All Services

Analyzes validator uptime records by sorting rows numerically and computing adjacent row changes for online_minutes or observed_minutes across up to 200 rows.

Computes numeric row ordering and daily sum series for supplied validator uptime records (online_minutes, observed_minutes) across up to 200 rows, returning two independent analytical reports.

Analyzes supplied validator uptime records by ordering rows numerically and pivoting dates by category, producing two analytical reports for up to 200 rows.

Ranks validator uptime records by online_minutes or observed_minutes and flags statistical outliers using the interquartile range (IQR) method, producing two analytical reports for up to 200 supplied rows.

Analyzes supplied validator uptime records by sorting rows numerically and computing correlation between online_minutes and observed_minutes across up to 200 rows.

Runs a record quality audit and equal-width histogram analysis on supplied validator uptime data (online_minutes, observed_minutes) for up to 200 rows.

Runs three analytical reports on supplied validator uptime records: a record quality audit, exact row deduplication, and a daily sum time series for online_minutes or observed_minutes.

Runs three local analytical reports on supplied validator uptime records: a data quality audit, exact duplicate row detection, and a grouped numeric summary by instrument group.

Runs three local analytical reports on supplied validator uptime data: a record quality audit, exact row deduplication, and a trailing mean time series, for up to 200 rows.

Audits data quality and compares two keyed datasets of validator uptime records (online_minutes, observed_minutes) for up to 200 rows, returning two independent analytical reports.

Audits the quality of validator uptime records and computes a secondary-measure weighted mean, delivering two independent analytical reports for up to 200 rows of online/observed minutes data.

Runs three analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 rows of validator uptime data (online_minutes, observed_minutes) using local analytical engines with no external lookups.

Runs three local analytical reports on supplied validator uptime rows: record quality audit, string normalisation, and a base-100 index series — no external lookups or predictions.

Runs three local analytical reports on supplied validator uptime records: a record quality audit, string normalisation, and duplicate key detection — up to 200 rows per call.

Audits record quality, normalises strings, and deduplicates exact rows for up to 200 validator uptime records (online_minutes, observed_minutes), returning 3 independent analytical reports.

Performs three local analytical reports on validator uptime records: record quality audit, string normalisation, and numeric interval filtering of online_minutes or observed_minutes fields.

Runs three local analytical reports on validator uptime data: record quality audit, string normalisation, and trailing mean series — for up to 200 rows of online/observed minutes data.

Runs three local analytical reports (record quality audit, string normalisation, and two-measure correlation) on up to 200 rows of validator uptime data (online_minutes, observed_minutes).

Runs two local analytical reports on supplied validator uptime data: a record quality audit and a trailing mean series, for up to 200 rows.

Audits quality of validator uptime records and computes correlation between online_minutes and observed_minutes for up to 200 rows, returning two analytical reports.

Computes a secondary-measure weighted mean and a date-by-category pivot table for up to 200 supplied validator uptime records (online_minutes, observed_minutes).

Normalises string fields and fills missing values (online_minutes or observed_minutes) in up to 200 validator uptime records using zero, mean, or median imputation, returning 2 analytical reports.

Normalises string fields and flags IQR-based outliers in validator uptime records (online_minutes, observed_minutes) for up to 200 rows, returning 2 analytical reports.

Normalises string fields and computes numeric distribution statistics for validator uptime records (online_minutes, observed_minutes) across up to 200 rows, returning two independent analytical reports.

Computes a trailing mean time series and a base-100 indexed series from supplied validator uptime records (online_minutes, observed_minutes) for up to 200 rows.

Computes a trailing mean time series and a date-by-category pivot table from supplied validator uptime records (online_minutes, observed_minutes), returning two analytical reports for up to 200 rows.

Computes a trailing mean time series and a secondary-measure weighted mean for supplied validator uptime records (online_minutes, observed_minutes) over up to 200 rows.

Computes a trailing mean time series and a two-measure correlation between online_minutes and observed_minutes for up to 200 supplied validator uptime records.

Search and analyze the agent economy marketplace, querying 100K+ indexed agent services and tracking $148M+ in on-chain payments

Searches and analyzes monetization opportunities within the agent economy, drawing on 100K+ indexed agent services and $148M+ in tracked on-chain payments.

Analyzes agent economy data including indexed agent services and on-chain payment activity across the agent ecosystem

Queries Valoria's indexed agent economy database to retrieve real-time pulse data on agent services, on-chain payments, and ecosystem trends

Generates a bounded, non-medical health measurement work packet from the 12-Hallmarks-tagged health work library for a given place and problem, routing findings to a licensed clinician.

