All Services

Performs numeric row ordering and keyed dataset comparison on thesis milestone records (completed_milestones, planned_milestones) for up to 200 rows, producing 2 independent analytical reports.

Sorts thesis milestone records by numeric value and filters rows within a specified numeric range, producing up to 2 analytical reports from supplied data.

Runs a data quality audit and Base-100 index rebase on up to 200 rows of thesis milestone records (completed and planned milestones), returning two independent analytical reports.

Runs three analytical reports on thesis milestone records: record quality audit, exact row deduplication, and base-100 index series — all locally, with no external lookups.

Runs three local analytical reports on thesis milestone records: record quality audit, exact row deduplication, and equal-width histogram — no external lookups or predictions.

Runs a record quality audit and a two-measure correlation analysis on up to 200 rows of thesis milestone data (completed_milestones, planned_milestones), returning two independent analytical reports.

Analyzes thesis milestone records by normalizing strings and computing category frequencies across completed and planned milestones for up to 200 rows.

Performs string normalisation and daily sum series analysis on up to 200 thesis milestone records (completed and planned milestones), returning two analytical reports.

Runs two analytical reports on thesis milestone data: string normalisation and a date-by-category pivot for completed and planned milestones across course groups.

Normalises text fields and removes exact duplicate rows from thesis milestone records (completed_milestones, planned_milestones) for up to 200 rows, returning two analytical reports.

Normalises string fields and applies numeric row ordering to thesis milestone records (completed_milestones, planned_milestones), producing two analytical reports from user-supplied data.

Performs string normalisation and secondary-measure weighted mean analysis on thesis milestone records (completed_milestones, planned_milestones) for up to 200 rows, producing 2 independent analytical reports.

Performs string normalisation and two-measure correlation analysis on thesis milestone records (completed and planned milestones) for up to 200 rows, returning two independent analytical reports.

Computes trailing mean time series and fills missing values in thesis milestone records (completed and planned milestones) for up to 200 rows.

Runs two local analytical reports on thesis milestone data: a correlation between completed and planned milestones, and a date-by-category pivot table, for up to 200 rows.

Computes correlation between completed and planned thesis milestones and fills missing values using a chosen method, across up to 200 submitted rows.

Computes Pearson/rank correlation between completed and planned thesis milestones and a weighted mean of a secondary measure, across up to 200 supplied rows, returning two analytical reports.

Returns commodity futures market data including prices, contracts, and related market information via a pay-per-call x402 USDC endpoint.

Retrieves government voting records and legislative vote data, payable per-call with USDC on Base via x402.

Returns an accuracy or calibration score for Polymarket prediction market forecasts or participants

Retrieves blockchain block intelligence data for a given block identifier, payable in USDC on Base mainnet via x402 protocol

Calculates chromatic dispersion properties for optical or material systems given input parameters

Retrieves balance sheet financial data for a company via the IntuiTek x402 Intelligence Marketplace, payable in USDC on Base mainnet with no account required.

Returns current market regime classification and intelligence signals to identify bull, bear, or sideways market conditions

Estimates blockchain gas costs for transactions, payable per-call in USDC on Base mainnet with no API key required.

Returns a concise housing market intelligence brief, payable per-call in USDC on Base mainnet via x402, with no API keys required.

Returns data on currently active yield farming positions across DeFi protocols

Returns solar energy or solar activity intelligence data, payable per-call with USDC on Base via x402, no API keys required.

Returns real-time pulse/health metrics for blockchain networks, such as transaction throughput, block times, gas prices, or congestion signals.

Returns momentum-based signals and analytics for cryptocurrency assets via a pay-per-call x402 endpoint on Base mainnet.

Retrieves systems-theory-based analytical insights and data about Bitcoin (BTC) as a complex adaptive system

Delivers a concise macro-economic or market intelligence brief, paid per-call in USDC on Base via x402, no API keys required.

Returns data about classic novels via a pay-per-call x402 USDC micropayment API, no account or API key required.

Retrieves database performance intelligence data including metrics, diagnostics, or optimization insights for a given database context, payable in USDC via x402.

Returns a concise technology brief or summary on a specified topic, delivered as a paid AI-callable data service via x402/USDC on Base mainnet.

Returns a concise AI-readable earnings summary or financial brief for a given set of properties or assets, payable in USDC via x402 on Base mainnet.

Delivers a combined weather and equity/market intelligence brief, payable per-call in USDC via x402 protocol with no account or API key required.

