All Services

Audits data quality and applies numeric row ordering to business event participation records (attendee_count, company_count) for up to 200 rows, returning two independent analytical reports.

Audits data quality, normalises strings, and filters by numeric interval for business event participation records (attendee_count, company_count) across up to 200 rows, producing 3 independent analytical reports.

Runs three local analytical reports (record quality audit, string normalisation, numeric row ordering) on up to 200 business event participation rows containing attendee and company counts.

Normalises company_group strings and detects adjacent row changes in attendee_count or company_count for business event participation data (up to 200 rows, 2 reports per call).

Returns synthesized business framework guidance on how market-branch pricing logic applies to companies in the $1M–$5M revenue band, including customer verdict as price ceiling and contract term distinctions.

Computes daily sum time series and adjacent row changes for business location inventory data (location_count, verified_locations) across up to 200 rows, returning two analytical reports.

Analyzes up to 200 rows of business location inventory records to produce a duplicate key report and a numeric distribution summary for location_count or verified_locations fields.

Analyzes up to 200 rows of business location inventory data to produce a duplicate key report and a numeric row ordering report for the fields location_count or verified_locations.

Deduplicates exact rows and applies numeric ordering to supplied business location inventory records (location_count, verified_locations), producing 2 analytical reports for up to 200 rows.

Computes a grouped numeric summary and a two-measure correlation report for supplied business location inventory records (location_count, verified_locations) across up to 200 rows.

Computes numeric row ordering and a secondary-measure weighted mean for up to 200 rows of business location inventory data (location_count, verified_locations) using local analytical engines.

Analyzes supplied business website inventory records to produce a grouped numeric summary and numeric row ordering for page_count or verified_pages fields, covering up to 200 rows in two bundled analytical reports.

Computes numeric row ordering and adjacent row changes for business website inventory records (page_count, verified_pages), returning two analytical reports for up to 200 rows.

Audits data quality and filters rows by numeric interval for business website inventory records containing page_count and verified_pages fields, producing two analytical reports for up to 200 rows.

Runs three local analytical reports on business website inventory records: record quality audit, string normalisation, and numeric row ordering for page_count and verified_pages fields.

Runs three local analytical reports (record quality audit, string normalisation, and secondary-measure weighted mean) on up to 200 rows of business website inventory data containing page_count and verified_pages fields.

Runs two analytical reports on supplied business website inventory records: a record quality audit and a trailing mean series for page_count or verified_pages, across up to 200 rows.

Normalises strings and removes exact duplicate rows from business website inventory records containing page_count and verified_pages fields, producing two analytical reports for up to 200 rows.

Pings (tests) an existing webhook subscription on the Karma.Domains expired domain service to verify it is active and reachable.

Analyzes up to 200 rows of cache telemetry data (hit_count, miss_count) producing two reports: a record quality audit and a Base-100 indexed series.

Runs two analytical reports on camera coverage data — adjacent row change detection and a date-by-category pivot — for up to 200 rows of shot_count or coverage_seconds data.

Computes category frequencies (by asset_group) and numeric row ordering for camera coverage records (shot_count or coverage_seconds) across up to 200 rows, returning 2 analytical reports.

Deduplicates camera coverage records by exact row matching and computes a secondary-measure weighted mean for shot_count or coverage_seconds across up to 200 rows.

Filters camera coverage records by a numeric interval on shot_count or coverage_seconds and produces a date-by-category pivot report from the supplied rows.

Applies numeric interval filtering and keyed dataset comparison to camera coverage records (shot_count, coverage_seconds) across up to 200 rows, returning 2 independent analytical reports.

Runs three local analytical reports on camera coverage data (shot_count, coverage_seconds): a record quality audit, exact row deduplication, and a trailing mean series, for up to 200 rows.

Audits camera coverage records (shot_count, coverage_seconds) for quality issues and filters rows by a numeric interval — two analytical reports for up to 200 rows.

Audits quality, normalises strings, and filters by numeric interval for up to 200 camera coverage records containing shot_count and coverage_seconds fields, returning 3 independent analytical reports.

