All Services

Generates two local analytical reports (category frequencies and date-by-category pivot) for coordinate quality check records containing checked_points and flagged_points fields.

Analyzes up to 200 rows of coordinate quality check data (checked_points, flagged_points) producing a duplicate key report and a two-measure correlation analysis using local analytical engines.

Runs two local analytical reports on coordinate quality check records: exact row deduplication and category frequency analysis for checked_points and flagged_points fields, up to 200 rows.

Runs two analytical reports on coordinate quality check records: exact row deduplication and a daily sum time series for checked_points or flagged_points fields, across up to 200 rows.

Runs two local analytical reports on coordinate quality check records: exact row deduplication and duplicate key detection, for up to 200 rows of checked_points and flagged_points data.

Computes a grouped numeric summary and a Base-100 index series for coordinate quality check records (checked_points, flagged_points) from up to 200 supplied rows.

Computes grouped numeric summaries and fills missing values (zero, mean, or median) for coordinate quality check records containing checked_points and flagged_points fields.

Computes grouped numeric summary statistics and a secondary-measure weighted mean for coordinate quality check records (checked_points, flagged_points) across up to 200 rows, returning two analytical reports.

Runs IQR-based outlier detection and two-measure correlation analysis on coordinate quality check records (checked_points, flagged_points) for up to 200 rows, returning two analytical reports.

Analyzes coordinate quality check records (checked_points, flagged_points) to produce numeric distribution statistics and category frequency reports for up to 200 rows.

Runs two local analytical reports on coordinate quality check data: filters rows by a numeric interval on checked_points or flagged_points, and detects adjacent row changes across up to 200 rows.

Runs two local analytical reports on coordinate quality check records: filters rows by a numeric interval on checked_points or flagged_points, and pivots date data by station group category.

Performs numeric row ordering and keyed dataset comparison analytics on two supplied coordinate quality check datasets (checked_points, flagged_points) for up to 200 rows each.

Runs two local analytical reports on coordinate quality check data: numeric row ordering and a trailing moving-average series for checked_points or flagged_points across up to 200 rows.

Runs two local analytical reports (record quality audit and adjacent row changes) on up to 200 rows of coordinate quality check data (checked_points, flagged_points)

Runs two analytical reports on coordinate quality check data: a record quality audit and a daily sum series, for up to 200 rows of checked/flagged point counts.

Runs two local analytical reports on coordinate quality check data: a per-row record quality audit and a date-by-category pivot, for up to 200 rows of checked/flagged point counts.

Runs two local analytical reports on coordinate quality check records: a record quality audit and a grouped numeric summary for checked_points or flagged_points, across up to 200 rows.

Runs two local analytical reports (record quality audit and secondary-measure weighted mean) on up to 200 rows of coordinate quality check data (checked_points, flagged_points).

Runs three local analytical reports (record quality audit, string normalisation, duplicate key detection) on up to 200 rows of coordinate quality check data containing checked_points and flagged_points fields.

Runs three local analytical reports (record quality audit, string normalisation, and equal-width histogram) on up to 200 rows of coordinate quality check data (checked_points, flagged_points).

Runs three local analytical reports (record quality audit, string normalisation, grouped numeric summary) on up to 200 rows of coordinate quality check data (checked_points, flagged_points).

Runs string normalisation and duplicate key detection on coordinate quality check records (checked_points, flagged_points) for up to 200 rows, returning two independent analytical reports.

Performs string normalisation and keyed dataset comparison on two supplied sets of coordinate quality check records (checked_points, flagged_points), producing 2 independent analytical reports for up to 200 rows.

Computes trailing mean time series and secondary-measure weighted mean analytics on supplied coordinate quality check records (checked_points, flagged_points) for up to 200 rows.

Computes adjacent row changes and secondary-measure weighted mean for copyediting throughput records (edited_words, editing_hours) across up to 200 rows, returning 2 analytical reports.

Audits data quality, deduplicates identical rows, and numerically orders records in a supplied copyediting throughput dataset (edited_words, editing_hours) — three analytical reports in one call.

Runs two local analytical reports — record quality audit and numeric row ordering — on up to 200 copyediting throughput rows containing edited_words and editing_hours fields.