Checks whether a published climate or sustainability disclosure URL parses as valid, machine-readable data (CDP-aligned)

Returns an ordered action plan for an agent moving from idle to earning, including live Litcoin research-mining metrics, open guild seat details with collective-boost mechanics, and matching live work board rows — all CDP-settled.

Fetches the agent-kit bundle (agent.md and llms.txt) for a given URL, enabling AI agents to discover how to interact with a site programmatically.

Returns a curated set of entry-level work opportunities with location, task description, proof requirements, and pay details before the worker begins

Returns a structured, step-by-step work method template for a given standard, including equipment, decision rules, reference method, and acceptance criteria

Searches live public web pages for vector database benchmark information specifically relevant to agent builders, returning source links and snippets.

Searches recent Google News RSS coverage of vector databases for AI agent builders, returning publisher links and publication dates.

Searches recent Google News RSS coverage of vector databases and returns publisher links and publication dates, scoped for analyst audiences.

Searches recent Google News RSS for vector database coverage relevant to operations teams, returning publisher links and publication dates.

Searches recent Google News RSS coverage of vector databases targeted at technology buyers, returning publisher links and publication dates.

Returns a paid LLM-generated decision procedure brief for AI agents on how to source and normalize vehicle variant data

Returns an agent-facing decision procedure for selecting public automotive datasets, normalizing vehicle variant names, performing VIN-like matching, assessing emissions data freshness, and linking provenance.

Verifies and returns a cryptographic attestation for a Velaru receipt entry, confirming its validity and signature without requiring login.

Runs two local analytical reports on vendor evaluation records: adjacent row-to-row change analysis and equal-width histogram bucketing on supplied_score or maximum_score fields.

Runs two local analytical reports on vendor evaluation data: adjacent row change detection and keyed dataset comparison, for up to 200 rows of supplied_score/maximum_score records.

Computes adjacent row changes and secondary-measure weighted mean analytics on vendor evaluation records (supplied_score, maximum_score) for up to 200 rows.

Generates two analytical reports for vendor evaluation data: a Base-100 index series and a keyed dataset comparison, using supplied_score and maximum_score fields across up to 200 rows.

Computes a Base-100 index series and a secondary-measure weighted mean for up to 200 vendor evaluation score records, returning two analytical reports from local engines.

Analyzes vendor evaluation records by computing category frequencies and adjacent row changes for supplied_score or maximum_score fields across up to 200 rows.

Analyzes up to 200 vendor evaluation records to produce two reports: category frequency distribution and a base-100 indexed time series, using supplied_score and maximum_score fields.

Computes category-frequency counts and a daily sum time series from vendor evaluation records containing supplied and maximum scores.

Computes category frequency counts and a date-by-category pivot table for vendor evaluation records with supplied_score and maximum_score fields.

Computes category frequency counts and an equal-width histogram for vendor evaluation records containing supplied_score and maximum_score fields, returning two statistical reports from up to 200 rows.

Computes category frequency distributions and fills missing values (zero, mean, or median) for vendor evaluation score records, delivering two analytical reports for up to 200 rows.

Analyzes vendor evaluation records to produce category frequency counts and IQR-based outlier flags for supplied_score or maximum_score fields across up to 200 rows.

Runs two analytical reports on vendor evaluation records: category frequency distribution by company group and a row-keyed comparison between two datasets of supplied/maximum scores.

Computes category frequency counts and numeric row ordering for vendor evaluation records containing supplied_score and maximum_score fields, returning two analytical reports for up to 200 rows.

Computes category-level frequency distributions and a secondary-measure weighted mean across up to 200 vendor evaluation records with supplied_score and maximum_score fields.

Analyzes vendor evaluation records to produce category frequency counts and a Pearson/Spearman correlation between supplied_score and maximum_score, returning two independent statistical reports for up to 200 rows.

Computes two analytical reports on vendor evaluation data: a daily sum time series and adjacent row change detection, for up to 200 rows of supplied_score or maximum_score values.

Computes a daily sum time series and a date-by-category pivot table from supplied vendor evaluation score records (supplied_score or maximum_score), returning two analytical reports in one call.

Computes a daily sum time series and an equal-width histogram for vendor evaluation scores (supplied_score or maximum_score) across up to 200 supplied rows.

Computes daily sum time series and IQR-based outlier flags for vendor evaluation records (supplied_score, maximum_score) across up to 200 rows.

Computes a daily sum time series and a keyed dataset comparison for up to 200 vendor evaluation records containing supplied_score and maximum_score fields.

Pivots vendor evaluation scores by date and company group, and fills missing values using zero, mean, or median imputation — two analytical reports for up to 200 rows.

