeric interval and flags statistical outliers using IQR analysis, returning up to 2 analytical reports for up to 200 rows.
Filters treasury balance records by a numeric interval and computes a secondary-measure weighted mean across opening and closing balances for up to 200 rows.
Filters treasury balance records by a numeric interval and computes a two-measure correlation between opening and closing balances, returning up to 2 analytical reports for up to 200 rows.
Analyzes treasury balance records by applying numeric row ordering and computing adjacent-row changes for opening_balance or closing_balance fields across up to 200 rows.
Computes numeric row ordering and a Base-100 index series for treasury balance records (opening and closing balances) across up to 200 rows using local analytical engines.
Sorts treasury balance records by numeric value and compares two keyed datasets of opening/closing balances, returning two analytical reports for up to 200 rows.
Runs two analytical reports on treasury balance records: a record quality audit and adjacent row change analysis for opening_balance or closing_balance fields, across up to 200 rows.
Runs two analytical reports on treasury balance data: a record quality audit and a date-by-category pivot table for opening or closing balances across instrument groups.
Runs a record quality audit and an equal-width histogram analysis on up to 200 treasury balance records (opening_balance or closing_balance), returning two independent analytical reports.
Runs three analytical reports (record quality audit, exact row deduplication, and category frequencies) on up to 200 rows of treasury balance data containing opening and closing balances.
Runs three analytical reports on treasury balance data: a record quality audit, exact row deduplication, and a daily sum time series for opening or closing balances.
Runs three local analytical reports on treasury balance data: a record quality audit, exact row deduplication, and a grouped numeric summary of opening/closing balances.
Runs three analytical reports (record quality audit, exact row deduplication, and numeric distribution) on up to 200 treasury balance records containing opening and closing balance fields.
Audits data quality and fills missing values (opening_balance or closing_balance) in treasury balance records using zero, mean, or median imputation, for up to 200 rows.
Audits data quality and sorts rows numerically for treasury supplied balance records (opening_balance, closing_balance) across up to 200 rows, returning two independent analytical reports.
Audits record quality and normalises strings for treasury balance data (opening and closing balances), producing two independent analytical reports for up to 200 rows.
Runs three local analytical reports (record quality audit, string normalisation, and base-100 index series) on user-supplied treasury balance rows (opening_balance, closing_balance) for up to 200 records.
Computes a secondary-measure weighted mean and a date-by-category pivot table for user-supplied treasury balance records (opening and closing balances), returning two analytical reports.
Computes a secondary-measure weighted mean and performs a keyed dataset comparison across two sets of treasury supplied balance records (opening and closing balances) for up to 200 rows each.
Normalises string fields and computes daily sum time series for treasury-supplied balance records (opening_balance or closing_balance) across up to 200 rows.
Runs two local analytical reports (string normalisation and duplicate key detection) on up to 200 treasury balance records containing opening and closing balance fields.
Normalises string fields and flags IQR-based outliers in treasury balance records (opening_balance and closing_balance) for up to 200 supplied rows.
Computes trailing moving averages and adjacent row-to-row changes for treasury opening/closing balance time series data, returning two analytical reports for up to 200 rows.
Computes trailing moving-average series and a base-100 indexed series for treasury supplied balance records (opening or closing balance) across up to 200 rows, returning two analytical reports.
Computes correlation between opening_balance and closing_balance for treasury records and fills missing values using a specified strategy (zero, mean, or median), returning two analytical reports for up to 200 rows.
Mints a digital 'rock' NFT-like collectible on treat.rocks for $2.00 USDC, returning a unique verifiable rock ID
Computes adjacent row-to-row changes and an equal-width frequency histogram for tree canopy observation records (canopy_m2 and plot_m2) over up to 200 rows.
Analyzes up to 200 tree canopy observation records to produce two reports: sequential row-to-row change detection and a keyed comparison between two supplied datasets
Computes adjacent-row delta changes and Pearson/rank correlation between canopy_m2 and plot_m2 for up to 200 tree canopy observation records, returning two analytical reports.
Computes a Base-100 index series and a plot_m2-weighted mean for supplied tree canopy observation records (canopy_m2, plot_m2) across up to 200 rows.
Analyzes up to 200 tree canopy observation records by computing category frequencies and an equal-width histogram for canopy_m2 or plot_m2 fields.
Computes category frequency counts and applies a numeric interval filter to supplied tree canopy observation records (canopy_m2, plot_m2), returning two analytical reports for up to 200 rows.
Computes category frequency counts and numeric row ordering for up to 200 tree canopy observation records (canopy_m2, plot_m2 fields).
Computes category frequencies and Pearson/Spearman correlation between canopy_m2 and plot_m2 fields across up to 200 supplied tree canopy observation rows.
