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Audits up to 200 API usage records for numeric and data quality issues, returning a bounded quality assessment report.
Computes a secondary-measure weighted mean (e.g. latency weighted by request count) across up to 200 API usage records, grouped by endpoint and date.
Computes a trailing (rolling) mean series over API usage metrics (requests or latency) for up to 200 time-series records, grouped by endpoint.
Computes the statistical correlation between API request counts and latency measurements across up to 200 typed records, locally, without external enrichment.
Resolve trending ENS names to their Ethereum addresses and associated records
Reconciles x402 micropayments against an internal ledger to verify payment consistency by blockchain chain.
Returns the x402 wallet balance for one or more blockchain chains via a single GET request.
Checks whether a given request ID is associated with resell risk based on fingerprint signals.
Returns a list of available agent robustness test scenarios for use in the Agent Dojo / SPAR framework
Triggers a fixed mixed-rank cluster of X/Twitter engagement (raid) on a given post URL for a nano-tier micro-payment on Solana.
Verifies a wallet's trust score across supported blockchain networks, returning a trust profile for the given wallet address.
Verifies the trust status of a specific wallet address across supported blockchain networks.
Retrieves an x402 passport record associated with a given wallet address, returning on-chain identity or access credentials gated by a $0.05 USDC micropayment.
Applies professional-grade AI video editing operations to input video via a pay-per-call x402 endpoint
Mints the first NFT using the x402 payment protocol, creating a new non-fungible token on-chain.
Performs a comprehensive DNS lookup for a domain, returning all available DNS record types in a single response
Returns a free live sample of five SEO and security findings for a website, along with a purchase link for the full $0.002 Audit402 paid report.
Returns recent gross profit history for a company (default: Apple/AAPL) sourced from live SEC EDGAR filings, formatted for sales research.
Returns recent reported operating income history for Apple (AAPL) from live SEC EDGAR filings, aimed at sales research use cases.
Returns recent reported research and development expense figures for Apple (AAPL) or any other company by ticker/CIK, sourced live from SEC EDGAR filings.
Returns recent reported total-asset figures for a company from live SEC EDGAR filings, given a ticker or CIK.
Returns recent reported total-liability figures for a company from SEC EDGAR filings, focused on sales research use cases.
Validates a CSV of application processing import records and reports blank rows, up to 1000 rows.
Validates calendar date fields in a CSV table of application processing import records, checking up to 1000 rows for date correctness and consistency.
Validates that all categorical values in an application processing CSV fall within a declared set of allowed categories, reporting any violations.
Validates cell lengths in an application processing CSV table, flagging cells that exceed a specified maximum character length.
Validates a CSV table of application processing import data against a declared contract, auditing up to 1000 rows for structural and data quality issues.
Validates a declared CSV table contract for application processing imports data, projecting and checking up to 1000 rows against declared column constraints.
Validates the column headers and cell-level contract of a CSV file containing application processing import data, returning a header contract check report.
Validates a CSV of application processing import data and returns a report identifying all invalid rows that violate declared contract rules.
Validates a CSV file of application processing import data and returns a located error report identifying cell-level issues up to 1000 rows
Validates that all numeric cells in an application processing CSV fall within a specified minimum/maximum range, returning a per-row range check report.
Validates that all numeric columns in an application-processing CSV conform to declared type constraints (range, delimiter, cell length) and returns a report of any violations.
Validates record key uniqueness in a CSV file of application processing data, reporting duplicate or conflicting keys across up to 1000 rows.
Validates that all required cells in an application processing CSV are populated, checking up to 1000 rows for missing or empty mandatory fields.
Validates a CSV table of application processing import data and flags cells containing spreadsheet formulas, up to 1000 rows.
Validates and normalizes a CSV of application processing records (up to 1000 rows) by trimming whitespace, enforcing typed values, and checking categorical constraints.
Validates a CSV file representing application processing import data and returns a validation summary report covering up to 1000 rows.
Validates a CSV of application processing records and exports only the rows that pass all defined contract constraints
Validates and audits whitespace issues in a declared CSV table of application processing records, supporting up to 1000 rows with quoted cells.
Returns reputation intelligence and provenance evidence for a given spender address to support token approval revocation decisions by autonomous agents
Returns a structured multi-section harness of gig economy app and business ideas generated based on the user's skills and hobbies
Returns personalized app and business ideas tailored to career pivots, optionally filtered by source industry
Returns bulk U.S. occupation data from the SOC classification system, optionally filtered by state or major occupational group.
Returns a cryptographically signed machine-readable proof that a given entity was NOT_OBSERVED on official sanctions/watchlist sources (e.g. OFAC), with OBSERVED/INCONCLUSIVE alternatives.
Generates zero-capital execution calldata for Aave V3 and Balancer flash loans, including executor contract templates for flash loan arbitrage strategies
Scans 80+ global bookmakers to find mathematical surebet (arbitrage) opportunities guaranteeing profit regardless of sporting event outcome
Scans for flash loan arbitrage opportunities on DeFi protocols (e.g. Aave v3), returning loan calldata, fee breakdowns, pool addresses, and an optional LLM-synthesized execution strategy.
Returns agent-ready execution calldata, gas estimates, and risk assessment for a given arbitrage opportunity
Returns ETF premium/discount data versus NAV for US, European, Asian, and crypto ETFs to identify arbitrage opportunities between market price and net asset value
Finds cross-protocol borrow/deposit spread opportunities in DeFi lending markets across multiple chains
Scans live on-chain DEX pools for arbitrage spread opportunities using real-time consensus state on AmanChain, paid per call via x402 in USDC.
