All Services

Normalises strings and applies numeric row ordering to firewall rule review records (rules_reviewed, rules_removed) across up to 200 rows, producing 2 independent analytical reports.

Computes two analytical reports (adjacent row changes and date-by-category pivot) for font production records containing glyph count and kerning pair metrics, for up to 200 rows.

Computes adjacent row-to-row changes and two-measure correlation for font production records (glyph_count, kerning_pairs) over up to 200 rows, returning two analytical reports.

Generates equal-width histogram bins and fills missing values for font production data (glyph_count, kerning_pairs) across up to 200 rows, producing 2 analytical reports.

Deduplicates font production records and computes a two-measure correlation between glyph_count and kerning_pairs for up to 200 rows, returning two analytical reports.

Computes numeric distribution statistics and row ordering reports for font production records (glyph_count and kerning_pairs fields) across up to 200 rows.

Applies numeric row ordering and Base-100 indexing to font production records (glyph_count or kerning_pairs) across up to 200 rows, returning two analytical reports per call.

Applies numeric row ordering and daily sum series analysis to font production records (glyph_count or kerning_pairs) for up to 200 rows, returning two independent analytical reports.

Produces two analytical reports for font production data: numeric row ordering and a date-by-category pivot, for up to 200 rows of glyph_count or kerning_pairs data.

Sorts font production records by date and fills missing glyph_count or kerning_pairs values using zero, mean, or median imputation, delivering two analytical reports for up to 200 rows.

Ranks font production records by a numeric field and compares two keyed datasets, returning two analytical reports for glyph_count and kerning_pairs data.

Sorts font production records by a chosen numeric field and filters them to a specified numeric range, returning up to two analytical reports on glyph_count and kerning_pairs data.

Sorts font production records by a numeric field and computes a secondary-measure weighted mean across up to 200 supplied rows, returning two analytical reports.

Runs two analytical reports on font production records — a data quality audit and adjacent-row change detection — for up to 200 rows of glyph_count or kerning_pairs data.

Audits quality of font production records (glyph_count, kerning_pairs) and orders rows numerically, returning two independent analytical reports for up to 200 rows.

Runs a quality audit report and a secondary-measure weighted mean analysis on supplied font production records (glyph_count or kerning_pairs) for up to 200 rows.

Runs two local analytical reports (string normalisation and daily sum series) on font production records containing glyph_count and kerning_pairs fields, for up to 200 rows.

Runs two local analytical reports on font production data: string normalisation of asset group labels and a date-by-category pivot on glyph_count or kerning_pairs, for up to 200 rows.

Performs string normalisation and secondary-measure weighted mean analysis on font production records (glyph_count, kerning_pairs) for up to 200 rows, returning 2 analytical reports.

Performs string normalisation and two-measure correlation analysis on up to 200 font production records (glyph_count, kerning_pairs), returning two independent analytical reports.

Analyzes supplied forecast verification data (forecast_value and observed_value) to produce adjacent row change calculations and IQR-based outlier flags across up to 200 rows.

Computes a daily sum series and fills missing values (zero, mean, or median) for forecast vs. observed value records, returning two analytical reports for up to 200 rows.

Analyzes up to 200 rows of forecast/observed value pairs to produce a duplicate key report and an adjacent row changes report, entirely from supplied data with no external lookups.

Deduplicates forecast verification rows and computes numeric distribution statistics for forecast_value or observed_value fields across up to 200 records.

Computes a numeric distribution report and a Base-100 index series for up to 200 rows of forecast/observed value pairs, with no live data lookup or external action.

Applies a numeric interval filter and computes a daily sum series on supplied forecast vs. observed value records, returning two analytical reports for up to 200 rows.

Analyzes forecast verification data (forecast vs observed values) by producing two local reports: numeric row ordering and a date-by-category pivot, for up to 200 rows.

Sorts forecast verification rows numerically and fills missing forecast_value or observed_value fields using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

Analyzes up to 200 rows of forecast vs. observed value pairs, producing two reports: numeric row ordering and keyed dataset comparison across station groups and dates.

Runs three local analytical reports (record quality audit, exact row deduplication, and daily sum series) on up to 200 forecast verification input rows containing forecast and observed values.

Runs three local analytical reports (record quality audit, string normalisation, and base-100 indexed series) on up to 200 rows of forecast-vs-observed weather verification data.

Runs three local analytical reports (record quality audit, string normalisation, and daily sum series) on up to 200 rows of forecast verification data containing forecast_value and observed_value fields.

Runs three local analytical reports on forecast verification data (up to 200 rows): a record quality audit, string normalisation, and grouped numeric summary of forecast_value and observed_value fields.

