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Duplicate Observations Numeric Interval Filter and Keyed Dataset Comparisonx402$0.01/message
market.datapackvibe.comDuplicate Observations — Numeric Interval Filter + Trailing Mean Seriesx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics: Numeric Row Ordering + Adjacent Row Changesx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analyzer — Numeric Row Ordering & Base-100 Seriesx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics: Numeric Row Ordering + Daily Sum Seriesx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics: Numeric Row Ordering + Date-by-Category Pivotx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics: Row Ordering + Equal-Width Histogramx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics — Numeric Row Ordering + IQR Outlier Flagsx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Numeric Row Ordering and Interval Filter Analyticsx402$0.01/messagemarket.datapackvibe.comDuplicate Observations — Record Quality Audit + Base-100 Seriesx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Record Quality Audit and Category Frequenciesx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Record Quality Audit and Daily Sum Seriesx402$0.01/messagemarket.datapackvibe.comDuplicate Observations — Record Quality Audit + Equal-Width Histogramx402$0.01/messagemarket.datapackvibe.comDuplicate Observations — Record Quality Audit + Exact Row Deduplicationx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics: Record Quality Audit + Exact Row Deduplication + Adjacent Row Changesx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics — Quality Audit, Deduplication & Daily Sum Seriesx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics — Record Quality Audit, Exact Row Deduplication & Duplicate Key Reportx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics: Record Quality Audit + Exact Row Deduplication + Equal-Width Histogramx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics — Record Quality Audit, Exact Row Deduplication & IQR Outlier Flagsx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics: Quality Audit + Deduplication + Numeric Interval Filterx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics — Record Quality Audit, Exact Row Deduplication & Trailing Mean Seriesx402$0.01/messagemarket.datapackvibe.comDuplicate Observations — Record Quality Audit + IQR Outlier Flagsx402$0.01/messagemarket.datapackvibe.comDuplicate Observations — Record Quality Audit + Keyed Dataset Comparisonx402$0.01/messagemarket.datapackvibe.comDuplicate Observations — Record Quality Audit + Numeric Interval Filterx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Record Quality Audit and String Normalisationx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics — Record Quality Audit, String Normalisation & Adjacent Row Changesx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics — Record Quality Audit, String Normalisation & Base-100 Seriesx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics — Record Quality Audit + String Normalisation + Category Frequenciesx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics — Record Quality Audit, String Normalisation & Daily Sum Seriesx402$0.01/messagemarket.datapackvibe.comDuplicate Observations — Record Quality Audit, String Normalisation & Duplicate Key Reportx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Data Quality Analyzerx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics — Record Quality Audit + String Normalisation + Grouped Numeric Summaryx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Quality Audit – Record Quality, String Normalisation & IQR Outlier Flagsx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics — Record Quality Audit, String Normalisation & Keyed Dataset Comparisonx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics — Record Quality Audit, String Normalisation & Numeric Distributionx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics — Record Quality Audit, String Normalisation & Trailing Mean Seriesx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics: Record Quality Audit, String Normalisation & Two-Measure Correlationx402$0.01/messagemarket.datapackvibe.comDuplicate Observations — Record Quality Audit + Trailing Mean Seriesx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Record Quality Audit + Two-Measure Correlationx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics: Weighted Mean + Date-Category Pivotx402$0.01/messagemarket.datapackvibe.comDuplicate Observations — Secondary-Measure Weighted Mean + Keyed Dataset Comparisonx402$0.01/messagemarket.datapackvibe.comDuplicate Observations String Normalisation and Adjacent Row Changes Analyserx402$0.01/messagemarket.datapackvibe.comDuplicate Observations — String Normalisation + Category Frequenciesx402$0.01/messagemarket.datapackvibe.comDuplicate Observations — String Normalisation + Daily Sum Series Analyticsx402$0.01/messagemarket.datapackvibe.comDuplicate Observations — String Normalisation + Duplicate Key Reportx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics: String Normalisation + Equal-Width Histogramx402$0.01/messagemarket.datapackvibe.comDuplicate Observations — String Normalisation + Grouped Numeric Summaryx402$0.01/messagemarket.datapackvibe.comDuplicate Observations — String Normalisation + IQR Outlier Flagsx402$0.01/messagemarket.datapackvibe.comDuplicate Observations — String Normalisation + Numeric Interval Filterx402$0.01/messagemarket.datapackvibe.comDuplicate Observations — Trailing Mean Series + Base-100 Seriesx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics: Trailing Mean Series + Date by Category Pivotx402$0.01/messagemarket.datapackvibe.comDuplicate Observations — Trailing Mean Series + Equal-Width Histogramx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics: Trailing Mean Series + Missing-Value Fillx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Trailing Mean & IQR Outlier Flagsx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics: Trailing Mean Series + Keyed Dataset Comparisonx402$0.01/messagemarket.datapackvibe.comDuplicate Observations — Trailing Mean Series + Two-Measure Correlationx402$0.01/messagemarket.datapackvibe.comDuplicate Observations Analytics: Two-Measure Correlation + Date-by-Category Pivotx402$0.01/messagemarket.datapackvibe.comDustSwap Autofarm Skillx402$0.99/message
x402.xiaojiapi.comDynamic Pricing Models: Recent Publications via Crossrefx402$0.01/messagemarket.datapackvibe.comDYOE Audit & Verify — Business & Website Verificationx402$0.05/message
agents.dyoeway.orgDYOE Guardian — Agent Action Authorization Gatex402$0.02/message
dyoe-audit-verify.netlify.appEA Access Store - $29.99 Membership Purchasex402$30.79/message
eaaccess.x402.fiEA Play $25 Subscription Purchasex402$25/message
eaplay.x402.fiEarnOrg Credit Pack Purchase — $20 USDCx402$20/message
api.earnorg.comEarnOrg Credit Pack Purchase — 1000 USDCx402$1000/messageapi.earnorg.comEarnOrg Credit Pack Purchase — $50 USDCx402$50/messageapi.earnorg.comEarnOrg Credit Pack Purchase — $5 USDCx402$5/messageapi.earnorg.comEarnOrg Credits Top-Upx402$1/messageapi.earnorg.comEarnClaw Credit Pack Purchase — 50 Creditsx402$50/message
api.earnclaw.comINCOME 2 Agent Tools – Seller Statusx402$0.001/message
earn-tools-backend.onrender.comearn-your-right Code Review Memox402$0.75/message
earn-your-right.run402.comBase Bytecode Info — Solidity/EVM Bytecode Analysisx402$0.15/messageearn-your-right.run402.comEBIT Interest Coverage Benchmark Correlation Calculatorx402$0.01/messagemarket.datapackvibe.comEBIT Interest Coverage Local Finite-Change Elasticity Calculatorx402$0.01/messagemarket.datapackvibe.comEcology Observations Control Coverage Validatorx402$0.035162/message
mahastrategies.comEcology Observations Missingness Co-occurrencex402$0.020315/messagemahastrategies.comEcology Observations Record Sequence Diffx402$0.035164/messagemahastrategies.comEcology Observations Timestamp Order Auditx402$0.015315/messagemahastrategies.comEcommerce Analytics Tools Search for Analystsx402$0.01/messagemarket.datapackvibe.comEcommerce Analytics Tools Search for Developersx402$0.01/messagemarket.datapackvibe.comEcommerce Analytics Tools for Operations Teamsx402$0.01/messagemarket.datapackvibe.comEcommerce Analytics Tools Search for Technology Buyersx402$0.01/messagemarket.datapackvibe.comEcommerce Email Redactorx402$0.01/messagemarket.datapackvibe.comEcommerce Fraud Prevention News Search for Agent Buildersx402$0.01/messagemarket.datapackvibe.comEcommerce Fraud Prevention News Search for Developersx402$0.01/messagemarket.datapackvibe.comEcommerce Fraud Prevention News for Operations Teamsx402$0.01/messagemarket.datapackvibe.comEcommerce Fraud Prevention News for Technology Buyersx402$0.01/messagemarket.datapackvibe.comEcommerce Product Feed Tools Web Search for Agent Buildersx402$0.01/messagemarket.datapackvibe.comEcommerce Product Feed Tools Search for Operations Teamsx402$0.01/messagemarket.datapackvibe.comEcommerce Text Length and Word Counterx402$0.01/messagemarket.datapackvibe.comEcommerce URL Extractorx402$0.01/messagemarket.datapackvibe.comEcommerce URL-Safe Slug Makerx402$0.01/messagemarket.datapackvibe.comEcommerce Whitespace and Line-Break Cleanerx402$0.01/messagemarket.datapackvibe.comEconomic Data Explorer - News Article Lookupx402$0.02/message
econdash.orgEconomic Order Quantity Base-100 Rebase Reportx402$0.01/messagemarket.datapackvibe.comEconomic Order Quantity Distribution Histogramx402$0.01/messagemarket.datapackvibe.comEconomic Order Quantity (EOQ) Distribution Summaryx402$0.01/messagemarket.datapackvibe.comEconomic Order Quantity – Ordered Trend Analysisx402$0.01/messagemarket.datapackvibe.comEconomic Order Quantity Record Rankingx402$0.01/messagemarket.datapackvibe.comEconomic Order Quantity - Sequential Input-Change Attribution (Waterfall)x402$0.01/messagemarket.datapackvibe.com
Analyzes duplicate observation records by applying a numeric interval filter and comparing two keyed datasets, returning two analytical reports for up to 200 rows.
