All Services

Computes and compares simple payback periods for two ASIC repair scenarios (before and after), given repair cost and restored daily revenue for each.

Generates a distribution histogram of simple payback periods for ASIC miner repair scenarios based on repair cost and restored daily revenue inputs.

Computes a distribution summary of simple payback periods for ASIC miner repair scenarios given repair cost and restored daily revenue inputs.

Identifies IQR-based statistical outliers in ASIC repair simple payback calculations across a batch of repair cost and restored daily revenue pairs.

Compares named ASIC miner repair scenarios by computing simple payback periods from user-supplied repair cost and restored daily revenue assumptions.

Analyzes ordered trends in ASIC miner repair payback periods across multiple repair/revenue scenarios using supplied cost and daily revenue assumptions.

Computes a rolling mean of simple payback periods across multiple ASIC repair scenarios using user-supplied repair cost and restored daily revenue assumptions.

Computes how a change in repair cost or restored daily revenue shifts the simple payback period for an ASIC miner repair, attributing the delta sequentially to each input change.

Calculates the simple payback period for an ASIC miner repair given repair cost and restored daily revenue, returning the formula, units, and result.

Calculates the target gap for ASIC miner repair simple payback given repair cost and restored daily revenue assumptions

Classifies whether the simple payback period for an ASIC miner repair falls below, within, or above a user-defined threshold range, given repair cost and restored daily revenue.

Generates a two-dimensional scenario grid showing ASIC miner repair simple payback periods across combinations of repair cost and restored daily revenue values.

Computes a weighted result mean for ASIC miner repair simple payback periods across multiple repair scenarios using user-supplied cost and restored-earnings assumptions.

Calculates adjacent period changes in straight-line daily depreciation for ASIC mining hardware given purchase cost, residual value, and useful life in days.

Computes a base-100 rebased straight-line daily depreciation index for one or more ASIC mining hardware rows, using supplied purchase price, residual value, and useful life in days.

Bins straight-line daily depreciation values for a batch of ASIC mining hardware records into a distribution histogram with configurable bin count.

Computes a distribution summary for straight-line daily depreciation across a batch of ASIC mining hardware assets, given purchase cost, residual value, and useful life in days.

Computes IQR-based outlier flags for straight-line daily depreciation values across a batch of ASIC mining hardware entries.

Performs ordered trend analysis on a batch of ASIC mining hardware assets using straight-line daily depreciation, returning a structured trend report based on supplied purchase price, residual value, and useful life in days.

Ranks a batch of ASIC miner depreciation records by their computed straight-line daily depreciation rate, using supplied purchase cost, residual value, and useful life in days.

Computes a rolling mean of straight-line daily depreciation values across a batch of ASIC mining hardware entries using user-supplied purchase price, residual value, and useful life in days.

Computes a sequential input-change attribution (waterfall) report for ASIC miner straight-line daily depreciation, showing how changes in purchase price, residual value, and useful life each shift the daily depreciation figure.

Classifies the daily straight-line depreciation of ASIC mining hardware against user-defined lower and upper thresholds, returning a bounded classification report.

Computes the weighted mean of straight-line daily depreciation values across a batch of ASIC mining hardware assets using user-supplied purchase price, residual value, and useful life in days.

Batch-calculates the unamortised (residual) planning value for ASIC mining hardware given initial and allocated USD cost inputs across up to 200 rows.

Computes and compares ASIC unamortised planning value before and after a change in initial and allocated USD, returning a bounded delta report using supplied mining assumptions.

Generates a distribution histogram of unamortised planning values across a batch of ASIC mining assets, given initial and allocated USD cost inputs.

Computes a one-input sensitivity table for ASIC unamortised planning value, varying either initial or allocated USD cost across up to 50 values against a baseline mining assumption set.

Computes a Base-100 rebased index series showing the daily net contribution change from an ASIC mining hardware upgrade, given extra revenue, saved energy costs, and extra overhead inputs.

Calculates the net daily contribution change from an ASIC miner upgrade across up to 200 scenarios in a single batch, given extra revenue, saved energy, and extra overhead inputs.

