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Analyzes up to 200 aggregation check records by performing string normalisation on group fields and numeric distribution analysis on source_sum or aggregate_sum values, returning two independent analytical reports.
Normalises string fields and filters rows by a numeric interval for up to 200 aggregation check records (source_sum, aggregate_sum), returning 2 analytical reports.
Normalises string fields and orders rows numerically for up to 200 supplied aggregation check records containing source_sum and aggregate_sum values, producing 2 independent analytical reports.
Runs two local analytical reports on supplied aggregation check records: string normalisation and trailing mean series computation, for up to 200 rows.
Computes a trailing moving-average time series and a date-by-category pivot table for aggregation check records containing source_sum and aggregate_sum fields, returning two analytical reports for up to 200 rows.
Computes a trailing mean time series and fills missing values in aggregation check records (source_sum, aggregate_sum) for up to 200 rows, returning two analytical reports.
Runs two analytical reports on user-supplied aggregation check records: a trailing mean time series and a keyed dataset comparison, for up to 200 rows.
Computes Pearson correlation between source_sum and aggregate_sum columns and fills missing values in a chosen field using zero, mean, or median imputation, across up to 200 aggregation check rows.
Post a reply to existing content in the AgNet decentralized AI agent knowledge graph
Creates or updates an AI agent's profile in the AgNet decentralized knowledge graph, registering the agent as a known entity on the agentic web.
Post a 'like' reaction on a piece of content in the AgNet decentralized AI knowledge graph
Sorts agricultural output rows numerically and fills missing output_tonnes or cultivated_hectares values using zero, mean, or median imputation for up to 200 records.
Audits data quality and computes Pearson correlation between output_tonnes and cultivated_hectares for up to 200 agricultural output rows, returning two independent analytical reports.
Computes a trailing moving average series and a cultivated_hectares-weighted mean for supplied agricultural output records (output_tonnes, cultivated_hectares) over up to 200 rows.
Analyzes a submitted agent trace JSON to identify retry patterns, failures, and actionable diagnostics for agent execution flows.
Analyzes caller-supplied retrieval context data and returns a structured diagnostic report identifying failure modes and warnings in a retrieval pipeline.
Groups and organizes API service search results by domain on the SignalHarness agent-native marketplace
Analyzes and aggregates evidence from multiple sources to evaluate the validity of a given claim, returning a structured JSON analysis report.
Analyzes caller-supplied JSON data to evaluate consensus or consistency across model outputs, returning structured analysis with warnings and evidence scope.
Compares and analyzes caller-supplied model outputs, returning structured analysis and validation results for AI-generated content.
Renders and validates a prompt template from caller-supplied JSON, returning analysis and any warnings about the rendered result.
Normalizes raw search result scores from caller-supplied data into a consistent, comparable scale
Analyzes differences and changes between two prompt versions or prompt-related JSON structures, returning structured analysis results.
Maps search results to structured citation references by analyzing caller-supplied search result data and returning a citation mapping with evidence metadata.
Validates and analyzes the JSON result returned by an agent tool call, returning warnings and structured analysis with a cryptographic receipt.
Analyzes and reports on the quality of search results based on caller-supplied data, returning structured analysis with warnings and evidence scope.
Compares model outputs to detect regressions or differences between versions using caller-supplied data
Analyzes a caller-supplied AI search pipeline configuration or result set and returns a regression report identifying issues or anomalies.
Generates a structured timeline analysis of an agent execution trace from caller-supplied JSON data
Analyzes chunk overlap configuration in RAG (Retrieval-Augmented Generation) pipelines and returns structured analysis results
Analyzes and diffs agent execution data provided as JSON, returning structured analysis with warnings and evidence scope metadata.
Compares model output latency metrics supplied by the caller and returns a structured analysis of relative performance differences.
Returns a ranked list of monthly cryptocurrency strategies statistically unlikely to be luck, filtered to those beating at least 90% of coin-flip benchmarks over 1 year.
Returns a ranked list of 5-minute trading strategies that statistically outperform random chance, filtered by performance criteria across multiple time windows.
Returns a ranked list of the top-performing crypto trading strategies for the current week, filtered by level and sorted by net return after costs.
Returns a ranked list of the most accurate 5-minute trading strategies by correct up/down call rate over the past 7 days.
Returns a ranked list of the top-performing crypto trading strategies for the current year, with multi-window return data and cost-adjusted criteria.
Returns a ranked list of the best-performing daily trading strategies by return over the last 30 days, filtered for intermediate-level traders.
Returns a ranked list of daily crypto trading strategies statistically unlikely to be the result of luck, filtered to beat at least 90% of coin-flip baselines over 30 days.
Returns a ranked list of weekly crypto trading strategies that statistically beat coin-flip outcomes, filtered to show only results unlikely to be due to chance.
Returns a ranked list of daily trading strategies filtered for lowest maximum drawdown, with performance metrics across multiple time windows.
Returns a ranked list of 5-minute trading strategies filtered for profitability and minimum drawdown, with multi-window return data.
Returns a ranked list of the best-performing 5-minute trading strategies sorted by return after costs over the last 7 days
Returns a ranked list of the most consistently profitable trading strategies over 30 days, scored by win-rate across time windows from 1-hour to 5-year.
Returns a ranked list of top-performing cryptocurrency trading strategies for the current month, filtered by beginner-friendliness and sorted by net return after costs.
Searches recent Google News RSS feeds for AI and labor market coverage targeted at technology buyers, returning publisher links and publication dates.
Records an attestation on the permanent aicomglobal trust layer, allowing agents to vouch for or verify services, agents, or content on-chain.
Returns a list of available AI models registered on the AI Hedge Fund institutional research platform
Search a read-only institutional financial research database by natural language query, returning forecasts and research results.
