All Services

Computes the statistical correlation between two numeric measures (documents and processing_minutes) across document workflow records, returning a correlation coefficient and data-quality summary.

Finds Coinbase Exchange USD and USDC market pairs matching a given cryptocurrency symbol (e.g. DOGE/USD, DOGE/USDC) using live Coinbase Exchange data.

Returns the latest open, high, low, and rolling 24h volume for DOGE-USD from Coinbase Exchange live data

Recomputes a sample dokimo-merkle-v1 proof to its root as a demo of Merkle-based document verification (without on-chain anchor check)

Given a company domain, name, or work email, returns structured JSON with CEO, founders, and key leaders including LinkedIn profiles

Validates hostname syntax against public-domain rules and normalizes internationalized domain names (IDNs) using DNS data only.

Validates that a hostname has correct public-domain syntax and normalizes internationalized domain names (IDNs) using DNS data only.

Validates that a hostname has correct public-domain syntax and normalizes internationalized domain names (IDNs) using DNS data only, without sending email or verifying inbox existence.

Accepts a domain and optional MX baseline and returns WHOIS, DNS, mail policy, TLS certificate, and subdomain intelligence, with specific focus on SendGrid MX record analysis, paid per call in USDC via x402.

Returns domain intelligence including WHOIS, DNS, mail policy, TLS certificate, and subdomains for a given domain, with optional MX record baseline comparison, paid per-call in USDC via x402

Computes period-over-period adjacent row changes (deltas) for donation campaign records across up to 200 rows, returning local descriptive analytics with no enrichment or forecasting.

Computes a Base-100 index series for donation campaign records, normalizing up to 200 rows of campaign data relative to a chosen baseline row.

Computes an equal-width histogram over donation campaign records (donations count or amount) using up to 200 user-supplied rows, returning a local descriptive analytics report.

Identifies and reports exact duplicate rows within a supplied set of donation campaign records (up to 200 rows), returning a deduplication report with no external enrichment.

Computes grouped descriptive statistics (sum, mean, min, max, count, etc.) for donation campaign records, segmented by campaign group, over up to 200 supplied rows.

Identifies statistical outliers in donation campaign records using Interquartile Range (IQR) analysis across up to 200 rows of campaign data.

Compares two sets of donation campaign records row-by-row using keyed matching, producing a local descriptive analytics report of differences

Filters up to 200 donation campaign records by a numeric range (min/max) on a chosen field, returning only rows within the specified interval.

Audits up to 200 donation campaign records locally for data quality issues, returning a bounded descriptive analytics report with no enrichment or forecasting.

Normalises string fields (campaign names, dates) across up to 200 donation campaign records and returns a local descriptive analytics report.

Computes a trailing (rolling) mean series over donation campaign records for a specified numeric field and window size, returning local descriptive analytics without enrichment or forecasting.

Returns an LLM-generated or deterministic decision procedure for adjudicating double-pay risk and evaluating emerging payment rails (XRPL, Solana, Casper csprUSD) for agent payment settlement via x402.

Returns module and type entrypoints from the npm registry metadata for the drizzle-orm package at a specified version.

Retrieves published artifact integrity metadata for the drizzle-orm npm package, supporting integration and upgrade planning.

Returns runtime and platform constraints metadata for the drizzle-orm npm package to support integration and upgrade planning.

Executes fast conversational text generation and instruction following via decentralized high-availability LLM nodes using a single prompt input.

Dispatches cross-border cryptocurrency payouts across Base, Solana, and Ethereum with optimized gas estimation and cryptographic batch transaction hashes.

Retrieves pricing information for the dTelecom real-time speech-to-text (STT) service that converts streaming audio to transcriptions via WebSocket sessions

Extends an existing real-time speech-to-text session to keep it active beyond its initial duration

Analyzes duplicate observation records by generating two local reports: an adjacent row change analysis and an equal-width histogram, for up to 200 rows of duplicate_rows/total_rows data.

Analyzes duplicate observation records by computing adjacent row changes and filling missing values (zero, mean, or median) for duplicate_rows or total_rows fields across up to 200 rows.

Analyzes duplicate observation records (duplicate_rows, total_rows) with two independent local reports: adjacent row change detection and keyed dataset comparison across up to 200 rows.

Generates two analytical reports (Base-100 indexed series and a date-by-category pivot) from supplied duplicate observation row data, for up to 200 rows.

Generates a Base-100 indexed time series and an equal-width histogram for supplied duplicate observation records (duplicate_rows, total_rows) using local analytical engines.

Computes a Base-100 indexed time series and IQR-based outlier flags for duplicate_rows and total_rows metrics across up to 200 supplied data records.

