All Services

Filters alert triage records by a numeric interval on a chosen field and computes a weighted mean of a secondary measure, returning two analytical reports for up to 200 rows.

Cleans and normalises alert triage records by standardising strings and filling missing values for alert_count and confirmed_events fields using zero, mean, or median imputation.

Normalises strings and performs keyed dataset comparison across two sets of alert triage records (alert_count, confirmed_events) for up to 200 rows each.

Analyzes a text payload to detect capability-bearing patterns (e.g. network egress, process execution) and returns a structured verdict with capability counts

Computes a base-100 rebased index report for shelf packing capacity across up to 200 sets of shelf and item dimensions, normalizing all values relative to a chosen baseline record.

Computes benchmark correlation for aligned shelf packing capacity across up to 200 retail shelf/item dimension records, returning a bounded statistical correlation report.

Analyzes ordered trends across multiple shelf packing capacity records to identify directional patterns in how items fit on retail shelves over time.

Computes a rolling mean of shelf packing capacity values across a supplied series of shelf and item dimension records

Computes a waterfall attribution report showing how each dimension change (item and shelf size) sequentially contributes to the difference in shelf packing capacity between two configurations.

Classifies aligned shelf packing capacity figures as below, within, or above a user-defined lower/upper threshold range for up to 200 retail shelf configurations.

Computes a weighted mean of aligned shelf packing capacity across multiple shelf/item dimension records in a single bounded report.

Fetches or generates a cat image based on a text query, returning image data via a unified micro-payment API platform.

Returns OHLC (open, high, low, close) candlestick price data for stocks or crypto assets via a unified query interface at $0.01 per call.

Looks up decentralized exchange (DEX) trading pair data for a given token or pair query

Retrieves current or historical interest rate data (central bank rates, benchmark rates, yield curves) based on a natural language query.

Returns unemployment data and statistics in response to a natural language query, priced at $0.01 per call via x402 micropayment.

Returns OHLC (Open, High, Low, Close) price data for a given asset via a natural language query, priced at $0.01 per call.

Searches and retrieves clinical trial data based on a natural language or structured query.

Returns current or historical inflation data based on a natural language or structured query, for $0.01 per call.

Searches for drug/medication information by query string and returns structured pharmaceutical data

Returns current or historical interest rate data based on a natural language query, for $0.01 per call.

Provides cryptocurrency data and analytics via a unified low-cost query interface at $0.01 per call

Retrieves NFT data and metadata based on a natural language or structured query via a unified micro-payment API

Validates whether alloy measurement values fall within caller-supplied quantity/unit bounds within a declared dataset/subject/run/method/revision frame, treating null and censored values as unknown.

Checks one-to-one identifier aliases across typed alloy measurement pins to audit crosswalk consistency without certifying ownership or authenticity.

Separates true record insertions/deletions from shared-record reordering in alloy measurement datasets, preserving sequence integrity without conflating order changes with content changes.

Audits the collection, processing, and export timestamp ordering of alloy measurement records against a caller-defined maximum age threshold.

Checks whether quantity/unit labels are compatible and non-conflicting within the same dataset/subject/run/method/revision/quantity frame for alloy measurement records, without performing numerical conversion.

Analyzes macroeconomic context using AI to deliver stock intelligence, sentiment scoring, and market insights relevant to portfolio and investment decisions

Analyzes macroeconomic context using AI to produce stock-relevant macro intelligence and insights

Analyzes macroeconomic context and market conditions using AI to deliver macro-level stock intelligence insights

Searches across AI-powered stock analysis, technical indicators, sentiment scoring, and portfolio risk data using a natural language or ticker query

Returns AI-powered macroeconomic analysis and context relevant to stock market and portfolio decisions

Provides AI-powered macroeconomic analysis and context for stock market intelligence given a natural language query

Searches and retrieves AI-powered stock analysis, technical indicators, sentiment scores, and portfolio risk data via a natural language query

Retrieves a specific alpha intelligence report by ID from the Alpha Marketplace, returning its title, content, creator, and price

Purchase a custom on-chain data research report, with resale rights, generated from blockchain data

Returns the live AltSpider floor state as a spectator view — a real-time snapshot of the current spider/battle arena floor.