Deduplicates exact rows and generates a Base-100 index series for correction log records (correction_count, published_items) — two analytical reports in one call for up to 200 rows.

Computes numeric distribution statistics and numeric row ordering for correction log data (correction_count, published_items) on up to 200 supplied rows, returning 2 independent analytical reports.

Normalises string fields and computes a secondary-measure weighted mean over up to 200 correction log records (correction_count, published_items).

Normalises string fields and computes a two-measure correlation between correction_count and published_items for up to 200 correction log rows, returning two analytical reports.

Fetches the current GSPC board state and verifies signed AI performance/measurement cards via the Council of AI's Eunomia data feed

Converts or looks up the exchange rate between two currencies via a pay-per-request API using USDC x402 payments.

Accepts a natural-language financial query and returns stock or financial data, paid per-request in USDC via x402.

Looks up the exchange rate between two currencies, payable per request in USDC via x402.

Runs three local analytical reports on crawl response observation data (status_code, response_ms): a record quality audit, exact row deduplication, and numeric row ordering — up to 200 rows per call.

Runs three analytical reports (record quality audit, string normalisation, and numeric row ordering) on up to 200 crawl response observation records containing status codes and response times.

Fetches the latest cryptocurrency news articles and updates via a paid API endpoint

Generates AI-powered price forecasts for cryptocurrencies

Returns statistical analysis of a text string, including word count, character count, sentence count, and related metrics

Performs an AI-powered web search and returns synthesized results for a given query

Retrieves portfolio data for a Solana wallet address, returning asset holdings and balances

Checks and analyzes a Solana smart contract or address for potential issues, risks, or metadata

Returns trending tokens or pairs on decentralized exchanges (DEX), likely including price movement, volume, and popularity metrics

Analyzes Pump.fun token data and provides AI-driven insights on memecoins and token launches

Proxies blockchain explorer queries via Blockscout through a paid AI-accessible endpoint

Retrieves trading pairs data for decentralized exchange (DEX) tokens

Computes category frequencies and numeric row ordering for up to 200 creative review records across feedback_count and approved_items fields, returning two analytical reports.

Deduplicates exact duplicate rows and generates a date-by-category pivot report for creative review records containing feedback counts and approved item metrics.

Deduplicates exact rows and filters creative review records by a numeric interval on feedback_count or approved_items, returning 2 analytical reports for up to 200 rows.

Deduplicates creative review records and computes a secondary-measure weighted mean for feedback_count or approved_items across up to 200 rows, returning 2 analytical reports.

Filters creative review records (feedback_count, approved_items) by a numeric interval and computes a secondary-measure weighted mean, returning two analytical reports for up to 200 supplied rows.

Sorts creative review records numerically and computes adjacent-row changes for feedback_count or approved_items across up to 200 rows, returning two analytical reports.

Computes numeric row ordering and a Base-100 index series for creative review records (feedback_count, approved_items) across up to 200 supplied rows, producing 2 analytical reports.

Runs two local analytical reports on creative review records: a record quality audit and an adjacent row changes analysis for feedback_count or approved_items fields, across up to 200 rows.

Runs a record quality audit and a two-measure correlation report on up to 200 rows of creative review data (feedback_count, approved_items) using local analytics — no external calls.

Performs string normalisation and daily sum series analysis on creative review records (feedback_count, approved_items) for up to 200 rows in two independent reports.

Normalises strings and fills missing values (zero/mean/median) for creative review records containing feedback_count and approved_items fields, returning two analytical reports for up to 200 rows.

Normalises string fields and filters creative review records by a numeric interval on feedback_count or approved_items, returning up to 2 analytical reports for up to 200 rows.

Checks whether a given string value ends with a specified suffix, returning a boolean-style result via a micropayment-gated API.

Checks whether a given value starts with a specified prefix, returning the boolean result via a paid x402 micro-transaction.

Formats or validates a value into the canonical shape of a Bearer authorization header string.

Parses HTML link relation attributes (rel values) from a given input, returning structured relationship metadata.

Determines the JSON type of an arbitrary value (string, number, boolean, array, object, null, etc.)

Generates a quoted ETag string from a given value, useful for HTTP cache validation headers and conditional request workflows.

Extracts key-value entry pairs from a JavaScript-style object, returning its enumerable own properties as an array of [key, value] tuples.