Applies a numeric interval filter and computes a trailing mean series on up to 200 duplicate-observation records, returning two analytical reports from local engines.
Analyzes duplicate observation data (duplicate_rows, total_rows) by computing numeric row ordering and detecting adjacent row changes across up to 200 records, delivering two independent analytical reports.
Generates two analytical reports (numeric row ordering and base-100 indexed series) for supplied duplicate-observation records across up to 200 rows.
Generates two local analytical reports — numeric row ordering and daily sum series — for supplied duplicate-observation records (duplicate_rows, total_rows) across up to 200 rows.
Runs two local analytical reports on duplicate-observation data: numeric row ordering and a date-by-category pivot, for up to 200 supplied rows.
Generates two local analytical reports — numeric row ordering and equal-width histogram — for supplied duplicate_rows and total_rows observation data.
Analyzes supplied duplicate-observation records (duplicate_rows, total_rows) to produce numeric row ordering and IQR-based outlier flag reports, up to 200 rows, with two independent analytical reports per call.
Analyzes supplied duplicate-observation records by applying numeric row ordering and interval filtering on duplicate_rows or total_rows fields, returning up to 2 analytical reports for up to 200 rows.
Analyzes supplied duplicate-observation records to produce a record quality audit report and a Base-100 indexed series, covering up to 200 rows in two independent analytical reports.
Analyzes up to 200 rows of duplicate-observation data to produce two reports: a record quality audit and category frequency breakdown by dataset group and date.
Runs two local analytical reports on supplied duplicate-observation records: a record quality audit and a daily sum series, across up to 200 rows.
Runs two local analytical reports on duplicate-observation data: a record quality audit and an equal-width histogram over up to 200 supplied rows.
Performs a record quality audit and exact row deduplication analysis on supplied duplicate_rows/total_rows data, returning two independent analytical reports for up to 200 rows.
Runs three analytical reports on duplicate-observation data: a record quality audit, exact row deduplication, and adjacent row change detection, for up to 200 rows of supplied data.
Runs three local analytical reports on duplicate-observation data: a record quality audit, exact row deduplication, and a daily sum time series, processing up to 200 rows per call.
Analyzes supplied duplicate-observation records to produce three independent reports: a record quality audit, an exact row deduplication result, and a duplicate key report — all processed locally without external lookups.
Runs three local analytical reports on duplicate observation data: a record quality audit, exact row deduplication, and an equal-width histogram for a specified numeric field.
Analyzes up to 200 rows of duplicate-observation records and returns three reports: a record quality audit, exact row deduplication summary, and IQR-based outlier flags for duplicate_rows or total_rows fields.
Runs three local analytical reports on supplied duplicate-observation records: a record quality audit, exact row deduplication, and a numeric interval filter on duplicate_rows or total_rows.
Runs three local analytical reports on duplicate observation records: a record quality audit, exact row deduplication, and a trailing mean series for up to 200 rows.
Performs a record quality audit and IQR-based outlier detection on up to 200 rows of duplicate observation data (duplicate_rows, total_rows), returning two independent analytical reports.
Analyzes up to 200 duplicate-observation records to produce two independent reports: a record quality audit and a keyed dataset comparison of duplicate/total row counts across dataset groups.
Audits record quality and applies a numeric interval filter to supplied duplicate-observation data (duplicate_rows, total_rows), returning two independent analytical reports for up to 200 rows.
Audits and normalises up to 200 rows of duplicate-observation records, producing a record quality report and a string normalisation report using local analytical engines.
Analyzes up to 200 duplicate-observation records and returns three independent reports: a record quality audit, string normalization analysis, and adjacent row change detection.
Runs three local analytical reports on duplicate observation data: a record quality audit, string normalisation, and a base-100 index series — for up to 200 rows of duplicate_rows/total_rows data.
Runs three local analytical reports (record quality audit, string normalisation, and category frequencies) on up to 200 rows of duplicate-observation data (duplicate_rows, total_rows) without any external lookups or predictions.
Runs three local analytical reports (record quality audit, string normalisation, and daily sum series) on up to 200 rows of duplicate-observation data containing duplicate_rows and total_rows fields.