Compares mining contribution metrics (revenue, energy savings, overhead) before and after an ASIC hardware upgrade to quantify the daily financial impact.

Generates a distribution histogram showing how daily net contribution changes across multiple days when upgrading ASIC mining hardware, given user-supplied revenue, energy savings, and overhead figures.

Generates a statistical distribution summary (quartiles, min/max, mean) for ASIC miner upgrade daily contribution change based on extra revenue, saved energy, and extra overhead inputs.

Compares named mining scenarios against a baseline to quantify the daily net contribution change from an ASIC hardware upgrade

Analyzes ordered trends in daily net contribution changes from an ASIC miner upgrade across a time series of energy savings, extra revenue, and extra overhead rows.

Ranks multiple ASIC upgrade scenarios by their net daily contribution change (extra revenue + saved energy minus extra overhead) and identifies the best-performing option.

Calculates the net daily contribution change from upgrading an ASIC miner, given user-supplied energy savings, extra revenue, and extra overhead figures.

Calculates the target gap for an ASIC miner upgrade's daily contribution change given saved energy, extra revenue, and extra overhead inputs

Generates a two-dimensional scenario grid showing how ASIC miner upgrade daily contribution changes across combinations of extra revenue, saved energy, and extra overhead values.

Computes a weighted mean of daily net contribution change (revenue gain + energy savings minus overhead) across multiple ASIC upgrade scenarios using caller-supplied weights.

Extracts a specific HTML attribute value from aside elements on a given webpage or supplied HTML, filtered by a search term.

Checks whether a specified HTML attribute (optionally with a given value) is present on aside elements in a webpage or supplied HTML snippet.

Extracts distinct (unique) attribute values from HTML <aside> elements on a given webpage or supplied HTML, filtered by a search term.

Parses a web page or HTML snippet to find aside elements that share duplicate values for a specified attribute, filtered by a search term.

Scans HTML aside elements from a URL or raw HTML and reports duplicate values for a specified attribute across those blocks, optionally comparing against previously seen values.

Counts the number of <aside> HTML elements on a given web page or in supplied HTML, with optional filtering by attribute, attribute value, and term.

Scans a webpage or HTML snippet for aside elements and reports which ones have empty or missing attribute values.

Extracts HTML fragment content from <aside> elements in a webpage or supplied HTML by matching on a specified attribute and search term

Detects and reports invisible Unicode characters within HTML aside elements on a given webpage or supplied HTML snippet.

Extracts and joins the visible text content from HTML aside elements on a webpage, filtered by attribute and value, returning a single bounded text result.

Searches an HTML page's aside elements for literal text term matches, returning matched aside blocks and their attributes

Extracts aside block text from a webpage and compares it against a supplied set of previous text values to detect changes or matches.

Extracts structured data from HTML aside elements on a public web page or supplied HTML, filtered by a search term and attribute value.

Extracts term-context excerpts from HTML aside blocks on a webpage, returning snippets where a specified term appears near aside elements.

Extracts and returns text length statistics for HTML aside blocks from a given webpage URL or raw HTML input.

Answers a natural language question via the Flux AI assistant, covering APEX ecosystem topics like tokens, swaps, trading, and blockchain data.

Compares declared assay volumes expressed in L, mL, or µL using exact integer microunit ratios to detect unit inconsistencies in batch records

Computes earliest/latest start and finish times, total slack, and peak resource overlap for a DAG of up to 48 manufacturing tasks using critical path method (CPM).

Validates a CSV asset register import file and identifies blank rows, up to 1000 rows.

Validates cell lengths in an asset register CSV against configurable maximum character limits, reporting any cells that exceed the threshold.

Validates a CSV asset register import file and returns a report identifying all invalid rows based on schema, value ranges, and category constraints.

Validates numeric column values in an asset register CSV file, checking that all declared numeric fields fall within specified bounds and conform to expected types.

Validates that required cells in an asset register CSV are present and non-empty, returning a per-row required cell check report.

Validates a CSV asset register for spreadsheet formula injection risks, flagging cells that contain formula-like content across up to 1000 rows.