Generates two analytical reports (Base-100 indexed time series and keyed dataset comparison) for duplicate-observation metrics (duplicate_rows, total_rows) across up to 200 supplied records.

Computes a Base-100 indexed time series and a two-measure correlation report for supplied duplicate-observation records (duplicate_rows, total_rows) — up to 200 rows, two independent analytical reports per call.

Analyzes duplicate observation records by computing category frequencies and detecting adjacent row changes across up to 200 rows, returning two independent analytical reports.

Runs two local analytical reports on supplied duplicate-observation records: a category-frequency breakdown and a date-by-category pivot table.

Analyzes duplicate observation records to produce two reports: category frequency breakdowns and a keyed comparison between two datasets, for up to 200 rows each.

Analyzes up to 200 duplicate-observation records, producing two local reports: category frequency distribution by dataset_group and numeric row ordering for duplicate_rows or total_rows.

Computes category-frequency distribution and secondary-measure weighted mean for up to 200 duplicate-observation records in two independent analytical reports.

Analyzes duplicate observation records to produce category frequency distributions and a two-measure correlation report for up to 200 rows.

Analyzes supplied duplicate-observation records to produce a daily sum series and adjacent row change report, returning two analytical reports for up to 200 rows.

Generates two analytical reports (daily sum time series and date-by-category pivot table) for supplied duplicate-observation records up to 200 rows.

Generates two local analytical reports (daily sum time series and equal-width histogram) for supplied duplicate-observation records with duplicate_rows and total_rows fields.

Analyzes duplicate observation records by generating a daily sum time series and a keyed dataset comparison report for up to 200 rows of supplied data.

Computes a daily sum series and a secondary-measure weighted mean from supplied duplicate observation records (duplicate_rows, total_rows) for up to 200 rows.

Computes a daily sum time series and a trailing moving-average series for supplied duplicate-observation records (duplicate_rows and total_rows fields), returning two independent analytical reports for up to 200 rows.

Computes a daily sum time series and a two-measure correlation report for supplied duplicate_rows and total_rows data, up to 200 rows.

Pivots duplicate-observation records by date and category, then fills missing values using zero, mean, or median imputation — returns two analytical reports for up to 200 rows.

Runs two local analytical reports on duplicate observation records: a date-by-category pivot table and a keyed comparison between two datasets, for up to 200 rows.

Generates a duplicate key frequency report and a Base-100 indexed series for supplied duplicate observation records, using local analytical engines with no external lookups.

Analyzes up to 200 duplicate observation records to produce a duplicate key report and category frequency breakdown in two independent analytical reports.

Generates two analytical reports — a duplicate key report and a date-by-category pivot — from supplied duplicate observation records (duplicate_rows, total_rows) for up to 200 rows.

Analyzes up to 200 rows of duplicate-observation data to produce a duplicate key report and fill explicit missing values using zero, mean, or median imputation.

Analyzes supplied duplicate observation records to produce a duplicate key report and a grouped numeric summary of duplicate_rows and total_rows fields across up to 200 rows.

Analyzes up to 200 supplied duplicate-observation records to produce a duplicate key report and a numeric interval filter report for the duplicate_rows or total_rows field.

Analyzes supplied duplicate observation records to produce a duplicate key report and a trailing mean series for up to 200 rows, using local analytical engines with no external lookups.

Analyzes up to 200 rows of duplicate observation records to produce a duplicate key report and a two-measure correlation analysis between duplicate_rows and total_rows.

Generates an equal-width histogram and a date-by-category pivot table for supplied duplicate observation records (duplicate_rows, total_rows) in a single call.

Analyzes duplicate_rows and total_rows data by generating an equal-width histogram and filling missing values with zero, mean, or median — returning two analytical reports for up to 200 supplied rows.

Runs two local analytical reports on duplicate-observation records: an equal-width histogram of a chosen field and a keyed side-by-side comparison of two datasets, for up to 200 rows.

Runs an equal-width histogram and a two-measure correlation report on supplied duplicate-observation records (duplicate_rows, total_rows) — up to 200 rows, two independent analytical reports per call.

Analyzes supplied duplicate-observation records to produce exact row deduplication stats and category-frequency breakdowns across up to 200 rows.

Performs exact row deduplication analysis and computes a daily sum time series for supplied duplicate-observation records, returning two independent analytical reports in a single call.

Runs two local analytical reports on supplied duplicate-observation records: exact row deduplication and a date-by-category pivot table, for up to 200 rows at once.

Performs exact row deduplication and generates a duplicate key report for up to 200 supplied duplicate-observations records using local analytical engines.

