All Services

Retrieves recent academic publications on knowledge graph construction using Crossref publisher metadata, returning DOI references and source attribution.

Returns Crossref-sourced research funder metadata—DOI references and source attribution—for academic papers related to a query topic, supporting knowledge graph construction around funding evidence.

Returns structured citation records and DOI references for academic literature on knowledge graph construction, sourced from Crossref publisher metadata.

Computes a fixed-holdout learning curve for a knowledge-topic text classifier (setup/usage/troubleshooting/reference) using a naive-Bayes baseline on up to 200 labelled records.

Runs a grouped three-fold cross-validation using a naive-Bayes classifier on up to 200 labelled knowledge-topic text records (setup, usage, troubleshooting, reference) and returns baseline accuracy metrics.

Audits classifier labels and predictions for knowledge-topic text records (setup, usage, troubleshooting, reference) using local naive-Bayes evaluation tools.

Analyzes a labeled dataset of knowledge-base text records and returns the distribution of labels (setup, usage, troubleshooting, reference) across up to 200 documents.

Accepts up to 200 labelled text records with knowledge-topic categories and returns a formatted JSONL file for local ML evaluation and naive-Bayes baseline training.

Identifies and queues low-confidence predictions from a naive-Bayes knowledge topic classifier (setup/usage/troubleshooting/reference) for human review, returning evaluation metrics and borderline cases.

Computes macro, micro, and weighted precision/recall/F1 scores for a knowledge-topic text classifier across four categories: setup, usage, troubleshooting, and reference.

Computes the multiclass Brier score for a set of labeled text records classified into knowledge topic categories (setup, usage, troubleshooting, reference)

Evaluates a supplied set of up to 200 labelled text records for knowledge-topic classification (setup/usage/troubleshooting/reference), broken down by user-defined groups, using local naive-Bayes baselines.

Generates a taxonomy prompt template for classifying knowledge topic documents into setup, usage, troubleshooting, or reference categories using up to 200 labelled text records.

Computes top-k label coverage metrics for a knowledge topic classifier given up to 200 labelled text records with predicted probabilities.

Returns the fixed-version boundaries from OSV security advisories for a given version of the npm package 'koa'.

Returns a breakdown of OSV security advisory severities (critical, high, medium, low) for a given version of the npm package 'koa'.

Retrieves npm registry install lifecycle hook metadata for the koa package, supporting integration and upgrade planning.

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

Returns published artifact integrity metadata (checksums, signatures, registry info) for the koa npm package to support integration and upgrade planning.

Returns runtime and platform compatibility constraints for the koa npm package, including Node.js version requirements and integration metadata for upgrade planning.

Validates cryptocurrency wallet addresses for correctness and format compliance

Downloads media (video/audio) from YouTube given a URL or video identifier

Retrieves the total portfolio balance and token holdings for a given Solana wallet address

Downloads and scrapes Instagram media content including Reels, IGTV videos, posts, and Stories, returning media URLs and metadata

Fetches live and historical stock market data from Indian exchanges including NSE, BSE, MCX, and derivative segments

Provides sports data and odds information from TheRundown API, proxied through Komo.ai's x402 pay-per-call marketplace on Base chain

Returns AI-generated football match predictions for today's fixtures

Detects and surfaces newly launched or trending memecoins on the Raydium DEX on Solana in real time

Returns scheduled economic events, indicators, and releases for financial market participants via a pay-per-call economic calendar feed

Checks the Domain Authority (DA) and Page Authority (PA) metrics for a given domain

Scans a Solana token for risk factors and returns a risk assessment to help identify potentially dangerous or fraudulent tokens

Scrapes and retrieves public data from LinkedIn profiles, companies, or job listings

Fetches current weather data and forecasts for a given location using Yahoo Weather data

Scrapes TikTok data (posts, profiles, videos, trends) quickly and reliably via a pay-per-call API

Returns cross-chain bridge volume data and DeFi intelligence metrics for the Base blockchain

Returns safety and risk intelligence data for DeFi protocols on the Base blockchain

Returns recent token launch data on the Base blockchain as part of a pay-per-call DeFi intelligence feed

Retrieves current DeFi lending rates and related intelligence data on the Base blockchain

Submits feedback messages (bug reports, suggestions, general inquiries, symbol requests, or hellos) to the Kronos market-intelligence platform via x402 micropayment.