Escapes or unescapes HTML entities in a given text string, paid per-call via x402 USDC microtransaction.
Fetches and compares x402 API pricing and discovery metadata across multiple URLs or origins in a single structured call.
Decodes a JWT token's header and payload, returning structured claims, paid via x402 USDC micropayment on Base.
Sorts lines of text alphabetically or numerically, in ascending or descending order, via a pay-per-call x402 USDC micro-payment API.
Fetches and inspects x402 payment quote metadata from one or more HTTP endpoints in a single batch request.
Converts a hex color code into its RGB and HSL equivalents via a micropayment-gated GET request.
Extracts the host and naive domain parts from a given URL or hostname via a micropayment-gated GET endpoint.
Settles a minimal x402 micropayment and returns service metadata confirming the GPT-5.5 gateway is live, without invoking the upstream model.
Normalizes and validates the shape of an email address, returning a cleaned canonical form via a micropayment-gated API.
Returns a complete list of all projects tracked in the AinX402 knowledge hub database
Returns a short-term price direction signal (UP/DOWN) with confidence score, predicted percentage move, and staleness indicator for a given crypto asset.
Checks whether an Ethereum wallet address is eligible for a crypto airdrop
Audits a business domain for AI readiness and local SEO performance, returning diagnostic findings via a paid x402 endpoint.
Analyzes pricing, delivery time, and buyer volume to return a revenue verdict and next experiment recommendation for an AI-agent-sold business offer.
Calculates recommended service price floors and tier pricing based on cost, margin, and income goals
Searches recent Google News RSS for airline and travel operations coverage relevant to developers, returning publisher links and publication dates.
Searches recent Google News RSS coverage of airline and travel operations topics, returning publisher links and publication dates for operations teams.
Generates one or more UUIDs on demand via a pay-per-call API using x402/USDC micropayments
Searches live public web pages for airport transfer options and returns source links and snippets, scoped to agent-builder use cases.
Searches live public web pages for airport transfer and transportation options, returning relevant snippets and source links tailored for analyst research.
Searches live public web pages for airport transfer and transport options, returning source links and snippets relevant to developers.
Searches live public web pages for airport transfer and transportation options, filtered for relevance to technology sector buyers, returning source links and snippets.
Returns a breakdown of academic publication samples on air quality monitoring, including DOI references and source attribution, using Crossref publisher metadata.
Returns structured academic citation records (DOIs and source attribution) on air quality monitoring topics using Crossref publisher metadata
Analyzes supplied air quality observation records to produce two reports: category frequency distribution and daily sum time series for concentration or observation_count fields.
Analyzes supplied air quality observation records to produce a duplicate key report and a base-100 index series for concentration or observation_count fields.
Analyzes up to 200 air quality observation rows to produce a duplicate key report and category frequency distribution for concentration and observation_count fields.
Identifies and removes exact duplicate rows from a supplied batch of air quality observation records (station, date, PM2.5, humidity).
Compares two supplied air quality datasets row-by-row (by key) and fills explicit missing values for concentration and observation_count fields, returning two analytical reports.
Analyzes supplied air quality observation records by computing numeric distribution statistics and adjacent row changes for concentration or observation_count fields.
Computes numeric distribution statistics and row ordering for supplied air quality observation records (concentration and observation count fields), returning two analytical reports for up to 200 rows.
Filters air quality observation rows by a numeric interval and flags statistical outliers using IQR analysis, returning two analytical reports for up to 200 rows.
Computes numeric row ordering and adjacent row changes for supplied air quality observation records (concentration or observation_count) across up to 200 rows.
Computes numeric row ordering and trailing mean series for up to 200 air quality observation records (concentration or observation_count fields).
Runs two local analytical reports on supplied air quality observation rows: a record quality audit and category frequency analysis for concentration and observation_count fields.
Runs two analytical reports on supplied air quality observation records: a record quality audit and an exact row deduplication check, for up to 200 rows.
Runs three local analytical reports on supplied air quality observation records: a record quality audit, string normalisation, and keyed dataset comparison — up to 200 rows, no external lookups.
Computes a secondary-measure weighted mean over up to 200 air quality observation records (PM2.5 and humidity), returning a local descriptive statistic with no enrichment or forecasting.
Normalises string fields in a batch of air quality observation records (station names, dates) and returns a descriptive string normalisation report.
Submits a batch of agentic AI inputs/outputs for security analysis and threat detection, returning a batch job ID to poll for results
Performs an HTTP GET, HEAD, or DELETE request to an external URL as part of AiSpace's augmentation pipeline, returning a simple success/failure response
Proxies HTTP GET/HEAD/DELETE requests to a specified blockchain network's RPC endpoint via the AiSpace platform, enabling paid crypto network interactions.
Fetches and parses an RSS 2.0, Atom, or JSON feed URL and returns structured metadata and items as JSON
Purchase $2 USDC of Aizamon store credit (SKU_AG_CREDITS_02) to use toward security reports and Tor tooling services
Returns top DeFi protocol yield rates (APY) and total value locked (TVL) across chains like Ethereum
Looks up risk score, transaction history, and security tags for a blockchain address
Returns a trust and reliability score for a blockchain wallet address based on payment history and on-chain activity
Estimates fees and transit time for bridging tokens across blockchain networks, recommending the best bridge and listing alternatives
Returns total value locked (TVL) data across DeFi chains and protocols, including 24-hour change metrics
Returns technical analysis for a given cryptocurrency symbol, including trend, recommendation, and key indicators (RSI, moving averages, current price).
Computes category frequency distributions and a secondary-measure weighted mean for alert triage records (alert_count, confirmed_events) — two analytical reports on up to 200 supplied rows.