All Services

Normalises string fields and orders rows numerically for company filing inventory records (available_filings, expected_filings) across up to 200 rows, producing 2 local analytical reports.

Deduplicates and numerically orders up to 200 rows of company headcount or open-roles observation records, returning two analytical reports.

Deduplicates company record completeness rows and computes a secondary-measure weighted mean for populated_fields or required_fields across up to 200 rows, returning 2 analytical reports.

Filters company record completeness rows by a numeric interval on one field and computes a weighted mean of a secondary measure, producing two analytical reports from supplied data.

Ranks company records by populated_fields or required_fields values and flags statistical outliers using IQR analysis, producing two analytical reports for up to 200 rows.

Ranks company completeness records by numeric ordering and computes a secondary-measure weighted mean across up to 200 rows, delivering two analytical reports in a single call.

Compares market intelligence data across multiple assets or instruments via a GET request

Computes a daily sum time series and adjacent row changes for up to 200 supplied competitor price records (list_price or package_quantity) using local analytical engines.

Computes a secondary-measure (package_quantity) weighted mean on competitor price records and performs a keyed comparison between two supplied datasets, returning two analytical reports for up to 200 rows.

Runs string normalisation and duplicate key detection on up to 200 competitor price records (list_price, package_quantity), returning two independent analytical reports.

Deduplicates rows and fills missing values in compositing graph records (node_count, render_seconds), returning 2 analytical reports for up to 200 rows.

Performs record quality audit and string normalisation on supplied compositing graph records (node_count, render_seconds) for up to 200 rows, returning 2 independent analytical reports.

Runs three analytical reports on compositing graph records: a data quality audit, string normalisation, and a secondary-measure weighted mean calculation.

Performs string normalisation and secondary-measure weighted mean analysis on compositing graph records (node_count, render_seconds) for up to 200 rows, returning 2 independent analytical reports.

Performs string normalisation and two-measure correlation analysis on compositing graph records (node_count, render_seconds) for up to 200 rows, returning two independent analytical reports.

Computes Pearson/rank correlation between node_count and render_seconds, and fills missing values using zero, mean, or median imputation, across up to 200 compositing graph records.

Computes two-measure correlation and secondary-measure weighted mean for compositing graph records (node_count, render_seconds) on up to 200 supplied rows, returning two independent analytical reports.

Unlocks and retrieves a single creator RWA (Real World Asset) intelligence signal summary from the Lounge, identified by signal ID

Analyzes configuration drift records by ordering rows numerically and computing correlation between checked_settings and drifted_settings across up to 200 rows.

Audits record quality and applies numeric row ordering to configuration drift data (checked_settings, drifted_settings) for up to 200 rows, returning 2 independent analytical reports.

Runs three local analytical reports on configuration drift data: record quality audit, string normalisation, and explicit missing-value fill for checked_settings and drifted_settings fields.

Computes category frequencies and numeric row ordering for contact record quality data (checked_records, duplicate_records) across up to 200 supplied rows, returning two independent analytical reports.

Analyzes contact record quality data (checked_records, duplicate_records) by computing category frequencies and a secondary-measure weighted mean across up to 200 rows in two independent reports.

Computes daily sum time series and a secondary-measure weighted mean for contact record quality metrics (checked_records, duplicate_records) over up to 200 supplied rows, returning two independent analytical reports.

Generates numeric row-ordering and base-100 index series for contact record quality metrics (checked_records, duplicate_records) across up to 200 supplied rows, producing 2 independent analytical reports.

Performs two local analytical reports on contact record quality data: numeric row ordering and daily sum series for checked_records or duplicate_records fields, across up to 200 rows.

Audits up to 200 contact record quality rows for data quality issues and computes a correlation report between checked_records and duplicate_records metrics.

Runs two local analytical reports on contact record quality data: string normalisation and a date-by-category pivot for checked_records and duplicate_records metrics across up to 200 rows.

Normalises string fields and flags IQR-based outliers in contact record quality data (checked_records, duplicate_records) for up to 200 rows, returning two independent analytical reports.

Normalises string fields and orders rows numerically for up to 200 contact record quality data rows, producing two independent reports on checked_records and duplicate_records.

Computes trailing moving-average time series and adjacent-row change analysis for contact record quality metrics (checked_records, duplicate_records) across up to 200 rows, returning two independent analytical reports.

Analyzes contact record quality data by computing correlation between checked_records and duplicate_records, and comparing two keyed datasets row-by-row, for up to 200 rows.

