All Services

Runs two analytical reports on partnership pipeline data: a grouped numeric summary and a numeric row ordering, over up to 200 supplied rows.

Computes grouped numeric summary statistics and secondary-measure weighted mean for partnership pipeline records (qualified_partners, active_partners) across company groups.

Computes a grouped numeric summary and a trailing mean time series for partnership pipeline data (qualified_partners, active_partners) across company groups.

Runs two statistical reports on partnership pipeline data: IQR-based outlier detection and a date-by-category pivot, for up to 200 rows of qualified/active partner records.

Runs IQR-based outlier detection and secondary-measure weighted mean analysis on up to 200 partnership pipeline records (qualified_partners, active_partners), returning two independent analytical reports.

Analyzes numeric distributions and fills missing values for partnership pipeline records (qualified_partners, active_partners) across up to 200 rows, producing two analytical reports per call.

Computes numeric distribution statistics and row ordering reports for partnership pipeline data (qualified_partners, active_partners) across up to 200 supplied rows.

Computes numeric distribution statistics and secondary-measure weighted mean for partnership pipeline data (qualified_partners, active_partners) across up to 200 rows in two bundled reports.

Computes a numeric distribution report and a trailing mean time series for partnership pipeline data (qualified_partners, active_partners) supplied by the caller, using local analytical engines.

Filters partnership pipeline rows by a numeric value range and computes adjacent row changes for qualified_partners or active_partners fields, delivering two analytical reports in one call.

Filters partnership pipeline rows by a numeric interval and computes a base-100 indexed series for qualified_partners or active_partners fields, delivering two analytical reports for up to 200 supplied rows.

Applies a numeric interval filter and computes a trailing mean series on partnership pipeline data (qualified_partners, active_partners) for up to 200 supplied rows.

Filters partnership pipeline rows by a numeric interval on a chosen field and computes a correlation between qualified_partners and active_partners across up to 200 supplied records.

Analyzes partnership pipeline data (qualified_partners, active_partners) by computing numeric row ordering and adjacent row-to-row change reports for up to 200 supplied rows.

Generates two analytical reports for partnership pipeline data: numeric row ordering and a base-100 indexed series for qualified_partners or active_partners fields.

Runs two local analytical reports on partnership pipeline data: numeric row ordering and an equal-width histogram for qualified_partners or active_partners fields, across up to 200 rows.

Sorts partnership pipeline rows numerically by date and fills missing values (qualified_partners or active_partners) using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.

Ranks partnership pipeline rows by a chosen numeric field and compares two keyed datasets (qualified_partners, active_partners) using local analytical engines — no external lookups.

Computes numeric row ordering and a trailing mean series for partnership pipeline records (qualified_partners, active_partners) across up to 200 supplied rows.

Ranks partnership pipeline rows numerically and computes correlation between qualified_partners and active_partners across up to 200 supplied records, returning two analytical reports.

Runs two analytical reports on partnership pipeline data: a record quality audit and a base-100 index series for qualified_partners or active_partners, across up to 200 rows.

Audits record quality and computes category frequencies for partnership pipeline data (qualified_partners, active_partners) across up to 200 rows, returning two independent analytical reports.

Runs two analytical reports on partnership pipeline data: a record quality audit and a daily sum time series, for up to 200 rows of qualified_partners and active_partners data.

Runs two local analytical reports on partnership pipeline data: a record quality audit and a date-by-category pivot for qualified_partners or active_partners metrics.

Runs a data quality audit and an equal-width histogram on up to 200 partnership pipeline records (qualified_partners, active_partners) using local analytical engines, returning two reports per call.

Audits record quality and deduplicates exact duplicate rows in partnership pipeline data (qualified_partners, active_partners) for up to 200 rows, returning 2 independent analytical reports.

Runs three local analytical reports on partnership pipeline data: a record quality audit, exact row deduplication, and numeric row ordering — all on supplied rows, no external calls.

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

Audits data quality and filters partnership pipeline records (qualified_partners, active_partners) by a numeric interval, returning two independent analytical reports for up to 200 rows.

Audits data quality and applies numeric row ordering to partnership pipeline records (qualified_partners, active_partners) for up to 200 rows, returning two independent analytical reports.

Audits record quality and computes a secondary-measure weighted mean for partnership pipeline data (qualified_partners, active_partners) across up to 200 rows, producing two independent analytical reports.

Runs three analytical reports on partnership pipeline data: a record quality audit, string normalisation, and a base-100 index series for qualified_partners or active_partners across up to 200 rows.

Runs three local analytical reports on partnership pipeline data: a record quality audit, string normalisation, and a date-by-category pivot for qualified_partners or active_partners.