Returns a live price feed for the AMAN native coin derived from on-chain AMM reserves on the AmanChain quantum-resistant blockchain

Retrieves the on-chain roster of registered agents from the AmanChain network, executed deterministically against live consensus state.

Processes a payment receipt on the AmanChain quantum-resistant blockchain using ML-DSA-87 post-quantum signatures

Generates a downloadable PDF invoice for transactions or services on the AmanChain quantum-resistant blockchain platform

Analyzes animation budget records (bone_count, frame_ms) to produce category frequency distributions and a Base-100 indexed time series for a chosen metric.

Analyzes supplied animation budget records (bone_count, frame_ms) to produce a duplicate key report and an equal-width histogram for a chosen numeric field, across up to 200 rows.

Analyzes up to 200 animation budget records to produce a duplicate key report and fill missing values in bone_count or frame_ms using zero, mean, or median imputation.

Filters animation budget records (bone_count or frame_ms) by a numeric interval and computes a secondary-measure weighted mean, producing two analytical reports from supplied data.

Runs three analytical reports on animation budget data (bone_count, frame_ms): a record quality audit, exact row deduplication, and daily sum time series, all processed locally on up to 200 supplied rows.

Runs three local analytical reports on animation budget records (bone_count, frame_ms): a data quality audit, exact row deduplication, and a numeric interval filter — all in a single $0.01 USDC call for up to 200 rows.

Runs three local analytical reports on animation budget records: a record quality audit, exact row deduplication, and numeric ordering by bone_count or frame_ms fields.

Runs three local analytical reports on animation budget data (bone_count, frame_ms): record quality audit, string normalisation, and grouped numeric summary — up to 200 rows, no external lookups.

Normalises string fields and filters animation budget records (bone_count, frame_ms) by a numeric interval, producing 2 analytical reports for up to 200 rows.

Runs two analytical reports on animation clip data: adjacent row change analysis and a date-by-category pivot, for up to 200 rows of frame_count or duration_seconds metrics.

Analyzes animation clip records (frame_count, duration_seconds) to compute adjacent row changes and fill missing values using zero, mean, or median methods, returning two analytical reports for up to 200 rows.

Analyzes animation clip records (frame_count, duration_seconds) to produce two reports: adjacent row change detection and keyed dataset comparison against a second dataset.

Computes a Base-100 index series and a keyed dataset comparison for animation clip metrics (frame_count or duration_seconds) across up to 200 rows, returning two analytical reports.

Computes a Base-100 index series and a two-measure Pearson correlation for supplied animation clip records (frame_count, duration_seconds) across up to 200 rows.

Computes category frequency distributions and Base-100 indexed time series for animation clip records (frame_count or duration_seconds) across up to 200 rows in two independent analytical reports.

Computes category frequencies for animation clip asset groups and fills missing numeric values (frame_count or duration_seconds) using zero, mean, or median imputation — two analytical reports in one call for up to 200 rows.

Analyzes animation clip records (frame_count, duration_seconds) to produce category frequency distributions and a keyed side-by-side dataset comparison across up to 200 rows.

Analyzes animation clip records to produce category frequency counts by asset group and numeric row ordering for frame_count or duration_seconds fields, returning two analytical reports for up to 200 rows.

Computes a daily sum time series and fills missing values (zero, mean, or median) for up to 200 animation clip records across frame_count or duration_seconds fields.

Computes a daily sum time series and a two-measure correlation report for animation clip data (frame_count and duration_seconds) on up to 200 supplied rows.

Runs two analytical reports on animation clip records: a date-by-category pivot table and a keyed dataset comparison, for up to 200 rows.

Analyzes animation clip records to produce a duplicate key report and a base-100 indexed series for frame_count or duration_seconds fields, covering up to 200 rows.

Analyzes up to 200 animation clip records to produce two independent reports: a duplicate key report and category frequency counts across asset groups and dates.

Runs two local analytical reports on supplied animation clip records: a duplicate key report and a daily sum series for frame_count or duration_seconds.

Analyzes supplied animation clip records to produce a duplicate key report and a date-by-category pivot table for frame_count or duration_seconds, covering up to 200 rows.

Analyzes supplied animation clip records to produce a duplicate key report and an equal-width histogram for frame_count or duration_seconds fields, using local analytical engines with no external lookups.

Detects duplicate keys and fills missing values in animation clip records (frame_count, duration_seconds) for up to 200 rows, returning two analytical reports.