Runs two analytical reports (record quality audit and adjacent row changes) on up to 200 rows of content length observation data (word_count or heading_count) using local analytical engines.

Computes adjacent row-to-row changes and a secondary-measure weighted mean for contract milestone records (completed_items, planned_items) on up to 200 supplied rows.

Normalises string fields and applies numeric row ordering to contract milestone records (completed_items, planned_items) across up to 200 rows, producing 2 analytical reports.

Performs numeric row ordering and two-measure correlation analysis on up to 200 rows of contract renewal inventory data (expiring_contracts, renewed_contracts), returning two independent analytical reports.

Deduplicates controller sampling records by exact row match and generates a duplicate key report for up to 200 rows of input_latency_ms and sample_count data.

Analyzes controller sampling records (input_latency_ms, sample_count) by applying numeric row ordering and adjacent row change calculations across up to 200 rows, returning two analytical reports.

Audits controller sampling records for data quality issues and produces a numeric row ordering report for up to 200 rows of input_latency_ms and sample_count data.

Runs three analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 controller sampling rows containing input_latency_ms and sample_count fields.

Analyzes a public URL to extract geospatial AI evidence — location-linked data, signals, or geographic intelligence derived from web content

Fetches and returns the robots.txt content from a given URL via a pay-per-call HTTP utility service

Fetches and analyzes the technical SEO context of a given URL, returning structured metadata relevant for search engine optimization analysis.

Fetches and compares two public URLs to identify similarities, differences, or corroborating evidence between research proofs or documents

Extracts due diligence data from a vendor or merchant-related URL, returning structured information useful for vendor vetting workflows.

Fetches geographic and contextual AI-enriched metadata for a given public URL, returning location-aware contextual signals

Compares two public URLs by fetching and analyzing their web data, returning a structured diff or comparison result

Fetches a public URL via HTTP POST and extracts structured data from the response, returning it as an A2A-ready JSON payload.

Compares two public URLs to analyze and contrast their policy evidence or document content

Fetches and compares two public URLs side-by-side, returning a structured comparison of their content or procurement data

Fetches and returns the content/context of a given public URL via HTTP POST, paid per-call in USDC on Base

Audits pricing on a given public URL, analyzing merchant or product pricing for anomalies, competitiveness, or compliance issues

Performs a security and trust audit of a publicly accessible HTTP endpoint or URL, returning a structured assessment.

Performs automated due diligence decision-making on a vendor by fetching and analyzing data from a provided public URL, returning a structured decision outcome.

Fetches a public URL via HTTP POST and extracts structured content from it, returning the extracted data as JSON

Compares two public URLs for trust and security signals, returning a side-by-side security assessment

Fetches and prepares A2A-ready context from a given public URL, returning structured capability metadata for AI agent consumption

Extracts policy evidence and structured data from a publicly accessible URL, likely an insurance or compliance policy document

Provides access to X (Twitter) data and actions via a pay-per-call API on the Base blockchain using the x402 payment protocol

Downloads Instagram Stories content for a given user or story URL via a pay-per-call API.

Retrieves sports scores and related sports data via a pay-per-call API endpoint on Base chain

Fetches a feed of job listings via a pay-per-call API endpoint on the Coockies.ai hub.

Fetches comprehensive 360-degree Instagram profile intelligence including account data, posts, followers, and engagement metrics for a given Instagram user

Scrapes and retrieves social media profile and post data from public social platforms

Retrieves baseball statistics, scores, schedules, and related sports data feeds via a pay-per-call API on Base chain.

Fetches current Twitter/X trending topics for a specific regional segment (region 5) via a pay-per-call API

Fetches real-time data from the Lens Protocol decentralized social graph

Proxies Twitter/X social data requests via a pay-per-call API hub, returning structured social media data from Twitter/X.

Fetches YouTube video data, metadata, or related information via a pay-per-call API endpoint on Base chain

Returns a weather forecast for a given location via a pay-per-call API on the Base blockchain

Scrapes YouTube video or channel data and returns structured information via a pay-per-call API on the Base blockchain

Fetches or interacts with X.com (Twitter) social data via a pay-per-call API proxy on the Base blockchain

Analyzes up to 200 rows of coordinate quality check data (checked_points, flagged_points) producing two local analytical reports: adjacent row change detection and two-measure correlation.

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

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 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.

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 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 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.

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.

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

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

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.

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

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

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

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

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

Generates AI-powered price forecasts for cryptocurrencies

Retrieves trading pairs data for decentralized exchange (DEX) tokens

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

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

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

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.

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.

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