Normalises camera coverage strings and computes Base-100 index series for shot_count or coverage_seconds across up to 200 camera coverage rows, delivering two analytical reports per call.

Normalises strings and computes category-level frequencies for camera coverage records (shot_count, coverage_seconds) across up to 200 rows, returning two analytical reports.

Normalises string fields and produces grouped numeric summaries for camera coverage records containing shot_count and coverage_seconds data, returning two analytical reports for up to 200 rows.

Reconciles up to 80 committee-aggregate or organizational campaign ledger entries against declared opening and closing balances to check consistency

Calculates the target gap for case-pack order rounding given a target quantity and case/required unit counts, returning a bounded report for retail supply planning.

Counts and inventories number tokens (numeric values, quantities, dates, measurements) within a case study document supplied as Markdown or plain text.

Verifies whether a given URL's page content supports an optional claim, returning cross-references and support assessment

Returns a safety verdict or risk assessment for a given crypto contract address

Discovers and lists registered AI agents in the ChainRay on-chain agent registry, filtered by blockchain network, with verifiable on-chain proofs

Predicts large whale wallet movements on a specified blockchain network using on-chain intelligence

Searches live public web pages for information about chargeback prevention tools relevant to agent builders, returning source links and snippets.

Lists available DeepSeek AI models accessible via the claw402 x402 payment gateway, paid with USDC per call

Executes a bounded prediction market discovery and action challenge via Clervo's outcome infrastructure for agents

Searches recent Google News RSS coverage of climate extremes events and returns publisher links and publication dates, targeted for developer audiences.

Searches the web for current cloud provider region service availability and status information, tailored for startup founders.

Scrapes a web URL and returns its content, as part of the CodeShot suite of code screenshot and web tools for AI agents

Returns an HTML lesson page explaining how to generate a crypto wallet address and understand its associated recovery phrase

Searches an index of 500+ MCP servers and A2A tools by capability query, returning compressed, firewall-filtered results via a single meta-router connection

Discovers and routes to MCP/A2A tools across 500+ indexed servers via a single connection, with token compression and prompt-injection firewall, specifically surfaced at the code-release security gate workflow endpoint.

Identifies and surfaces low-confidence predictions in a commerce intent classifier (browse/purchase/return/other) for up to 200 labelled text records, using local naive-Bayes baselines and evaluation tools.

Runs exact row deduplication and numeric distribution analysis on commercial proposal comparison data (quoted_amount, delivery_days) for up to 200 rows, returning two analytical reports.

Searches live public web pages for information about community facilities, returning source links and snippets tailored for analyst use cases.

Runs two local analytical reports on supplied company headcount data: identifies duplicate row keys and orders rows numerically, for up to 200 rows.

Audits supplied company record completeness data (populated_fields vs required_fields) with a quality audit report and a two-measure correlation analysis, returning two independent analytical reports for up to 200 rows.

Computes a two-measure Pearson correlation between populated_fields and required_fields plus a secondary-measure weighted mean for up to 200 company record completeness rows, returning two analytical reports.

Deduplicates and numerically orders up to 200 competitor supplied price records (list_price or package_quantity), returning two independent analytical reports.

Audits record quality, normalises strings, and fills missing values for up to 200 rows of competitor price data (list_price, package_quantity) across 3 independent analytical reports.

Normalises string fields and computes a Base-100 index series for up to 200 rows of competitor supplied price records (list_price, package_quantity).

Normalises string fields and sorts rows numerically for up to 200 competitor price records (list_price, package_quantity), returning two local analytical reports per call.

Runs two local analytical reports on competitor pricing data: a Pearson/Spearman correlation between list_price and package_quantity, plus a keyed row-by-row dataset comparison, for up to 200 supplied rows.

Computes a daily sum time series and a secondary-measure weighted mean for compositing graph records (node_count, render_seconds) from up to 200 supplied rows.

Runs two analytical reports on compositing graph records: identifies duplicate keys and filters rows by a numeric interval for node_count or render_seconds fields.

Filters compositing graph rows by a numeric interval on node_count or render_seconds, then fills missing values using zero, mean, or median imputation — returning two analytical reports for up to 200 rows.

