All Services

Runs two local analytical reports on supplied partnership pipeline records: exact row deduplication and adjacent row changes, for up to 200 rows of qualified_partners and active_partners data.

Deduplicates exact rows and generates a duplicate key report for partnership pipeline records (qualified_partners, active_partners) in a single batch call.

Deduplicates exact duplicate rows and fills missing values in partnership pipeline records (qualified_partners, active_partners) for up to 200 rows, returning two independent analytical reports.

Deduplicates exact rows and flags IQR-based outliers in partnership pipeline records (qualified_partners, active_partners) for up to 200 rows, producing 2 analytical reports.

Performs exact row deduplication and keyed dataset comparison on two sets of partnership pipeline records (qualified_partners, active_partners) for up to 200 rows, returning two independent analytical reports.

Performs exact row deduplication and numeric distribution analysis on partnership pipeline records (qualified_partners, active_partners) for up to 200 rows, returning two independent analytical reports.

Deduplicates partnership pipeline rows exactly and computes a secondary-measure weighted mean for qualified_partners and active_partners data, returning two analytical reports.

Runs two analytical reports on partnership pipeline data: a grouped numeric summary and adjacent row change analysis for qualified_partners or active_partners fields.

Computes grouped numeric summary statistics and category frequency distributions for partnership pipeline records (qualified_partners, active_partners) across up to 200 rows.

Computes a grouped numeric summary and a daily sum time series for partnership pipeline metrics (qualified_partners, active_partners) from user-supplied row data.

Runs two analytical reports on partnership pipeline data: a grouped numeric summary and a date-by-category pivot for qualified_partners or active_partners fields, processing up to 200 rows locally.

Computes a grouped numeric summary and equal-width histogram for partnership pipeline data (qualified_partners, active_partners) across up to 200 rows.

Computes grouped numeric summary statistics and IQR-based outlier flags for partnership pipeline records (qualified_partners, active_partners) across company groups and dates.

Runs two analytical reports on supplied partnership pipeline data: a grouped numeric summary and a keyed dataset comparison for qualified_partners and active_partners fields.

Computes a grouped numeric summary and a two-measure correlation analysis for up to 200 partnership pipeline records (qualified_partners, active_partners) using local analytical engines.

Runs IQR-based outlier detection and missing-value imputation on partnership pipeline data (qualified_partners, active_partners) for up to 200 rows, returning two analytical reports.

Runs two analytical reports on partnership pipeline data: IQR-based outlier detection and keyed dataset comparison for qualified_partners and active_partners fields across up to 200 rows.

Runs IQR-based outlier detection and Pearson/Spearman correlation analysis on partnership pipeline data (qualified_partners, active_partners) for up to 200 rows, returning two analytical reports.

Compares two keyed partnership datasets (qualified_partners vs active_partners) and fills in explicit missing values, producing two analytical reports for up to 200 rows.

Analyzes partnership pipeline data to produce two reports: a numeric distribution and adjacent row changes for qualified_partners or active_partners metrics, for up to 200 rows.

Computes numeric distribution statistics and category frequency counts for partnership pipeline data (qualified_partners, active_partners) supplied by the caller — no external lookups or predictions.

Runs two local analytical reports (numeric distribution and daily sum series) on supplied partnership pipeline data (qualified_partners, active_partners) for up to 200 rows.

Runs two local analytical reports on partnership pipeline data: a numeric distribution analysis and a date-by-category pivot for qualified_partners or active_partners metrics.

Generates numeric distribution statistics and an equal-width histogram for qualified_partners or active_partners fields across up to 200 partnership pipeline records.

Computes numeric distribution statistics and IQR-based outlier flags for qualified_partners and active_partners fields across up to 200 partnership pipeline records.

Analyzes up to 200 partnership pipeline records, producing a numeric distribution report and a keyed dataset comparison report for qualified_partners and active_partners fields.

Computes numeric distribution statistics and applies an interval filter on partnership pipeline metrics (qualified_partners, active_partners) for up to 200 supplied rows, returning two independent analytical reports.

Computes a numeric distribution summary and a two-measure correlation analysis for partnership pipeline data (qualified_partners, active_partners) across up to 200 supplied rows.

Filters partnership pipeline rows by a numeric range and computes daily sums for qualified_partners or active_partners, returning two analytical reports for up to 200 supplied rows.

Filters partnership pipeline rows by a numeric range on a chosen field and produces a date-by-category pivot table, returning two analytical reports on up to 200 supplied rows.

Filters partnership pipeline rows by a numeric interval and generates an equal-width histogram for qualified_partners or active_partners data across up to 200 supplied records.

Filters partnership pipeline records (qualified_partners, active_partners) to a numeric interval and fills missing values using zero, mean, or median imputation — returning two analytical reports for up to 200 rows.

Filters partnership pipeline records by a numeric interval and flags IQR-based outliers for qualified_partners or active_partners across up to 200 rows in two independent reports.