Audits data quality and computes two-measure correlation for up to 200 forecast vs. observed value records, returning two analytical reports.

Computes a secondary-measure weighted mean and performs keyed dataset comparison on up to 200 rows of forecast vs. observed values, returning 2 analytical reports per call.

Performs string normalisation and adjacent row change analysis on forecast verification input records (forecast_value, observed_value) for up to 200 rows, returning 2 bundled analytical reports.

Normalises strings and fills missing values in forecast verification records (forecast_value, observed_value) for up to 200 rows, returning 2 analytical reports.

Returns an x402 Payment Required challenge to initiate micropayment-gated API access for discovery clients.

Executes a payment-protected marketplace listing or bundle purchase transaction, charging $0.01 USDC per call via the x402 payment protocol.

Computes a daily sum time series and performs a keyed dataset comparison for supplied form inventory records with field_count and labelled_fields metrics.

Analyzes supplied form inventory records to produce a duplicate key report and numeric row ordering for up to 200 rows across two independent analytical reports.

Deduplicates exact duplicate rows and applies numeric ordering to form inventory records containing field_count and labelled_fields metrics, returning two analytical reports.

Audits record quality and detects adjacent row changes in form inventory data (field_count, labelled_fields) for up to 200 rows, returning two independent analytical reports.

Audits record quality and normalises strings in form inventory data (field_count, labelled_fields), producing two independent analytical reports for up to 200 rows.

Runs three analytical reports on form inventory data: a record quality audit, string normalisation, and a secondary-measure weighted mean, for up to 200 rows of field_count and labelled_fields data.

Normalises site group strings and filters form inventory records by a numeric interval on field_count or labelled_fields, returning 2 analytical reports for up to 200 rows.

Performs string normalisation and two-measure correlation analysis on form inventory records (field_count, labelled_fields) for up to 200 rows, returning two independent analytical reports.

Runs two local analytical reports (record quality audit and adjacent row changes) on up to 200 rows of forum topic activity data (thread_count, reply_count) for a chosen field.

Audits data quality and removes exact duplicate rows from forum topic activity records containing thread_count and reply_count fields, producing two independent analytical reports.

Performs a data quality audit and a secondary-measure weighted mean calculation on forum topic activity records (thread_count, reply_count) for up to 200 rows.

Runs three local analytical reports on forum topic activity data (thread_count, reply_count): a record quality audit, string normalisation, and keyed dataset comparison across two supplied datasets of up to 200 rows each.

Normalises string fields and identifies duplicate keys in forum topic activity records (thread_count, reply_count) for up to 200 rows, returning two independent analytical reports.

Audits frame timing records (frame_ms, draw_calls) for data quality issues and orders rows numerically, producing two independent analytical reports for up to 200 rows.

Audits quality, normalises strings, and sorts rows for supplied frame timing records (frame_ms, draw_calls) in up to 200 rows, producing 3 independent analytical reports.

Audits quality, normalises strings, and computes a secondary-measure weighted mean for up to 200 frame timing records (frame_ms, draw_calls) in three independent analytical reports.

Returns a curated directory of free-tier APIs and resources for agents, including no-key blockchain APIs, AI free tiers, no-CAPTCHA faucets, and zero-cost marketplaces

Performs a preflight AML/sanctions check on a crypto wallet address (TRON, EVM, or Solana) to assess frozen-fund risk before deeper forensic analysis.

Returns a list of prediction markets filtered by volume, up to a specified limit

Purchase a micro credits pack on GadgetHumans API Hub to fund API calls across its 300+ REST APIs and 49 MCP tools

Purchases a credits pack (desk tier) for the GadgetHumans API Hub, enabling access to premium API calls across 300+ REST endpoints and 49 MCP tools.

Returns ice cream related data (flavors, facts, or listings) via a pay-per-call x402 micropayment endpoint on Base.

Fetches content addressed by a specific IPFS CID through the Grapevine gateway, gated by a micropayment of 0.01 USDC on Base

Performs a web extraction/search request via a Tavily-compatible endpoint, paid per-call with USDC via x402 protocol

Screens an offer or pitch for sketchy side-income / get-rich-quick signals, returning a red-flag analysis of the supplied text and optional landing URL

Fetches a deterministic fingerprint of a given HTTPS URL, returning body SHA-256 hash, TLS details, and DNS information for $0.01 per call.

Returns token balances, gas prices, and DeFi protocol TVL/APY data for a given Base EVM address

Scans a Base EVM address for all active ERC-20 token allowances, returning balances, gas info, and DeFi protocol exposure

Compares two sets of nonpersonal genomic record revisions to enumerate changes in owner, subject, revision, content, and scope pin fields by stable record ID.