Generates a duplicate key report and a Base-100 index series for supplied vendor evaluation score records (supplied_score and maximum_score fields), processing up to 200 rows locally with no external lookups.

Analyzes up to 200 vendor evaluation rows to produce a duplicate key report and a grouped numeric summary for supplied_score or maximum_score fields.

Analyzes up to 200 vendor evaluation records to produce a duplicate key report and IQR-based outlier flags for supplied_score or maximum_score fields.

Generates two local analytical reports for vendor evaluation data: a duplicate key report and a keyed dataset comparison between two supplied datasets (up to 200 rows each).

Runs two local analytical reports on vendor evaluation records: a duplicate key report and a numeric distribution analysis for supplied_score or maximum_score fields, up to 200 rows.

Generates two analytical reports on vendor evaluation records: a duplicate key report and a numeric row ordering, applied to supplied_score or maximum_score fields across up to 200 rows.

Generates two local analytical reports — an equal-width histogram and a date-by-category pivot — for supplied vendor evaluation score records.

Generates an equal-width histogram and fills missing values in vendor evaluation score data (up to 200 rows) using a chosen fill method.

Computes an equal-width histogram and IQR-based outlier flags on vendor evaluation score data (supplied_score or maximum_score) for up to 200 rows, returning two analytical reports.

Runs two local analytical reports on vendor evaluation records: an equal-width histogram of scores and a keyed dataset comparison between two supplied datasets.

Computes an equal-width histogram and a secondary-measure weighted mean over supplied vendor evaluation records (supplied_score, maximum_score) for up to 200 rows.

Runs two local analytical reports on vendor evaluation data: an equal-width histogram distribution and a correlation analysis between supplied_score and maximum_score, for up to 200 rows.

Deduplicates exact duplicate rows and identifies adjacent row changes in vendor evaluation records containing supplied_score and maximum_score fields, returning two analytical reports.

Deduplicates vendor evaluation rows and computes a Base-100 index series for supplied_score or maximum_score fields across up to 200 records.

Deduplicates vendor evaluation records and computes a daily sum time series for supplied_score or maximum_score fields, returning two analytical reports for up to 200 rows.

Deduplicates exact duplicate rows and generates a date-by-category pivot report for vendor evaluation records containing supplied_score and maximum_score fields.

Deduplicates exact duplicate rows and fills missing values in vendor evaluation records containing supplied_score and maximum_score fields, producing two analytical reports.

Deduplicates vendor evaluation records by exact row matching and flags statistical outliers using IQR analysis on supplied_score or maximum_score fields.

Deduplicates exact duplicate rows and computes a trailing moving-average series for vendor evaluation score data (supplied_score or maximum_score) across up to 200 rows.

Deduplicates vendor evaluation rows and computes correlation between supplied_score and maximum_score across up to 200 records, returning two analytical reports.

Analyzes vendor evaluation records by computing grouped numeric summaries and adjacent row changes for supplied_score or maximum_score fields, up to 200 rows.

Computes a grouped numeric summary and a Base-100 indexed time series from uploaded vendor evaluation score records (supplied_score, maximum_score), returning two analytical reports for up to 200 rows.

Computes a grouped numeric summary and a daily sum time series for vendor evaluation records (supplied_score and maximum_score fields) across up to 200 rows.

Computes two analytical reports over vendor evaluation rows: a grouped numeric summary and a date-by-category pivot for supplied_score and maximum_score fields.

Generates a grouped numeric summary and an equal-width histogram for vendor evaluation records containing supplied_score and maximum_score fields, across up to 200 rows.

Computes grouped descriptive statistics and IQR-based outlier flags for vendor evaluation score records (supplied_score or maximum_score), returning two analytical reports for up to 200 rows.

Computes grouped numeric summaries and applies a numeric interval filter on vendor evaluation records (supplied_score, maximum_score) for up to 200 rows, returning 2 analytical reports.

Computes a grouped numeric summary and a trailing mean time series for vendor evaluation records (supplied_score, maximum_score) across up to 200 rows.

Computes grouped descriptive statistics and a two-measure correlation report for vendor evaluation records containing supplied_score and maximum_score fields, across up to 200 rows.

Runs two analytical reports on vendor evaluation records: IQR-based outlier detection and a date-by-category pivot table, for up to 200 rows.

Runs two statistical reports on vendor evaluation records: IQR-based outlier detection and secondary-measure weighted mean calculation, for up to 200 rows.

Runs IQR-based outlier detection and two-measure correlation analysis on vendor evaluation records containing supplied_score and maximum_score fields, returning two independent statistical reports for up to 200 rows.