Generates a concise AI-compiled research automation brief on a given topic, delivered as a paid x402 USDC call with no API key required.

Retrieves podcast intelligence data (episode info, show metadata, trends, or analytics) for AI agents, paid per-call in USDC via x402 on Base mainnet.

Delivers AI-callable patent intelligence data for a one-time USDC micropayment on Base mainnet, with no account or API key required.

Returns AI-callable intelligence data about nonprofit organizations, paid per-call in USDC via x402 protocol on Base mainnet.

Retrieves App Store intelligence data for a given query, payable per-call in USDC via x402 with no API key required.

Returns a synthesized AI-generated weather research brief for a given location or topic, paid per-call with USDC via x402 on Base mainnet

Returns a synthesized intelligence brief comparing cryptocurrency and equity market conditions, trends, and signals for AI-driven financial analysis.

Returns vulnerability intelligence data for a given set of properties, payable per-call via USDC on Base mainnet with no API key required.

Returns a concise AI-ready briefing on bonds market data, yields, and fixed-income intelligence, payable per-call in USDC via x402.

Returns peer benchmarking data comparing an entity's performance metrics against relevant industry or cohort peers, payable via USDC on Base mainnet with no API key required.

Light a paid candle for the Glass Tortoise animal spirit with an optional sealed intention commitment, dedicating it to someone publicly or privately.

Analyzes third-party review records by computing category frequencies for control groups and numeric row ordering for vendors_reviewed and outstanding_actions fields, returning two analytical reports for up to 200 rows.

Pivots third-party review data by date and category, then fills missing values using a chosen method (zero, mean, or median) across vendors_reviewed and outstanding_actions fields.

Runs two local analytical reports on third-party review records: a duplicate key detection report and an adjacent-row change analysis for vendors_reviewed or outstanding_actions fields.

Deduplicates rows and computes category frequencies for third-party review records (vendors_reviewed, outstanding_actions) — two analytical reports for up to 200 rows.

Deduplicates rows and computes daily sum time series for third-party review records tracking vendors_reviewed and outstanding_actions metrics.

Deduplicates rows and generates equal-width histogram reports for third-party review records containing vendors_reviewed and outstanding_actions fields.

Deduplicates rows and filters by numeric interval across third-party vendor review records (vendors_reviewed, outstanding_actions), returning two analytical reports for up to 200 rows.

Deduplicates exact duplicate rows and computes a trailing mean time series for third-party review records containing vendors_reviewed and outstanding_actions metrics.

Analyzes up to 200 third-party review records to flag IQR-based outliers and perform a keyed dataset comparison across vendors_reviewed and outstanding_actions fields.

Computes numeric distribution statistics and filters records within a specified numeric interval for third-party review data (vendors_reviewed, outstanding_actions) across up to 200 rows.

Filters third-party review rows by a numeric range on a chosen field and pivots date-based review data by category group, returning two analytical reports for up to 200 rows.

Filters third-party review records (vendors_reviewed, outstanding_actions) to a numeric interval and fills missing values using zero, mean, or median imputation; returns up to 2 analytical reports for up to 200 rows.

Applies a numeric interval filter and keyed dataset comparison to supplied third-party reviews data (vendors_reviewed, outstanding_actions) across up to 200 rows, returning 2 independent analytical reports.

Applies numeric row ordering and base-100 index series analysis to supplied third-party review records (vendors_reviewed, outstanding_actions) for up to 200 rows across 2 reports.

Ranks third-party review records by a numeric field and compares two keyed datasets, delivering two analytical reports for up to 200 rows of vendors_reviewed and outstanding_actions data.

Audits data quality and normalises strings for third-party review records (vendors_reviewed, outstanding_actions) across up to 200 rows, producing two independent analytical reports.

Runs three local analytical reports on third-party review data: a record quality audit, string normalisation, and a daily sum time series, for up to 200 rows of vendors_reviewed and outstanding_actions data.

Runs three local analytical reports on third-party review records: record quality audit, string normalisation, and exact row deduplication for up to 200 rows of vendor review data.

Runs three local analytical reports on third-party review records: a record quality audit, string normalisation, and a numeric interval filter for vendors_reviewed or outstanding_actions fields.

Computes a secondary-measure weighted mean and fills missing values in third-party review datasets (vendors_reviewed, outstanding_actions) for up to 200 rows, producing 2 analytical reports.

Computes Pearson/Spearman correlation between vendors_reviewed and outstanding_actions, plus a weighted mean for a selected secondary measure, across up to 200 third-party review rows.