Validates an asset register CSV for whitespace anomalies, checking up to 1000 rows against declared column contracts with configurable delimiters and cell constraints.

Returns a breakdown of academic publication samples on assistive technology accessibility using Crossref publisher metadata, with DOI references and source attribution.

Returns structured academic citation records with DOI references and source attribution for assistive technology accessibility research, sourced from Crossref publisher metadata.

Audits an agent's coordination readiness across 16 protocol controls and returns a score, verdict, and findings

Returns a breakdown of security advisory severities for a specific version of the npm package 'astro', sourced from OSV (Open Source Vulnerabilities).

Returns a list of region/state codes for the United States

Retrieves npm registry install lifecycle hook metadata for the astro package, useful for integration planning and upgrade analysis.

Returns module and type entrypoints from the npm registry metadata for the astro package, useful for integration and upgrade planning.

Fetches published artifact integrity metadata (checksums, signatures, dist info) for the astro npm package to support integration and upgrade planning.

Returns runtime and platform constraint metadata for the 'astro' npm package, useful for integration and upgrade planning.

Hires a specific autonomous AI agent on Atelier's Solana-based marketplace to execute a work order described in a brief, paying $4.39 USDC per call via x402

Dispatches a specific autonomous AI agent service on the Atelier marketplace, submitting a work brief and receiving an order confirmation with a result URL, paid instantly via USDC on Solana.

Dispatches a work brief to a specific autonomous AI agent on the Atelier marketplace and initiates an order paid via USDC on Solana

Independently verifies a pre-registered Atlas-controlled HTTPS endpoint from an external vantage point and returns machine-readable evidence with a SHA-256 hash.

Returns preflight/capability metadata for the Anubis crypto market intelligence API, describing available endpoints and payment requirements before committing funds.

Returns a crypto market intelligence audit for AI agents, covering market health, risk signals, or asset metrics on Base mainnet via x402 micropayment.

Returns AI-ready crypto market intelligence signals for trading and market analysis

Returns forex market risk intelligence and analysis for AI agents via a pay-per-call x402-protected endpoint on Base mainnet.

Returns on-chain data intelligence signals for AI agents via a pay-per-call x402-protected endpoint on Base mainnet

Retrieves historical on-chain data intelligence for a given asset or property via a pay-per-call x402-protected API on Base mainnet.

Returns AI-agent-optimized on-chain data intelligence and decision signals for a given set of blockchain properties, paid per-call via x402 on Base mainnet.

Provides AI-agent-accessible stock market intelligence and audit analysis for equities via a metered x402 API on Base mainnet.

Returns AI-driven stock market intelligence and buy/sell/hold decision signals for a given set of stock properties or symbols.

Returns preflight/discovery metadata for the Viking stock market intelligence API, including available endpoints, pricing, and payment requirements before committing a paid call.

Computes and correlates the probability of finding at least one solo block across varying mining assumptions against a set of benchmark thresholds.

Computes and returns a distribution histogram of the probability of finding at least one solo block, given supplied mining rate and duration assumptions.

Computes a distribution summary for the probability that a miner finds at least one solo block over a given number of days, given an expected daily block rate.

Computes IQR-based outlier flags for at-least-one solo block probability across a set of mining scenarios defined by expected blocks per day and duration.

Computes and analyzes the ordered trend of at-least-one solo block probability across a series of (expected_blocks_per_day, days) input pairs for cryptocurrency mining scenarios.

Computes a rolling mean of the at-least-one solo block probability for a series of mining scenarios defined by expected blocks per day and duration.

Calculates the probability of finding at least one solo block given expected blocks per day and a duration in days

Calculates the target gap for achieving at least one solo mined block given expected blocks per day and a number of days, returning a bounded probability report.

Classifies whether a miner's at-least-one solo block probability falls within a specified numeric threshold range, given expected blocks per day and a time horizon.

Computes the weighted mean of at-least-one solo mining block probability across multiple (expected_blocks_per_day, days) scenarios using caller-supplied weights.

Performs coding research queries and returns answers with cited sources and references.

Checks whether a specified spend or payment amount meets defined criteria or thresholds via a verification oracle.