Runs three local analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 compositing graph rows containing node count and render seconds data.

Runs three analytical reports on supplied compositing graph records: record quality audit, string normalisation, and correlation between node_count and render_seconds — all locally, no external calls.

Runs two analytical reports on compositing graph records: string normalisation and date-by-category pivot for node_count or render_seconds metrics, supporting up to 200 rows.

Cleans and deduplicates compositing graph records (node_count, render_seconds) by normalising strings and removing exact duplicate rows, returning two analytical reports.

Normalises strings and fills missing values for compositing graph records (node_count, render_seconds) across up to 200 rows, producing 2 analytical reports.

Normalises string fields and orders rows numerically for compositing graph records (node_count, render_seconds) across up to 200 rows, returning 2 independent analytical reports.

Sorts configuration drift records by row and fills missing numeric values using zero, mean, or median imputation for up to 200 rows across two fields.

Deduplicates exact rows and computes a secondary-measure weighted mean across up to 200 contact record quality data points, returning two analytical reports.

Analyzes contact record quality metrics (checked_records, duplicate_records) by computing numeric distributions and filling missing values using a chosen strategy (zero, mean, or median).

Runs a record quality audit and computes a secondary-measure weighted mean on up to 200 rows of contact record data (checked_records, duplicate_records) using local analytical engines.

Runs a record quality audit and trailing mean series analysis on contact record quality data (checked_records, duplicate_records) for up to 200 rows, returning two independent analytical reports.

Normalises strings and computes two-measure correlation analysis for contact record quality data (checked_records, duplicate_records) across up to 200 rows, producing two independent analytical reports.

Analyzes up to 200 rows of content length data (word_count, heading_count) by computing adjacent row changes and filling missing values using zero, mean, or median strategies.

Analyzes up to 200 rows of content length data (word_count, heading_count) to produce a duplicate key report and a numeric row ordering report using local analytical engines.

Manages and optimizes AI context windows by trimming, summarizing, or restructuring conversation history to fit within token limits

Extracts SEO technical evidence and signals from a given public URL for auditing and analysis

Fetches two public URLs and compares their content, returning a structured comparison result

Analyzes a given URL to provide SEO technical decision-making insights and recommendations

Fetches and extracts MCP-ready context from a given public URL, returning structured data suitable for AI agent and automation pipelines.

Fetches and compares two public URLs via HTTP POST, returning a structured diff or comparison result for AI agent workflows

Fetches and compares two public URLs, returning a structured diff or similarity analysis of their content

Extracts structured catalog data from a publicly accessible URL using a pay-per-call machine utility

Generates temporary/disposable Gmail-style email addresses via the Gmailnator service for inbox access without exposing real credentials

Predicts the age of a person from a given input (e.g., image or profile data) using AI

Fetches TikTok data quickly via a pay-per-call API on the Base blockchain using x402 micropayments

Sends a message to an AI chat endpoint and returns a generated response, billed per-call via x402 on Base chain

Computes adjacent row changes and a secondary-measure weighted mean for up to 200 correction log records, returning two analytical reports in a single call.

Converts and looks up exchange rates between two currencies, payable per-request in USDC via x402.

Converts between two currency codes and returns the current exchange rate

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

Generates AI-powered trading signals for financial instruments via a paid POST endpoint

Fetches TradingView market data (price, chart, or technical indicator data) for financial instruments via a paid proxy endpoint

Performs a DNS lookup for a given domain and returns DNS record information, payable via the x402 micropayment protocol

Screens and filters cryptocurrency assets based on specified criteria to surface trading opportunities

Sorts creative review rows numerically and computes a two-measure correlation between feedback_count and approved_items for up to 200 supplied records, returning two independent analytical reports.

Delete a specific asset record by ID from the Onvexia blockchain analytics platform

Returns live buying-side market intelligence signals and data for trading analysis

Generates a deterministic or random UUID as a utility tool, part of a pay-per-call crypto market data and agent utility API settled in USDC on Base via x402

Performs AI-powered security review analysis on submitted text or code, returning a structured assessment via a paid x402 endpoint on Base mainnet