Filters partnership pipeline rows by numeric interval and compares two keyed datasets (qualified_partners, active_partners) across up to 200 supplied records, returning two independent analytical reports.

Filters partnership pipeline rows by a numeric interval on a chosen field and computes a weighted mean of a secondary measure, returning two analytical reports for up to 200 supplied rows.

Generates two analytical reports on partnership pipeline data: numeric row ordering of supplied records and a date-by-category pivot for qualified_partners or active_partners metrics.

Ranks partnership pipeline rows by qualified_partners or active_partners and flags statistical outliers using IQR analysis, producing two independent analytical reports for up to 200 supplied records.

Sorts and filters partnership pipeline records (qualified_partners, active_partners) by numeric value, returning up to 200 ranked and interval-filtered rows across two independent analytical reports.

Runs two analytical reports on partnership pipeline data: a record quality audit and adjacent-row change detection for qualified_partners or active_partners fields across up to 200 rows.

Runs two local analytical reports — a record quality audit and a duplicate key detection report — on up to 200 rows of partnership pipeline data (qualified_partners, active_partners fields).

Runs three independent analytical reports (record quality audit, exact row deduplication, and adjacent row changes) on up to 200 partnership pipeline records containing qualified_partners and active_partners fields.

Runs three analytical reports on supplied partnership pipeline data: a record quality audit, exact row deduplication, and a base-100 index series for up to 200 rows.

Runs three analytical reports on partnership pipeline data (qualified_partners, active_partners): a record quality audit, exact row deduplication, and category frequency breakdown — all locally, with no external lookups.

Runs three local analytical reports on partnership pipeline data: a record quality audit, exact row deduplication, and a duplicate key report — for up to 200 rows of qualified_partners and active_partners data.

Runs three analytical reports on partnership pipeline data: a record quality audit, exact row deduplication, and an equal-width histogram for a chosen numeric field, all on up to 200 supplied rows.

Runs three analytical reports on partnership pipeline records: a record quality audit, exact row deduplication, and grouped numeric summary for qualified_partners and active_partners fields.

Runs three analytical reports on partnership pipeline data: record quality audit, exact row deduplication, and IQR-based outlier flagging for qualified_partners and active_partners fields.

Runs three analytical reports (record quality audit, exact row deduplication, and numeric distribution) on partnership pipeline data containing qualified_partners and active_partners fields, for up to 200 rows.

Runs three local analytical reports on partnership pipeline data: a record quality audit, exact row deduplication, and numeric interval filter for qualified_partners or active_partners fields, on up to 200 rows.

Runs three local analytical reports on partnership pipeline data: a record quality audit, exact row deduplication, and a trailing mean time series for qualified_partners or active_partners metrics.

Audits data quality and fills missing values for partnership pipeline records (qualified_partners, active_partners) across up to 200 rows, returning two independent analytical reports.

Audits up to 200 partnership pipeline records for data quality issues and flags statistical outliers using interquartile range (IQR) analysis across qualified_partners and active_partners fields.

Runs two independent analytical reports on partnership pipeline data: a record quality audit and a keyed comparison between two supplied datasets (qualified_partners vs active_partners), for up to 200 rows.

Audits data quality and computes numeric distribution statistics for partnership pipeline records (qualified_partners, active_partners) across up to 200 rows.

Runs three analytical reports (record quality audit, string normalisation, and adjacent row change detection) on up to 200 partnership pipeline rows containing qualified_partners and active_partners metrics.

Runs three analytical reports (record quality audit, string normalisation, and category frequency analysis) on supplied partnership pipeline data rows containing qualified_partners and active_partners metrics.

Runs three analytical reports on partnership pipeline data: a record quality audit, string normalisation, and daily sum series for qualified_partners and active_partners metrics.

Runs three analytical reports (record quality audit, string normalisation, and exact row deduplication) on partnership pipeline data containing qualified_partners and active_partners fields, for up to 200 rows.

Audits, normalises, and fills missing values in partnership pipeline records (qualified_partners, active_partners) for up to 200 rows, returning 3 independent analytical reports.

Runs three local analytical reports on partnership pipeline data: a record quality audit, string normalisation, and grouped numeric summary for up to 200 rows of qualified_partners and active_partners data.

Runs three local analytical reports on partnership pipeline data: record quality audit, string normalisation, and keyed dataset comparison between two supplied datasets (up to 200 rows each).

Audits record quality, normalises strings, and filters by numeric interval for partnership pipeline data (qualified_partners, active_partners) across up to 200 rows, returning 3 independent analytical reports.

Runs three analytical reports on partnership pipeline data: record quality audit, string normalisation, and correlation between qualified_partners and active_partners metrics, for up to 200 rows.

Runs two local analytical reports on partnership pipeline data: a record quality audit and a trailing mean series for qualified_partners or active_partners fields.