Searches live public web pages for Kubernetes cost control information specifically relevant to agent builders, returning source links and snippets.

Searches live public web pages about Kubernetes cost control topics tailored for analyst audiences, returning source links and text snippets.

Searches live public web pages for Kubernetes cost control content targeted at developers, returning source links and snippets.

Searches live public web pages for Kubernetes cost control information targeted at operations teams, returning source links and snippets.

Searches live public web pages about Kubernetes cost control topics tailored for technology buyers, returning source links and snippets.

Runs two analytical reports on label review data: row-over-row change detection and a date-by-category pivot, for up to 200 supplied rows.

Computes two analytical reports — adjacent row changes and an equal-width histogram — on label review data (reviewed_records or changed_labels) for up to 200 rows.

Runs two analytical reports on label review data: detects adjacent row changes and performs a keyed dataset comparison, for up to 200 rows per call.

Computes a base-100 index series and fills missing values (zero/mean/median) for label review records, returning two analytical reports for up to 200 rows.

Computes category frequency distributions and a base-100 indexed series for label review data (reviewed_records and changed_labels) across up to 200 rows, returning two local analytical reports.

Computes two analytical reports (category frequencies and daily sum series) over supplied label review records, covering reviewed_records or changed_labels fields, for up to 200 rows.

Computes category frequency distribution and an equal-width histogram for label review records (reviewed_records or changed_labels) across up to 200 rows in a single call.

Computes category-level frequency distributions and IQR-based outlier flags for label review records (reviewed_records and changed_labels) on up to 200 supplied rows.

Computes category frequency distributions and a two-measure correlation between reviewed_records and changed_labels for up to 200 label review rows, returning two independent analytical reports.

Generates two analytical reports — a daily sum series and a base-100 indexed series — from supplied label review data (reviewed_records and changed_labels) for up to 200 rows.

Generates two local analytical reports — a daily sum time series and an equal-width histogram — for label review data (reviewed_records or changed_labels) across up to 200 rows.

Computes a daily sum time series and fills missing values using a chosen strategy (zero, mean, or median) for label review records containing reviewed_records and changed_labels fields.

Computes daily sum time series and IQR-based outlier flags for label review data (reviewed_records or changed_labels) across up to 200 rows, returning two independent analytical reports.

Computes a daily sum time series and a secondary-measure weighted mean from supplied label review records (reviewed_records, changed_labels) for up to 200 rows.

Computes a daily sum time series and a trailing moving average series for label review metrics (reviewed_records or changed_labels) from up to 200 supplied rows.

Generates two analytical reports from label review data: a date-by-category pivot table and an explicit missing-value fill, for up to 200 rows of reviewed_records and changed_labels data.

Runs two local analytical reports on supplied label review data: a duplicate key report and adjacent row change detection, for up to 200 rows.

Generates a duplicate key report and a base-100 index series from supplied label review records (reviewed_records and changed_labels) — up to 200 rows, no external lookups.

Generates two analytical reports — a duplicate key report and category frequency summary — from supplied label review records, covering up to 200 rows.

Runs two local analytical reports on label review data: a duplicate key report and a daily sum series for reviewed_records or changed_labels, up to 200 rows.

Analyzes label review records to produce two reports: a duplicate key detection report and a date-by-category pivot table, for up to 200 rows of supplied data.

Runs two local analytical reports on label review data: a duplicate key report and an equal-width histogram for reviewed_records or changed_labels, up to 200 rows.

Analyzes label review records to produce a duplicate key report and a grouped numeric summary for reviewed_records or changed_labels fields, covering up to 200 rows in one call.

Runs two analytical reports on label review data: a duplicate key report and IQR-based outlier detection on reviewed_records or changed_labels, for up to 200 rows.

Runs two analytical reports on label review data: a duplicate key detection report and a keyed comparison between two datasets, for up to 200 rows each.

Analyzes label review records to produce a duplicate key report and numeric distribution summary for up to 200 rows of reviewed_records or changed_labels data.