Performs exact row deduplication analysis and equal-width histogram generation on supplied duplicate observation records (duplicate_rows, total_rows fields).

Performs exact row deduplication and IQR-based outlier flagging on up to 200 duplicate observation records containing duplicate_rows and total_rows metrics.

Runs two analytical reports on supplied duplicate-observation records: exact row deduplication and numeric distribution analysis for duplicate_rows and total_rows fields.

Analyzes supplied duplicate-observation records to perform exact row deduplication and filter rows by a numeric interval on a chosen field, returning two independent analytical reports.

Performs exact row deduplication and numeric row ordering analysis on supplied duplicate_rows and total_rows data, returning two independent analytical reports for up to 200 rows.

Analyzes supplied duplicate-observation records to produce exact row deduplication stats and a trailing mean time series for up to 200 rows.

Analyzes supplied duplicate-observation records to produce two local analytical reports: a grouped numeric summary and an adjacent row changes report, for up to 200 rows.

Computes a grouped numeric summary and a base-100 indexed time series for up to 200 duplicate-observation records containing duplicate_rows and total_rows fields.

Runs two local analytical reports on duplicate observation data: a grouped numeric summary and category frequency breakdown for duplicate_rows and total_rows fields across up to 200 rows.

Computes a grouped numeric summary and a daily sum time series for supplied duplicate-observation records (duplicate_rows, total_rows) across up to 200 rows.

Analyzes up to 200 duplicate-observation records, producing a grouped numeric summary and a date-by-category pivot table as two independent analytical reports.

Analyzes duplicate observation records by producing a grouped numeric summary and an equal-width histogram for either the duplicate_rows or total_rows field, across up to 200 rows.

Computes a grouped numeric summary and fills missing values for duplicate_rows and total_rows fields across up to 200 supplied observation records.

Computes grouped numeric summary statistics and IQR-based outlier flags for up to 200 duplicate-observation records, analyzing either duplicate_rows or total_rows fields across dataset groups.

Runs two offline analytical reports on duplicate_rows/total_rows data: a grouped numeric summary and a keyed dataset comparison between two supplied datasets (up to 200 rows each).

Generates a grouped numeric summary and a numeric interval filter report for supplied duplicate_rows/total_rows observation data, up to 200 rows, returning 2 analytical reports per call.

Computes a grouped numeric summary and a trailing mean series for duplicate-observation records (duplicate_rows, total_rows) across up to 200 rows using local analytical engines.

Analyzes up to 200 duplicate-observation records by computing a grouped numeric summary and a two-measure correlation between duplicate_rows and total_rows.

Analyzes supplied duplicate-observation records to produce two offline reports: IQR-based outlier flags and a date-by-category pivot table, for up to 200 rows.

Analyzes up to 200 rows of duplicate-observation records to flag IQR-based outliers and fill missing values in duplicate_rows or total_rows fields, returning two analytical reports.

Runs two local analytical reports on duplicate-observation records: IQR-based outlier detection and a keyed comparison between two supplied datasets, for up to 200 rows.

Analyzes duplicate observation records to produce IQR-based outlier flags and a secondary-measure weighted mean across up to 200 rows in two independent reports.

Analyzes supplied duplicate-observation records (duplicate_rows, total_rows) to produce IQR-based outlier flags and a two-measure correlation report for up to 200 rows.

Analyzes up to 200 supplied duplicate-observation records, producing two independent reports: a numeric distribution analysis and an adjacent row change analysis for duplicate_rows or total_rows fields.

Generates two analytical reports (numeric distribution and base-100 indexed series) for supplied duplicate-observation records containing duplicate_rows and total_rows fields.

Computes numeric distribution statistics and category frequency counts for supplied duplicate observation records (duplicate_rows, total_rows) across up to 200 rows using local analytical engines.

Generates two local analytical reports—numeric distribution stats and a date-by-category pivot—for up to 200 duplicate-observation records (duplicate_rows, total_rows).

Runs two local analytical reports on duplicate-observation records: a numeric distribution analysis and a keyed dataset comparison, for up to 200 rows of duplicate_rows/total_rows data.

Computes numeric distribution statistics and a secondary-measure weighted mean for supplied duplicate-observation records (duplicate_rows, total_rows) across up to 200 rows in two independent analytical reports.

Computes a numeric distribution summary and a trailing mean time series for supplied duplicate_rows and total_rows observation records, locally, with no external lookups.

Filters duplicate observation records by a numeric range on a chosen field and computes a daily sum series, delivering two analytical reports for up to 200 rows.

Runs two local analytical reports on supplied duplicate-observation data: a numeric interval filter on duplicate_rows or total_rows, and a date-by-category pivot table.