Validates that genomic records strictly conform to declared owner, subject, revision, and allowed scope labels for nonpersonal/synthetic/public data only.

Routes HTTP GET/HEAD/DELETE requests through GenTech Labs' x402 pay-per-call gateway for Web3-native API access

Analyzes geospatial tile processing records to produce two local analytical reports: category frequency counts and adjacent row change detection, for up to 200 rows.

Computes category frequency distributions and base-100 index series for geospatial tile processing records (tile_count, processing_seconds) supplied by the caller, using local analytical engines with no external lookups.

Computes category frequency distributions and daily sum time series for geospatial tile processing records (tile_count, processing_seconds) across up to 200 rows.

Computes an equal-width histogram and fills missing values using a chosen strategy (zero, mean, or median) for geospatial tile processing records (tile_count, processing_seconds) across up to 200 rows.

Computes an equal-width histogram and a secondary-measure weighted mean for geospatial tile processing records (tile_count, processing_seconds) over up to 200 supplied rows.

Performs exact row deduplication and adjacent row change detection on geospatial tile processing records (tile_count, processing_seconds) for up to 200 rows, returning two analytical reports.

Deduplicates geospatial tile processing records and generates grouped numeric summary statistics for tile_count or processing_seconds fields, returning two analytical reports for up to 200 rows.

Performs exact row deduplication and numeric distribution analysis on geospatial tile processing records (tile_count, processing_seconds) for up to 200 rows.

Deduplicates geospatial tile processing records and filters rows by a numeric interval on tile_count or processing_seconds, returning two analytical reports for up to 200 rows.

Computes a grouped numeric summary and a daily sum time series for geospatial tile processing records (tile_count, processing_seconds) across up to 200 rows.

Computes grouped numeric summaries and keyed dataset comparisons on geospatial tile processing records (tile_count, processing_seconds) for up to 200 rows across two independent reports.

Compares two geospatial tile processing datasets by key and fills explicit missing values, producing two analytical reports on tile_count or processing_seconds fields for up to 200 rows.

Computes numeric distribution statistics and performs keyed dataset comparison for geospatial tile processing records (tile_count, processing_seconds) across up to 200 rows in two independent analytical reports.

Computes a numeric distribution report and a numeric interval filter report for geospatial tile processing records (tile_count, processing_seconds) over up to 200 supplied rows.

Filters geospatial tile processing records by a numeric interval and flags IQR-based outliers for tile_count or processing_seconds fields, returning two analytical reports for up to 200 rows.

Runs two analytical reports on supplied geospatial tile processing records: a numeric interval filter on tile_count or processing_seconds, and a keyed comparison between two datasets of up to 200 rows each.

Filters geospatial tile processing records by a numeric interval and computes a weighted mean of a secondary measure, returning up to 2 analytical reports for up to 200 rows.

Applies a numeric interval filter and computes a trailing mean time series on user-supplied geospatial tile processing records (tile_count, processing_seconds), returning two analytical reports for up to 200 rows.

Computes numeric row ordering and adjacent row changes for geospatial tile processing records (tile_count, processing_seconds) across up to 200 rows, returning 2 analytical reports.

Computes two local analytical reports (numeric row ordering and daily sum series) over supplied geospatial tile processing records containing tile_count and processing_seconds fields.

Runs two analytical reports on supplied geospatial tile processing records: a record quality audit and an adjacent row changes analysis, for up to 200 rows.

Runs three analytical reports on geospatial tile processing data: a record quality audit, exact row deduplication, and a daily sum time series, all in one call for up to 200 rows.

Audits record quality and fills missing values (zero, mean, or median) for geospatial tile processing data (tile_count, processing_seconds) across up to 200 rows, returning two independent analytical reports.

Audits record quality and filters by numeric interval for geospatial tile processing data (tile_count, processing_seconds) across up to 200 rows, returning two analytical reports.

Audits record quality and computes a secondary-measure weighted mean for geospatial tile processing records (tile_count, processing_seconds) on up to 200 rows.

Runs three local analytical reports on geospatial tile processing data: a record quality audit, string normalisation, and a date-by-category pivot for up to 200 rows.

Audits record quality, normalises strings, and flags IQR outliers for geospatial tile processing datasets (tile_count, processing_seconds) — up to 200 rows, three reports per call.

Audits record quality, normalises strings, and compares two keyed datasets of geospatial tile processing records (tile_count, processing_seconds) returning three independent analytical reports for up to 200 rows.

Runs three local analytical reports on geospatial tile processing records: a record quality audit, string normalisation, and a correlation analysis between tile_count and processing_seconds.

Runs a record quality audit and a Pearson/rank correlation analysis between tile_count and processing_seconds for up to 200 geospatial tile processing rows, returning two analytical reports.