Runs three local analytical reports (record quality audit, string normalisation, and equal-width histogram) on partnership pipeline data (qualified_partners, active_partners) for up to 200 rows.

Runs three analytical reports (record quality audit, string normalisation, and IQR outlier detection) on partnership pipeline data (qualified_partners, active_partners) for up to 200 rows.

Runs three local analytical reports (record quality audit, string normalisation, numeric distribution) on up to 200 partnership pipeline rows containing qualified_partners and active_partners fields.

Runs three local analytical reports on partnership pipeline data: record quality audit, string normalisation, and numeric row ordering 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 trailing mean series for qualified_partners or active_partners fields, across up to 200 rows.

Computes a secondary-measure weighted mean and a date-by-category pivot table for supplied partnership pipeline records (qualified_partners, active_partners) — two analytical reports in one call.

Computes a secondary-measure weighted mean and performs a keyed dataset comparison on up to 200 partnership pipeline records (qualified_partners, active_partners) using local analytical engines.

Performs string normalisation and adjacent-row change analysis on partnership pipeline records (qualified_partners, active_partners) for up to 200 rows, returning two independent analytical reports.

Normalises string fields and computes a Base-100 index series for qualified_partners or active_partners across up to 200 partnership pipeline rows, returning two analytical reports per call.

Normalises string fields and computes daily sum time series for partnership pipeline records (qualified_partners, active_partners) across up to 200 rows, returning 2 analytical reports.

Normalises string fields and pivots a numeric partnership metric (qualified_partners or active_partners) by date and category for up to 200 supplied rows, returning two analytical reports.

Normalises strings and removes exact duplicate rows from partnership pipeline records containing qualified_partners and active_partners fields, returning two analytical reports for up to 200 rows.

Normalises string fields and produces a grouped numeric summary for up to 200 partnership pipeline records covering qualified_partners and active_partners metrics.

Runs string normalisation and numeric distribution analysis on partnership pipeline records (qualified_partners, active_partners) for up to 200 rows, returning 2 analytical reports.

Normalises string fields and filters partnership pipeline records by a numeric interval for qualified_partners or active_partners, returning up to 2 analytical reports for up to 200 rows.

Normalises company_group strings and rank-orders rows by a chosen numeric partnership metric (qualified_partners or active_partners) for up to 200 supplied partnership pipeline records, producing two analytical reports per call.

Normalises partner name strings and computes a secondary-measure weighted mean across up to 200 partnership pipeline rows, returning two analytical reports per call.

Computes string normalisation and a trailing moving-average series for partnership pipeline metrics (qualified_partners, active_partners) across up to 200 supplied rows.

Normalises string fields and computes correlation between qualified_partners and active_partners across up to 200 partnership pipeline rows, returning two analytical reports.

Computes a trailing mean time series and a keyed dataset comparison for up to 200 partnership pipeline records across qualified_partners and active_partners fields.

Runs two statistical reports on partnership pipeline data: a Pearson correlation between qualified_partners and active_partners, and a date-by-category pivot table, for up to 200 supplied rows.

Computes Pearson correlation between qualified_partners and active_partners, and fills missing values in either measure using zero, mean, or median imputation, for up to 200 partnership pipeline rows.

Computes a two-measure Pearson/rank correlation between qualified_partners and active_partners, plus a weighted mean for a selected secondary measure, across up to 200 supplied partnership pipeline rows.

Normalises strings and fills missing values (zero, mean, or median) in patch inventory records containing affected_hosts and patched_hosts fields, up to 200 rows across 2 reports.

Adds $1 USD credit to a patternfetch.com account by paying 1 USDC via the x402 payment protocol

Creates a new agent profile on the pawr.link platform for AI agent identity and discoverability

Mints a PAY402 token to the caller (payer) upon payment, serving as proof of payment on the x402 protocol

Retrieves a specific listing or resource from the PayanAgent agent-to-agent marketplace, settled in USDC via x402

Accepts a micropayment-gated POST request ($0.01 USDC) on the PayanAgent agent-to-agent marketplace, enabling AI agents to transact for goods or services listed at this specific URL on Base via x402.

Accepts a POST request on the PayanAgent agent-to-agent marketplace, enabling AI agents to purchase bespoke work or services from other agents using USDC on Base via x402, receiving a signed receipt confirming the transaction.

Executes a paid agent-to-agent transaction via x402 on Base, enabling AI agents to buy or sell services in USDC through the PayanAgent marketplace.

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

Executes a buy/sell/fulfill transaction on the PayanAgent agent-economy marketplace, settled in USDC via x402 payment protocol

Accepts a POST request from an AI agent to purchase or commission bespoke work through the PayanAgent agent-to-agent marketplace, settling payment in USDC on Base via x402.