Scans live on-chain DEX pools for arbitrage spread opportunities using real-time consensus state, paid per call via x402 in USDC.
Returns real-time Arbitrum (ARB) perpetual mark price, open interest, and funding rate from Hyperliquid.
Returns live APEX token market data (symbol, holder count, USD price) for the Arc blockchain network, paid per-call via x402 micropayment.
Validates declared floor areas and assignable ratios for up to 80 floors, returning exact assignable and support-area totals in a specified unit.
Returns a feed of newly launched tokens on the Arc DEX with simulated buy-sell verdict and round-trip loss percentage for each token
Inspects an Arc blockchain transaction hash as a payment and returns token data (symbol, holders, price) along with payment tier and asset details.
Returns current PnL and token screener data for the APEX token on the Arc blockchain, including price, holder count, and token symbol.
Retrieves archived token data for APEX on the Arc network, including price, holder count, and market metadata.
Returns APEX token market data (symbol, holder count, USD price) for the Arc network via a paid x402 call
Analyzes a user intent and returns an advisory route category with a recommended model or action, flagging whether human review is required.
Compares caller-supplied API billing records and usage observations to identify matches or discrepancies, returning an advisory reconciliation status without touching any authoritative ledger or verified data source.
Returns runtime and platform constraints metadata for the argon2 npm package, useful for integration and upgrade planning.
Extracts bigram (adjacent word-pair) frequency counts from article content on a public webpage or supplied HTML
Extracts a specific HTML attribute value from article elements on a given web page or supplied HTML, using static parsing without JavaScript rendering.
Checks whether a specified HTML attribute (and optionally a specific attribute value) is present on article elements in a given webpage or HTML snippet
Scans a webpage or supplied HTML to identify duplicate values of a specified attribute across article elements, comparing against a list of previously seen values.
Counts HTML elements within article content on a public webpage or supplied HTML, using a configurable term and attribute filter.
Scans an article element on a web page or supplied HTML for empty or missing attribute/text values and returns a bounded report
Detects and flags invisible Unicode characters within article elements on a web page or supplied HTML snippet.
Compares article text found at a URL or in supplied HTML against a set of prior texts to detect changes or differences
Ranks the text length of a specific HTML article element relative to a list of previously seen texts, using static parsing of a provided URL or raw HTML.
Fetches recent AI news articles focused on models, agents, inference, policy, and research, specifically curated for platform operators, with publisher links and publication dates.
Fetches recent AI news articles about models, agents, inference, and policy research, with publisher links and publication dates, targeted at research teams.
Ask a preliminary question to the arXiv Research Agent to understand its capabilities and get guidance before submitting research queries.
Extracts content from a given website URL, returning page text or structured data for downstream processing.
Fetches market data for a Base-chain ERC-20 token by its contract address
Returns AI-curated news headlines and summaries focused on CN/JP markets for a given search query and optional region
Returns AI-curated news headlines and summaries about the 'lying flat' (tang ping) trend and related social/economic topics in Chinese and Japanese markets.
Computes adjacent-period changes in ASIC miner energy efficiency (J/TH) to quantify improvement between old and new hardware configurations
Calculates the efficiency improvement percentage when upgrading from old to new ASIC miners across a batch of up to 200 row comparisons using joules-per-terahash values.
Computes benchmark correlation statistics for comparing old vs new ASIC miner energy efficiency (J/TH) across multiple data rows and benchmark reference points.
Generates a bounded distribution histogram report showing the spread of ASIC efficiency improvements (J/TH) across a supplied set of old vs. new miner records.
Computes a statistical distribution summary comparing old vs. new ASIC joules-per-terahash (J/TH) efficiency values across a batch of mining units
Identifies IQR-based statistical outliers in ASIC mining efficiency improvements by comparing old vs. new joules-per-terahash values across multiple hardware rows.
Compares named ASIC mining efficiency scenarios by calculating energy savings between old and new hardware J/TH ratings across up to 20 labeled variants.
Generates a one-input sensitivity table showing how varying old or new ASIC joules-per-terahash (J/TH) values affects mining efficiency improvement, given baseline assumptions.
Performs ordered trend analysis across multiple ASIC miner efficiency data points, comparing old vs new joules-per-terahash values to identify efficiency improvement patterns.
Ranks a batch of ASIC miner records by their efficiency improvement score, computed from old vs. new joules-per-terahash values.
Computes a rolling mean of ASIC efficiency improvement (old vs new joules-per-terahash) over a sliding window across a batch of data rows
Computes a sequential (waterfall) attribution report showing how changes in ASIC joules-per-terahash (J/TH) efficiency affect mining economics, comparing before and after scenarios.
Calculates the efficiency improvement percentage when upgrading from one ASIC miner to another, based on old and new joules-per-terahash (J/TH) values.
Calculates the efficiency target gap between old and new ASIC miner hardware based on joules-per-terahash (J/TH) values and a user-supplied numeric target.
Generates a two-dimensional scenario grid report comparing old vs. new ASIC miner efficiency (J/TH) across user-specified value ranges, revealing efficiency savings under varied assumptions.
Computes adjacent period changes in ASIC energy efficiency (joules per terahash) across a sequence of mining hardware configurations
Computes a base-100 rebased energy efficiency index for a list of ASIC miners, normalizing all entries relative to a chosen baseline miner.
Computes the statistical correlation between a set of ASIC miner data points (hashrate and power draw) and a user-supplied benchmark series.
Performs ordered trend analysis on a sequence of ASIC miner efficiency data points (watts and TH/s), returning a bounded trend report based on supplied mining assumptions.
Computes a rolling mean of energy efficiency (watts per TH/s) across a sliding window of ASIC mining data rows