Analyzes supplied duplicate-observation records to produce three local analytical reports: a record quality audit, string normalization output, and a duplicate key report — all without external lookups or live data.
Runs record quality audit, string normalization, and exact row deduplication analysis on supplied duplicate-observation records, returning three independent analytical reports.
Runs three local analytical reports (record quality audit, string normalisation, and grouped numeric summary) on up to 200 duplicate-observation records containing duplicate_rows and total_rows fields.
Runs three analytical reports on supplied duplicate-observation data: record quality audit, string normalisation, and IQR-based outlier flagging for duplicate_rows and total_rows fields.
Runs three independent analytical reports (record quality audit, string normalisation, and keyed dataset comparison) on up to 200 duplicate-observation records containing duplicate_rows and total_rows fields.
Runs three analytical reports (record quality audit, string normalisation, numeric distribution) on up to 200 duplicate-observation records containing duplicate_rows and total_rows fields.
Runs three local analytical reports (record quality audit, string normalisation, and trailing mean series) on up to 200 rows of duplicate-observation data containing duplicate_rows and total_rows counts.
Runs three local analytical reports on supplied duplicate-observation records: a record quality audit, string normalisation, and a two-measure correlation between duplicate_rows and total_rows.
Analyzes supplied duplicate-observation records to produce a record quality audit report and a trailing mean series for either duplicate_rows or total_rows, using local analytics on up to 200 rows.
Analyzes up to 200 duplicate observation records to produce a record quality audit and a two-measure correlation report between duplicate_rows and total_rows fields.
Computes a secondary-measure weighted mean and a date-by-category pivot table for up to 200 duplicate observation records in two bundled reports.
Computes a secondary-measure weighted mean on duplicate observation records and compares two keyed datasets, producing two analytical reports for up to 200 rows.
Analyses supplied duplicate-observation records to produce two local analytical reports: string normalisation and adjacent row changes, for up to 200 rows.
Analyzes up to 200 duplicate observation records to produce two reports: string normalisation of text fields and category frequency distributions for dataset groups.
Analyzes duplicate observation records by performing string normalization and generating daily sum series reports for up to 200 rows across dataset groups.
Runs two local analytical reports on supplied duplicate-observation records: string normalisation and duplicate key detection, for up to 200 rows.
Runs string normalisation and equal-width histogram analysis on up to 200 duplicate-observation records (duplicate_rows, total_rows) using local analytical engines with no external lookups.
Accepts up to 200 duplicate-observation records and produces two local analytical reports: string normalisation of labels/groups and a grouped numeric summary of duplicate_rows and total_rows metrics.
Runs string normalisation and IQR-based outlier detection on up to 200 duplicate-observation records (duplicate_rows, total_rows), returning two analytical reports per call.
Normalises dataset_group strings and filters duplicate_rows/total_rows values by a numeric interval for up to 200 duplicate-observation records, returning two analytical reports.
Computes a trailing mean time series and a base-100 indexed series for duplicate_rows or total_rows metrics across up to 200 supplied observation records.
Computes a trailing mean time series and a date-by-category pivot table for duplicate-observation metrics (duplicate_rows, total_rows) across up to 200 supplied data rows.
Computes a trailing mean time series and an equal-width histogram for supplied duplicate-row observation records (duplicate_rows, total_rows) across up to 200 rows.
Computes a trailing mean time series and fills explicit missing values for up to 200 duplicate-observation records, returning two analytical reports per call.
Computes a trailing mean time series and flags IQR-based outliers for duplicate_rows or total_rows observations across up to 200 records in two independent analytical reports.
Computes a trailing mean time series and a keyed dataset comparison for up to 200 duplicate-observation records (duplicate_rows, total_rows) across two independent reports.
Computes a trailing mean time series and two-measure correlation for up to 200 duplicate-observation records, returning two analytical reports per call.
Runs two local analytical reports on duplicate-observation records: a correlation between duplicate_rows and total_rows, plus a date-by-category pivot table, for up to 200 rows.
Retrieves a ready-to-deploy agent skill script that automates DustSwap point farming on Base mainnet via daily check-ins and swap-volume quests
Returns recent academic publications on dynamic pricing models using Crossref publisher metadata, including DOI references and source attribution.
Instantly verifies and audits a business or website, providing trust and legitimacy signals for AI agents and humans.
Evaluates whether an AI agent is permitted to take a specific action on behalf of its human, returning approved, needs_human, or denied based on trust and policy rules.
Purchases an EA Access membership ($29.99) via USDC payment, granting access to EA's game vault, early trials, and member discounts.