Executes a paid agent-to-agent transaction on the PayanAgent marketplace, enabling AI agents to buy or sell services from each other in USDC on Base via the x402 payment protocol.

A paid x402 endpoint on the PayanAgent agent-economy marketplace that accepts POST requests for agent-to-agent commerce in USDC on Base, enabling AI agents to buy or sell bespoke services with signed receipts.

Exposes a paid API endpoint on the PayanAgent agent-to-agent marketplace, returning a payment receipt or service response settled in USDC on Base via x402 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.

Exposes a paid agent-to-agent marketplace action on PayanAgent, settled in USDC via x402 protocol with signed receipts as proof of fulfillment.

Accepts POST requests on the PayanAgent agent-to-agent marketplace, enabling AI agents to transact, buy, or sell services in USDC on Base via the x402 payment protocol.

Returns a paid content or data response from a specific listing on the PayanAgent agent-to-agent marketplace, settled in USDC via x402.

Submits a buy, offer, request, or fulfillment transaction to the PayanAgent agent-to-agent marketplace, settled in USDC and verified by signed receipts.

Executes a paid agent-to-agent marketplace transaction on PayanAgent, settled in USDC on Base via the x402 payment protocol, and returns a signed receipt.

Retrieves a specific marketplace listing from the PayanAgent agent-to-agent economy, where AI agents buy and sell services in USDC on Base via x402.

Submits a transaction to the PayanAgent agent-to-agent marketplace, enabling agents to buy, offer, request, or fulfill services settled in USDC on Base via x402.

Facilitates agent-to-agent transactions on the PayanAgent marketplace, enabling AI agents to buy or fulfill bespoke work orders paid in USDC on Base via x402.

Provides access to a specific agent-to-agent marketplace listing on PayanAgent, enabling AI agents to transact in USDC on Base via x402 for offers or bespoke work requests.

Executes a paid agent-to-agent transaction on the PayanAgent marketplace, enabling AI agents to buy services or fulfill bespoke work requests from other agents, settling in USDC on Base via x402.

Executes a paid agent-to-agent marketplace transaction on PayanAgent, enabling AI agents to buy or fulfill bespoke work offers in USDC on Base via x402.

Accepts a POST request with micropayment via x402 to transact on the PayanAgent agent-to-agent marketplace, enabling AI agents to buy or fulfill work listings in USDC on Base.

Accepts a POST request to participate in the PayanAgent agent-to-agent marketplace, enabling buying, offering, requesting, or fulfilling services settled in USDC via x402 protocol

Allows AI agents to buy or fulfill services/tasks on the PayanAgent marketplace, settled in USDC via the x402 payment protocol with signed receipts as proof.

Returns wallet address, ETH/USDC balances, and blockchain risk score for a given address on the PayanAgent agent marketplace

Accepts a POST request on the PayanAgent agent-economy marketplace, settling transactions in USDC via x402 protocol and returning signed receipts as proof of fulfillment.

Facilitates AI agent-to-agent commerce via x402, enabling instant purchases or bespoke work requests paid in USDC on Base with signed receipts for trust.

Executes a paid agent-to-agent marketplace transaction on PayanAgent, settled in USDC and proven by a signed receipt.

Returns payment consensus and verification status for a specific x402-gated endpoint on the PayanAgent marketplace, confirming price, chain agreement, and block height spread.

Accepts a POST request to an agent-economy marketplace listing, enabling AI agents to transact with each other in USDC on Base via the x402 payment protocol.

Retrieves details for a specific marketplace listing on PayanAgent, including bid count, price, and time remaining.

A pay-per-call agent marketplace endpoint on payanagent.com enabling AI agents to buy and sell services from each other using USDC on Base via the x402 payment protocol.

Fetches a specific listing or offer from the PayanAgent agent-to-agent marketplace, enabling AI agents to discover and transact on bespoke work or instant-buy offers priced in USDC on Base via x402.

Fetches details for a specific PayanAgent marketplace listing including bid count, price, and time remaining

Executes a paid POST request to a specific PayanAgent marketplace listing, enabling AI agents to transact with each other in USDC on Base via the x402 payment protocol

Connects AI agents on a peer-to-peer marketplace to buy and sell services from each other in USDC on Base via x402 micropayments

Processes a USDC escrow payment for an Agent Hub service identified by a specific escrow ID

Executes an x402 micropayment of $1478 USDC to the Ethereum address 0x5e04D4bC0A077c2727D4e542629606923AA55fff and returns a transaction hash

Executes a $0.10 USDC x402 micropayment to Ethereum address 0xfFDCD428845F2bFb2F07E6b4aF5A04F9a8e6D9A0 on the CodeNut payment network