Analyzes up to 200 animation clip records to produce a duplicate key report and a numeric distribution summary for frame_count or duration_seconds fields.

Analyzes up to 200 animation clip records to produce a duplicate key report and a numeric row ordering report for frame_count or duration_seconds fields.

Analyzes up to 200 animation clip records to produce a duplicate key report and a trailing mean time series for frame_count or duration_seconds fields.

Runs a duplicate key report and a two-measure Pearson/Spearman correlation analysis on supplied animation clip records (frame_count, duration_seconds) for up to 200 rows.

Computes an equal-width histogram and a secondary-measure weighted mean for up to 200 animation clip records (frame_count, duration_seconds), returning two analytical reports.

Generates an equal-width histogram and a two-measure Pearson/Spearman correlation report for animation clip records (frame_count and duration_seconds) from up to 200 supplied rows.

Performs exact row deduplication and adjacent row change analysis on animation clip records (frame_count, duration_seconds) for up to 200 rows.

Deduplicates animation clip records and generates a Base-100 indexed series for frame_count or duration_seconds metrics across up to 200 rows.

Deduplicates animation clip records and computes category-level frequency counts for up to 200 rows of animation clip data (frame_count, duration_seconds).

Deduplicates animation clip records by exact row match and computes daily sum time series for frame_count or duration_seconds fields across up to 200 rows.

Deduplicates animation clip records and generates an equal-width histogram over frame_count or duration_seconds fields for up to 200 rows.

Deduplicates animation clip records exactly and flags IQR-based outliers for frame_count or duration_seconds fields across up to 200 rows.

Deduplicates animation clip records by exact row matching and computes numeric distribution statistics for frame_count or duration_seconds fields across up to 200 rows.

Deduplicates animation clip records exactly by row and filters them by a numeric interval on frame_count or duration_seconds, returning two analytical reports for up to 200 rows.

Deduplicates animation clip rows and computes a secondary-measure weighted mean for frame_count or duration_seconds across up to 200 supplied records.

Deduplicates animation clip records and computes a trailing mean time-series for frame_count or duration_seconds fields across up to 200 rows.

Deduplicates animation clip records and computes two-measure correlation between frame_count and duration_seconds for up to 200 rows, returning two analytical reports.

Produces two local analytical reports for animation clip records: a grouped numeric summary and a date-by-category pivot, covering frame_count or duration_seconds across up to 200 rows.

Computes grouped numeric summary statistics and fills missing values for supplied animation clip records (frame_count, duration_seconds) across up to 200 rows.

Computes grouped numeric summary statistics and IQR-based outlier flags for animation clip data (frame_count, duration_seconds) across asset groups, returning up to 2 reports for up to 200 rows.

Computes grouped numeric summaries and performs keyed dataset comparisons for animation clip records (frame_count, duration_seconds) across up to 200 rows in two independent reports.

Computes grouped numeric summary statistics and numeric row ordering for animation clip records (frame_count, duration_seconds) across up to 200 rows, returning two analytical reports.

Computes a grouped numeric summary and a Pearson/rank correlation between frame_count and duration_seconds for up to 200 animation clip records, grouped by asset_group.

Runs two local analytical reports on animation clip data — IQR-based outlier detection and a date-by-category pivot — for up to 200 supplied rows of frame_count or duration_seconds values.

Computes IQR-based outlier flags and secondary-measure weighted mean for animation clip records (frame_count, duration_seconds) across up to 200 rows, returning two analytical reports.

Compares two keyed animation-clip datasets (frame_count or duration_seconds) and fills explicit missing values, returning 2 analytical reports for up to 200 rows.

Computes numeric distribution statistics and a base-100 indexed series for frame_count or duration_seconds across supplied animation clip records (up to 200 rows).

Computes numeric distribution statistics and category frequency counts for animation clip records (frame_count, duration_seconds) from up to 200 supplied rows.

Computes a numeric distribution report and a date-by-category pivot table for animation clip data (frame_count and duration_seconds) across up to 200 supplied rows.

Computes a numeric distribution report and a trailing mean time series for animation clip metrics (frame_count or duration_seconds) over up to 200 supplied records.

Filters animation clip records by a numeric range on frame_count or duration_seconds, and computes adjacent-row changes; returns 2 analytical reports for up to 200 rows.