Purchases an EA Play $25 subscription tier via USDC payment, granting access to EA's game library, in-game rewards, early trials, and member discounts.
Purchases a $20 USDC credit pack that provisions an organization ID, credit balance, settlement context, and wallet session for deploying autonomous finance agent organizations.
Purchases a $1000 USDC credit pack to fund and activate an autonomous finance agent organization on EarnOrg, returning an org ID, balance, settlement, and wallet session.
Purchases a fixed $50 USDC credit pack for EarnOrg, returning an org ID, balance details, settlement info, and a wallet session for deploying autonomous finance agent organizations.
Purchases a $5 USDC credit pack for an EarnOrg autonomous finance agent organization, returning org credentials, balance, settlement info, and a wallet session.
Adds USDC credits to an EarnOrg account to fund autonomous finance agent organization operations
Purchase a 50-credit pack for the EarnClaw autonomous finance agent workspace via x402 micropayment
Returns the current operational status of the INCOME 2 Agent Tools seller node, including asset type, network, and attestation readiness for x402 pay-per-call transactions.
Returns a paid AI-generated code review memo for Solidity or general code, delivered via x402 micropayment on Base USDC
Analyzes EVM/Base blockchain bytecode to extract structured information about smart contracts for a flat $0.15 USDC fee via x402.
Calculates the Pearson correlation between a time series of EBIT interest coverage ratios and user-supplied benchmark values, returning a bounded statistical report with formula, units, and limitations.
Computes the local finite-change elasticity of EBIT interest coverage ratio with respect to a small percentage change in one specified input variable (EBIT or interest expense).
Validates that each required control in an ecology observation run/method/revision has exactly one satisfied control declaration, flagging missing, unknown, duplicate, or wrong-frame controls
Counts paired missing owner, revision, and content pins across ecology observation records without treating missing values as matching, flagging co-occurrence patterns in supplied dataset/observation/event/taxon/method metadata.
Computes a record-level diff between two sequences of ecology observation records, separating true record insertions/deletions from reordering of surviving records.
Validates that ecology observation records appear in correct collection, processing, and export timestamp order and checks that records fall within a caller-defined maximum age window.
Searches live public web pages for ecommerce analytics tools content specifically targeted at analysts, returning source links and text snippets.
Searches live public web pages for ecommerce analytics tools information tailored to developers, returning source links and snippets.
Searches live public web pages for ecommerce analytics tool information specifically curated for operations teams, returning source links and snippets.
Searches live public web pages for information about ecommerce analytics tools targeted at technology buyers, returning source links and text snippets.
Replaces email addresses in text with a privacy marker, optimized for ecommerce workflows
Searches recent Google News RSS coverage of ecommerce fraud prevention topics relevant to agent builders, returning publisher links and publication dates.
Searches recent Google News RSS for ecommerce fraud prevention coverage relevant to developers and returns publisher links with publication dates.
Searches recent Google News RSS for ecommerce fraud prevention coverage relevant to operations teams, returning publisher links and publication dates.
Searches recent Google News RSS coverage of ecommerce fraud prevention topics targeted at technology buyers, returning publisher links and publication dates.
Searches live public web pages about ecommerce product feed tools relevant to agent builders, returning source links and text snippets.
Searches live public web pages for information about ecommerce product feed tools relevant to operations teams, returning source links and snippets.
Counts words and characters in supplied text, optimized for ecommerce content workflows.
Extracts all unique HTTP and HTTPS links from supplied text, optimized for ecommerce workflows.
Converts a product or page title into a lowercase, URL-safe slug optimized for ecommerce workflows.
Normalizes whitespace and removes extra line breaks from text strings, optimized for ecommerce product and content workflows.
Retrieves a specific news article by ID from the Economic Data Explorer platform covering economic, demographic, and health indicators.
Computes a base-100 rebased index of Economic Order Quantity (EOQ) values across a series of retail scenarios for comparative analysis
Computes a distribution histogram of Economic Order Quantity (EOQ) values across multiple retail scenarios using supplied demand, order cost, and holding cost inputs.
Computes a distribution summary across multiple Economic Order Quantity (EOQ) scenarios given retail demand, order cost, and holding cost inputs.
Performs ordered trend analysis across a sequence of Economic Order Quantity (EOQ) scenarios using supplied retail figures, returning a bounded trend deliverable for local scenario analysis.
Ranks multiple sets of EOQ inputs by their calculated economic order quantity values, enabling scenario comparison across retail inventory configurations.
Performs sequential (waterfall) attribution analysis showing how each input change to the Economic Order Quantity formula contributes to a shift in the EOQ result between two scenarios.