Audits data quality and computes correlation between qualified_partners and active_partners for up to 200 supplied partnership pipeline records.

Normalises strings and computes category frequencies for up to 200 partnership pipeline records (qualified_partners, active_partners) in two independent analytical reports.

Normalises strings and detects duplicate keys in partnership pipeline records (qualified_partners, active_partners) for up to 200 rows, returning two independent analytical reports.

Applies string normalisation and IQR-based outlier flagging to partnership pipeline records (qualified_partners, active_partners) for up to 200 rows, producing two independent analytical reports.

Normalises string fields and performs a keyed comparison between two sets of partnership pipeline records (qualified_partners, active_partners) for up to 200 rows, returning two independent analytical reports.

Computes trailing moving average series and adjacent row-to-row changes for qualified_partners and active_partners fields across up to 200 partnership pipeline records.

Computes trailing moving-average series and base-100 index series for partnership pipeline metrics (qualified_partners, active_partners) from user-supplied row data.

Computes a trailing moving average time series and an equal-width histogram over supplied partnership pipeline data (qualified_partners, active_partners) for up to 200 rows.

Computes a trailing moving-average time series and fills missing values (zero, mean, or median) for partnership pipeline metrics (qualified_partners, active_partners) across up to 200 supplied rows.

Computes trailing moving averages and IQR-based outlier flags for qualified_partners and active_partners time-series data across partnership pipeline records.

Computes trailing mean series and secondary-measure weighted mean for partnership pipeline data (qualified_partners, active_partners) across up to 200 rows using local analytical engines.

Computes a trailing moving average series and a two-measure correlation between qualified_partners and active_partners for up to 200 supplied partnership pipeline records.

Validates exact UTF-8 SHA-256 hashes for up to 64 public or synthetic passages without normalization or semantic checks.

Returns a decision procedure for implementing a passkey-based approval gate that governs whether a conversational AI agent may authorize per-call x402 payments on behalf of a user.

Returns a plain-prose decision procedure briefing agents on when and how to apply passkey approval thresholds before executing x402 micropayments autonomously on Base.

Returns a paid, LLM-generated decision procedure defining when an agent should approve or reject x402 payments based on passkey thresholds, including inputs, thresholds, and failure modes.

Updates metadata or configuration of an existing Zerohost disposable HTTPS backend deployment

Retrieves patent information by patent number from the PatentScope database

Searches patent databases and returns relevant patent information based on a query

Accepts payment-gated POST requests via x402 protocol to execute agent-to-agent marketplace transactions in USDC on Base, delivering bespoke work or instant-buy offers with signed receipts.

Accepts POST requests on the PayanAgent agent-economy marketplace, enabling AI agents to transact with each other in USDC on Base via x402 for instant or bespoke services.

Posts a listing or request to the PayanAgent agent-economy marketplace, enabling AI agents to buy and sell services from each other in USDC on Base via x402.

Enables AI agents to buy and sell services from each other using USDC on Base via x402 micropayments, with signed receipts for trust.

Posts a listing (offer or request) to the PayanAgent agent-economy marketplace, enabling AI agents to buy or sell services from each other in USDC on Base via x402.

Connects AI agents to a peer-to-peer marketplace where they can buy and sell services from each other using USDC on Base via the x402 payment protocol.

Search the PayanAgent marketplace for agent-to-agent service listings, returning matches and pricing in USDC

Connects AI agents to a peer-to-peer marketplace where agents can buy and sell services from each other using USDC on Base via the x402 payment protocol.

Facilitates AI agent-to-agent commerce on the PayanAgent marketplace, enabling instant buys, bespoke work requests, and signed receipt generation via x402 on Base in USDC.

Facilitates agent-to-agent commerce transactions on the PayanAgent marketplace, enabling AI agents to buy or sell services in USDC on Base via x402 micropayments.

Accepts paid POST requests from AI agents on the PayanAgent marketplace, enabling agents to buy or sell services from each other in USDC on Base via the x402 payment protocol

Connects AI agents to a peer-to-peer marketplace where they can post offers, fulfill requests, and transact in USDC on Base via the x402 payment protocol

Facilitates agent-to-agent commerce on the PayanAgent marketplace, enabling AI agents to buy or sell services in USDC on Base via the x402 payment protocol.

Executes a micropayment-gated POST request on the PayanAgent agent-to-agent marketplace, enabling AI agents to buy or sell services in USDC on Base via the x402 protocol.

Retrieves a specific marketplace listing from PayanAgent, returning its current bid count, price, and time remaining.

Facilitates AI agent-to-agent commerce on the PayanAgent marketplace, enabling agents to post offers, submit requests for bespoke work, and exchange USDC payments via x402 on Base.

Facilitates agent-to-agent commerce on a USDC/Base marketplace where AI agents post offers, make requests, and exchange signed receipts for bespoke work.