Runs two local analytical reports on label review data: a duplicate key detection report and a numeric interval filter on reviewed_records or changed_labels, for up to 200 rows.

Analyzes label review records to produce a duplicate key report and a two-measure correlation analysis between reviewed_records and changed_labels for up to 200 rows.

Generates two analytical reports—an equal-width histogram and a keyed dataset comparison—for label review records tracking reviewed_records and changed_labels, for up to 200 rows.

Runs two local analytical reports on label review data: exact row deduplication and adjacent row changes detection, for up to 200 rows per call.

Runs two local analytical reports on label review data: exact row deduplication and category frequency analysis for reviewed_records and changed_labels fields across up to 200 rows.

Deduplicates exact rows and computes daily sum time series for label review records (reviewed_records, changed_labels) across up to 200 rows in two independent reports.

Deduplicates exact rows and produces a date-by-category pivot table from supplied label review records (reviewed_records, changed_labels) in a single call returning two reports.

Performs exact row deduplication and duplicate key detection on label review records (reviewed_records, changed_labels), returning two independent analytical reports for up to 200 rows.

Deduplicates exact rows and flags IQR-based outliers in label review records containing reviewed_records and changed_labels fields, producing two independent analytical reports.

Deduplicates label review rows and filters them by a numeric interval, returning two independent analytical reports for up to 200 records.

Runs two analytical reports on label review data: exact row deduplication and a trailing mean time series, for up to 200 rows of reviewed_records or changed_labels data.

Deduplicates exact duplicate rows and computes correlation between reviewed_records and changed_labels metrics for up to 200 label review records.

Produces two analytical reports for label review data: a grouped numeric summary by dataset group and an adjacent row change series for reviewed_records or changed_labels fields, processing up to 200 rows locally.

Generates two analytical reports from label review data: a grouped numeric summary and a base-100 indexed time series for reviewed_records or changed_labels, across up to 200 rows.

Computes a grouped numeric summary and an equal-width histogram for label review data (reviewed_records and changed_labels) across up to 200 rows.

Produces two analytical reports for label review data: a grouped numeric summary by dataset group and an explicit missing-value fill for reviewed_records or changed_labels fields, processing up to 200 rows locally.

Generates two offline analytical reports — a grouped numeric summary and a trailing mean series — for label review data containing reviewed_records and changed_labels fields.

Computes a grouped numeric summary and a two-measure Pearson/rank correlation between reviewed_records and changed_labels for supplied label review data, returning two independent analytical reports for up to 200 rows.

Analyzes label review records to detect IQR-based outliers and produce a date-by-category pivot table, returning two independent analytical reports for up to 200 rows.

Analyzes label review records (reviewed_records, changed_labels) to flag IQR-based outliers and fill missing values using a chosen imputation method, returning two analytical reports.

Runs two analytical reports on label review data: IQR-based outlier detection and a keyed comparison between two datasets, for up to 200 rows.

Runs IQR-based outlier detection and two-measure Pearson/rank correlation analysis on label review records (reviewed_records and changed_labels) for up to 200 rows, returning two independent analytical reports.

Computes a numeric distribution report and a base-100 index series for label review data (reviewed_records and changed_labels), returning two analytical reports for up to 200 rows.

Computes numeric distribution statistics and category frequency counts for label review records (reviewed_records and changed_labels) across up to 200 supplied rows.

Computes a numeric distribution report and a daily sum time series for label review data (reviewed_records and changed_labels) from up to 200 supplied rows.

Runs two local analytical reports on label review data: a numeric distribution of reviewed_records or changed_labels, and a date-by-category pivot grouped by dataset_group.

Computes numeric distribution statistics and performs a keyed dataset comparison for label review records (reviewed_records, changed_labels) across up to 200 rows, returning two independent analytical reports.

Computes numeric distribution statistics and a trailing mean time series for label review data (reviewed_records and changed_labels) supplied by the caller, up to 200 rows.

Applies a numeric interval filter and detects adjacent row changes on label review data (reviewed_records, changed_labels) for up to 200 rows, returning 2 analytical reports.

Analyzes label review records by filtering rows within a numeric interval and computing a base-100 indexed series for reviewed_records or changed_labels, returning two reports for up to 200 rows.