Returns a paid LLM-generated decision procedure brief for AI agents evaluating the scenario of three crypto funds backing an AI company that has no token and no chain

Returns a paid agent-facing decision procedure brief on evaluating crypto funds backing AI companies that have no token, no blockchain, and no stated roadmap for either

Returns editable source files for a top-down maze game built with Three.js box meshes and a WebGL renderer, using the balanced-11-d1 preset with configurable title, seed, and accent color.

Returns editable source files for a top-down WebGL maze game built with Three.js, pre-configured with the 'balanced-11-d3' preset and customizable title, seed, and accent color.

Generates editable source files for a top-down maze game built with Three.js box meshes and a WebGL renderer, using the balanced-15-d1 preset with configurable title, seed, and accent color.

Returns editable source files for a top-down maze game built with Three.js box meshes and a WebGL renderer, using the balanced-15-d2 preset with configurable title, seed, and accent color.

Returns editable Three.js WebGL source files for a top-down maze game using the 'balanced-15-d3' preset, customizable via title, seed, and accent color.

Returns editable source files for a top-down maze game built with Three.js box meshes and a WebGL renderer, using the balanced-15-d4 preset, configurable by title, seed, and accent color.

Generates editable Three.js WebGL top-down maze game source files using the balanced-19-d1 preset, with configurable title, seed, and accent color.

Returns editable Three.js WebGL source files for a top-down maze game using the balanced-19-d3 preset, configurable by title, seed, and accent color.

Generates editable Three.js WebGL source files for a top-down maze game using the balanced-19-d4 preset, configurable by seed, title, and accent color.

Returns editable Three.js WebGL source files for a top-down maze game using the balanced-23-d1 preset, configurable with a custom title, seed, and accent color.

Generates editable top-down maze game source files using Three.js box meshes and a WebGL renderer, with the 'balanced-23-d2' preset and configurable title, seed, and accent color.

Returns editable Three.js WebGL source files for a top-down maze game using the balanced-23-d3 preset, with configurable title, seed, and accent color.

Returns editable source files for a top-down Three.js WebGL maze game using the balanced-23-d4 preset, with configurable title, seed, and accent color.

Generates and delivers editable source files for a top-down maze game built with Three.js box meshes and a WebGL renderer, using the balanced-27-d1 preset with configurable title, seed, and accent color.

Returns editable source files for a top-down Three.js WebGL maze game with the balanced-27-d2 preset, configurable title, seed, and accent color.

Returns editable source files for a top-down Three.js WebGL maze game configured with the balanced-27-d3 preset, a custom title, seed, and accent color.

Generates editable Three.js/WebGL top-down maze game source files using preset balanced-27-d4 with configurable title, seed, and accent color.

Generates editable source files for a top-down maze game using Three.js box meshes and a WebGL renderer, based on the braided-11-d1 preset with configurable title, seed, and accent color.

Generates editable source files for a top-down braided maze game using Three.js box meshes and a WebGL renderer, customizable by title, seed, and accent color.

Returns editable Three.js WebGL source files for a top-down braided maze game with configurable title, seed, and accent color (preset braided-15-d2).

Returns editable Three.js WebGL source files for a top-down braided maze game with preset braided-15-d3, configurable title, seed, and accent color.

Generates a customizable top-down maze game starter kit (Three.js + WebGL, braided-19-d1 preset) with editable source files for $0.01 USDC.

Returns editable source files for a top-down braided maze game built with Three.js box meshes and a WebGL renderer, customizable by seed, title, and accent color.

Generates editable source files for a top-down braided maze game built with Three.js box meshes and a WebGL renderer, customized by title, seed, and accent color.

Generates editable source files for a top-down maze game using Three.js box meshes and a WebGL renderer with the braided-23-d3 preset, configurable by title, seed, and accent color.

Generates an editable top-down maze game starter using Three.js box meshes and a WebGL renderer with the braided-27-d1 preset, configurable title, seed, and accent color.

Returns editable source files for a top-down braided maze game built with Three.js box meshes and a WebGL renderer, configurable by seed, title, and accent color.

Returns editable source files for a top-down maze game built with Three.js box meshes and a WebGL renderer, using the braided-27-d3 preset with configurable title, seed, and accent color.

Returns editable source files for a top-down maze game built with Three.js box meshes and a WebGL renderer, pre-configured with the braided-27-d4 maze preset and customizable title, seed, and accent color.