Sorts a list of numbers or strings in ascending or descending order, tailored for CRM workflow automation.

Retrieves the social graph connections and relationships for a specified blockchain user or address

Fetches live market intelligence data from the /api/v1/intelligence endpoint

Retrieves market intelligence events data, likely including trading signals, market events, or financial news relevant to trading integrations

Returns current blockchain network metadata including network name and observation timestamp for the Base chain

Retrieves blockchain transaction receipt data for a given transaction on the Base network

Generates an AI-produced research brief from a text prompt, paid per-call via x402 on Base mainnet

Publishes a bespoke HTML article to LinkDepot's curated web directory network, creating a verified business citation with a canonical backlink across up to 101 partner domains.

Computes two analytical reports for curriculum mapping data: numeric row ordering and daily sum series for mapped_outcomes or required_outcomes fields across up to 200 rows.

Audits record quality and applies numeric row ordering to curriculum mapping data (mapped_outcomes, required_outcomes) for up to 200 rows, returning two independent analytical reports.

Normalises strings and fills missing values in curriculum mapping records (mapped_outcomes, required_outcomes) for up to 200 rows, producing 2 analytical reports.

Normalises strings and orders rows numerically for curriculum mapping records containing mapped_outcomes and required_outcomes fields, producing two analytical reports for up to 200 rows.

Runs two local analytical reports on curriculum mapping data: string normalisation and trailing mean series for mapped_outcomes or required_outcomes fields across up to 200 rows.

Analyzes curriculum mapping records by normalizing strings and computing two-measure correlation between mapped_outcomes and required_outcomes across up to 200 rows, returning two independent analytical reports.

Normalises customer enquiry data and computes Base-100 index series for enquiry_count or resolution_minutes across up to 200 rows, returning two analytical reports.

Runs two local analytical reports (string normalisation and date-by-category pivot) on up to 200 rows of customer followup data (completed_followups, due_followups) for $0.01 USDC.

Applies string normalisation and numeric interval filtering to customer segment observation records (account_count, revenue_amount), producing 2 analytical reports for up to 200 rows.

Runs string normalisation and secondary-measure weighted mean analytics on up to 200 customer segment observation rows (account_count, revenue_amount) and returns 2 independent reports.

Performs string normalisation and two-measure correlation analysis (account_count vs revenue_amount) on up to 200 customer segment observation rows, returning two independent analytical reports.

Provides AI-powered cybersecurity advisory responses to security-related questions, paid per-call via x402 on Base or Solana.

Analyzes up to 200 damaged stock records to produce two local statistical reports: adjacent row changes and two-measure correlation for handled_units and damaged_units.

Deduplicates exact rows and computes a secondary-measure weighted mean across up to 200 damaged stock records (handled_units, damaged_units) in two bundled analytical reports.

Filters damaged stock records by a numeric interval and computes adjacent row changes for handled_units or damaged_units across up to 200 rows, returning two analytical reports.

Analyzes supplied damaged stock records to produce numeric row ordering and adjacent row change reports for up to 200 rows.

Sorts damaged stock records by row number and computes Pearson/rank correlation between handled_units and damaged_units across up to 200 supplied rows.

Normalises store-group strings and computes a Base-100 index series for up to 200 rows of damaged stock data (handled_units, damaged_units), returning two local analytical reports.

Normalises store/date strings and orders rows numerically for up to 200 damaged stock records (handled_units, damaged_units), producing 2 local analytical reports per call.

Normalises store/date strings and computes a secondary-measure weighted mean across up to 200 damaged-stock records (handled_units, damaged_units) in two bundled analytical reports.

Analyzes education data collection completeness by computing a Base-100 indexed series and a two-measure correlation report for up to 200 rows of observed vs. expected values.

Runs two local analytical reports on education data collection completeness records: exact row deduplication and numeric distribution analysis for observed vs. expected values, across up to 200 rows.

Audits data collection completeness records with record quality checks, string normalisation, and secondary-measure weighted mean across up to 200 rows in 3 independent reports.

Audits record quality and computes two-measure correlation for data collection completeness records containing observed vs. expected values, returning two independent analytical reports for up to 200 rows.

Normalises strings and sorts rows numerically for up to 200 data-collection completeness records, producing two analytical reports on observed vs. expected values.