Computes two local analytical reports on supplied tree canopy observation rows: a daily sum time series and a date-by-category pivot table, for up to 200 rows.
Computes a daily sum time series and an equal-width histogram for supplied tree canopy observation records (canopy_m2 and plot_m2 fields), returning two analytical reports for up to 200 rows.
Computes daily sum time series and performs keyed dataset comparison on user-supplied tree canopy observation records (canopy_m2, plot_m2) for up to 200 rows.
Computes daily sum series and secondary-measure weighted mean for tree canopy observation records (canopy_m2, plot_m2) across station groups, returning two analytical reports for up to 200 rows.
Computes daily sum series and trailing mean series for tree canopy area (canopy_m2) and plot area (plot_m2) observations across supplied records, grouped by station and date.
Computes daily sum time series and Pearson/two-measure correlation between canopy_m2 and plot_m2 for up to 200 supplied tree canopy observation records.
Pivots tree canopy observation records by date and station group, then fills missing values using zero, mean, or median imputation — returning two analytical reports per call.
Analyzes up to 200 rows of tree canopy observation records to produce a duplicate key report and a daily sum time series for canopy_m2 or plot_m2 measurements.
Analyzes up to 200 tree canopy observation rows to identify duplicate row keys and fill missing numeric values (canopy_m2 or plot_m2) using zero, mean, or median imputation.
Runs a duplicate key report and a two-measure Pearson/correlation analysis on user-supplied tree canopy observation records (canopy_m2 vs plot_m2) for up to 200 rows.
Generates an equal-width histogram and a date-by-category pivot table for tree canopy observation records (canopy_m2, plot_m2) — two analytical reports from supplied data, no external lookups.
Computes an equal-width histogram and fills missing values for tree canopy observation records (canopy_m2, plot_m2) using a chosen fill method, returning two analytical reports for up to 200 rows.
Generates an equal-width histogram and IQR-based outlier flags for up to 200 tree canopy observation records across canopy_m2 and plot_m2 fields.
Computes an equal-width histogram and a secondary-measure weighted mean for up to 200 tree canopy observation records using local analytical engines.
Deduplicates tree canopy observation records and generates an equal-width histogram for canopy_m2 or plot_m2 values, returning two analytical reports for up to 200 rows.
Computes grouped numeric summary statistics and category frequency distributions for up to 200 tree canopy observation records (canopy_m2, plot_m2) using local analytical engines.
Analyzes up to 200 tree canopy observation records, returning a grouped numeric summary and a daily sum time series for canopy_m2 or plot_m2 fields.
Computes grouped numeric summaries and fills missing values (canopy_m2, plot_m2) for up to 200 tree canopy observation records using two local analytical reports.
Computes a grouped numeric summary and applies a numeric interval filter on supplied tree canopy observation records (canopy_m2, plot_m2), returning up to 2 analytical reports for up to 200 rows.
Computes a grouped numeric summary and a trailing mean time series for tree canopy observation records (canopy_m2, plot_m2) using local analytical engines.
Computes a grouped numeric summary and a two-measure correlation (canopy_m2 vs plot_m2) from user-supplied tree canopy observation records using local analytical engines.
Runs IQR-based outlier detection and two-measure correlation analysis on supplied tree canopy observation records (canopy_m2 and plot_m2) for up to 200 rows.
Computes numeric distribution statistics and adjacent row change analysis for tree canopy observation records (canopy_m2, plot_m2) across up to 200 rows.
Computes numeric distribution statistics and category frequency counts for up to 200 tree canopy observation records across canopy_m2 and plot_m2 fields.
Computes a numeric distribution summary and fills missing values for tree canopy observation records (canopy_m2, plot_m2) using local analytical engines.
Computes a numeric distribution report and a numeric interval filter report for user-supplied tree canopy observation records (canopy_m2 and plot_m2 fields), returning two analytical reports for up to 200 rows.
Computes numeric distribution statistics and a trailing mean time series for supplied tree canopy and plot area observations (canopy_m2, plot_m2) across up to 200 rows.
Runs two analytical reports on supplied tree canopy observation records: filters rows by a numeric interval and computes a Base-100 index series, using local computation engines with no external data lookup.
Filters tree canopy observation rows by a numeric range on canopy_m2 or plot_m2, then produces a date-by-category pivot table — two analytical reports from supplied data, up to 200 rows.
Applies a numeric interval filter and generates an equal-width histogram for up to 200 tree canopy observation records (canopy_m2, plot_m2) in a single call.
Filters tree canopy observation records by a numeric interval and flags IQR-based outliers across up to 200 rows, returning two analytical reports for canopy_m2 or plot_m2 fields.
Computes numeric row ordering and a daily sum series for up to 200 tree canopy observation records (canopy_m2 or plot_m2), returning two local analytical reports per call.
Analyzes user-supplied tree canopy observation records to produce two reports: a numerically ordered row ranking and a date-by-category pivot table for canopy or plot area measurements.
Runs a record quality audit and adjacent row change report on up to 200 tree canopy observation records (canopy_m2, plot_m2) using local analytical engines — no external lookups or predictions.
Runs two analytical reports on supplied tree canopy observation data: a record quality audit and a daily sum series, for up to 200 rows.
Runs two independent data-quality reports (record quality audit and duplicate key detection) on up to 200 tree canopy observation rows containing canopy_m2 and plot_m2 fields.
Runs three local analytical reports on tree canopy observation records: a record quality audit, exact row deduplication, and category frequency analysis — all in one call for up to 200 rows.
Runs three analytical reports on tree canopy observation records: a data quality audit, exact row deduplication, and an equal-width histogram over canopy_m2 or plot_m2 values.
Audits data quality and filters by numeric interval for up to 200 tree canopy observation records (canopy_m2, plot_m2), returning two independent analytical reports.
Runs three analytical reports on tree canopy observation records: a record quality audit, string normalisation, and a base-100 indexed time series — all computed locally without external lookups.
Runs three analytical reports on tree canopy observation records: a record quality audit, string normalisation, and explicit missing-value fill for canopy_m2 and plot_m2 fields.
Audits record quality, normalises strings, and compares keyed datasets for up to 200 tree canopy observation records (canopy_m2, plot_m2) in three independent analytical reports.
Audits quality of tree canopy observation records and computes correlation between canopy_m2 and plot_m2 measurements for up to 200 rows.
Normalises string fields and computes grouped numeric summaries for tree canopy observation records (canopy_m2, plot_m2) across up to 200 rows.
Computes a trailing mean time series and adjacent row changes for user-supplied tree canopy observation records (canopy_m2 or plot_m2), returning two analytical reports for up to 200 rows.
Computes a trailing mean time series and IQR-based outlier flags for up to 200 tree canopy or plot observation records, returning two analytical reports per call.
Computes a trailing mean time series and performs a keyed dataset comparison on supplied tree canopy observation records (canopy_m2, plot_m2) for up to 200 rows.
Runs two analytical reports on supplied tree canopy observation data: a correlation analysis between canopy_m2 and plot_m2 measures, and a date-by-station-group pivot table.
Computes Pearson correlation between canopy_m2 and plot_m2 measurements and performs a row-keyed comparison between two supplied tree canopy datasets, returning two analytical reports for up to 200 rows.
Processes tabular records through a four-step pipeline: trims text whitespace, removes duplicate rows, filters rows matching a text query, and counts values by group.
Processes a batch of records through four sequential steps: trim text fields, remove duplicate rows, filter rows matching a text pattern, and compute a numeric summary.
Processes an array of records through four sequential steps: trim text fields, remove duplicate rows, match text in a column, and sort numbers descending.
Fetches recent Flashbots relay payloads showing MEV builder activity, extracted ETH value, and gas usage across recent blocks
Returns subscription details and payment instructions for a 30-day /scam-scan access pass costing $30 USDC on Base
Verifies and resolves ambiguous or failed write attempts by checking idempotency and confirming whether a prior transaction or state-change actually succeeded after a timeout or connection reset.
Returns a downloadable snapshot of one of three curated agent datasets: the x402 pay-per-call registry, a prompt-injection test corpus, or an MCP price index.
Returns a single bundled snapshot of cheapest gas prices, top token prices with momentum verdicts, DeFi TVL movers, and available AI models with a plain-English trip brief — all in one call for $0.05 USDC.
Returns a paginated list of recently paid bounties with payout proof, confirming that bounty boards have actually disbursed funds.
Returns a blunt, LLM-generated decision procedure for verifying TRON TRC-20 asset models before an agent makes a payment on the TRON rail via x402-style micropayments.
Returns structured agricultural land (foncier agricole) data for French overseas departments (DOM) in the Caribbean, filtered by department code.
Returns structured biodiversity data for Guadeloupe from the Caribbean Data Marketplace
Checks whether a given website URL has a robots.txt file and returns machine-crawlability metadata for that site.
Runs a named quantitative/mathematical calculator function with supplied parameters, paid per call via HTTP 402.
Returns a list of 'dead' or delisted tokens on TrustDex, optionally filtered by chain, representing tokens that have been flagged or removed from trading.
Returns the named services driving infrastructure-category demand in the agent market, paid via x402 micropayment at $0.03 USDC per call.