All Services

Filters broken link observation rows by a numeric interval on a chosen field and computes a correlation between checked_links and broken_links, returning two analytical reports for up to 200 rows.

Deduplicates and numerically orders budget program reach records (beneficiary_count or spend_amount) for up to 200 rows, producing 2 independent analytical reports.

Analyzes up to 200 build artifact records to produce a duplicate key report and a secondary-measure weighted mean, using local analytical engines with no external lookups.

Audits data quality and normalises strings for build artifact records (artifact_mb, build_seconds), producing 2 independent analytical reports for up to 200 rows.

Runs three offline analytical reports on build artifact records: a record quality audit, string normalization, and a base-100 indexed series for artifact_mb or build_seconds fields.

Runs a record quality audit and a weighted mean computation on supplied build cache rows (saved_seconds, cache_mb) — two analytical reports for up to 200 rows per call.

Computes a daily sum time series and a secondary-measure weighted mean for up to 200 supplied building footprint observation records (footprint_m2, height_m).

Analyzes up to 200 building footprint observation records to produce a duplicate key report and numeric row ordering for either footprint_m2 or height_m fields.

Computes numeric row ordering and secondary-measure weighted mean analytics for building footprint observation records (footprint_m2, height_m) for up to 200 rows.

Runs a record quality audit and string normalisation on up to 200 building footprint observation rows (footprint_m2, height_m), returning two independent analytical reports.

Runs three local analytical reports (record quality audit, string normalisation, and trailing mean series) on up to 200 rows of building footprint observation data (footprint_m2, height_m).

Performs string normalisation and base-100 index series analysis on up to 200 building footprint observation records (footprint_m2, height_m), returning two independent analytical reports.

Cleans and deduplicates up to 200 building footprint observation records (footprint_m2, height_m) by normalising strings and removing exact duplicate rows, returning 2 analytical reports.

Normalises strings and flags IQR-based outliers for building footprint (footprint_m2) and height (height_m) observation records, returning two analytical reports for up to 200 rows.

Performs string normalisation and keyed dataset comparison on two sets of bundle sales records (bundles_sold, component_units) for up to 200 rows each, returning 2 independent analytical reports.

Normalises store_group strings and orders rows by a chosen numeric field (bundles_sold or component_units) for up to 200 bundle sales records, returning 2 analytical reports per call.

Computes adjacent row-to-row changes and secondary-measure weighted mean analytics on business continuity exercise records (completed_checks, planned_checks) for up to 200 rows, returning 2 independent analytical reports.

Runs two local analytical reports (numeric distribution and numeric row ordering) on up to 200 rows of business directory coverage data containing listed and verified entity counts.

Runs numeric row ordering and two-measure correlation analysis on business directory coverage data (listed_entities, verified_entities) for up to 200 rows, returning two independent analytical reports.

Runs three local analytical reports (record quality audit, string normalisation, and two-measure correlation) on up to 200 rows of business directory coverage data containing listed_entities and verified_entities fields.

Normalises strings and flags IQR-based outliers in business directory coverage data (listed_entities, verified_entities) for up to 200 rows, producing 2 independent analytical reports.

Normalises string fields and filters rows by numeric interval for business directory coverage records (listed_entities, verified_entities) across up to 200 rows, producing 2 analytical reports locally.

Normalises strings and computes a secondary-measure weighted mean over business directory coverage records (listed_entities, verified_entities) for up to 200 rows, returning 2 independent analytical reports.

Runs string normalisation and trailing mean series analysis on business directory coverage data (listed_entities, verified_entities) for up to 200 rows, returning two analytical reports.

Normalises string fields and produces grouped numeric summaries for business event participation data (attendee_count, company_count) across up to 200 rows.

Normalises string fields and computes a secondary-measure weighted mean for business event participation records (attendee_count, company_count) across up to 200 rows.

Analyzes business location inventory records to produce category frequency counts and numeric row ordering for up to 200 rows across two reports.

Runs two local analytical reports on supplied business location inventory data: a grouped numeric summary and a numeric row ordering, for up to 200 rows.

Runs IQR-based outlier detection and a secondary-measure weighted mean analysis on up to 200 rows of business location inventory data (location_count, verified_locations).

Computes numeric row ordering and trailing mean series for business location inventory data (location_count, verified_locations) across up to 200 rows.

Runs two local analytical reports on supplied business website inventory records: a record quality audit and a keyed dataset comparison between two datasets, each up to 200 rows.

Normalises strings and performs keyed dataset comparison on two sets of business website inventory records (page_count, verified_pages) for up to 200 rows, returning 2 independent analytical reports.

Normalises string fields and applies numeric row ordering to business website inventory records (page_count, verified_pages) for up to 200 rows, producing 2 analytical reports.

Normalises string fields and computes a secondary-measure weighted mean for up to 200 business website inventory records (page_count, verified_pages), returning 2 analytical reports.

Activates a 5x earnings multiplier for 1 hour in the Button Money game for a given player wallet address

Analyzes supplied cache telemetry rows (hit_count, miss_count) to produce a duplicate key report and a secondary-measure weighted mean, up to 200 rows.

Runs two local analytical reports on cache telemetry data: a record quality audit and a numeric interval filter on hit_count or miss_count fields, for up to 200 rows.

Audits, normalises, and deduplicates up to 200 cache telemetry records (hit_count, miss_count) producing three independent analytical reports using local engines.

Normalises component/date strings and orders rows by numeric hit_count or miss_count for up to 200 cache telemetry records, returning 2 analytical reports.

Computes a Base-100 index series and a secondary-measure weighted mean for up to 200 camera coverage records (shot_count and coverage_seconds), returning two analytical reports per call.

Analyzes supplied camera coverage records to produce a duplicate key report and a trailing mean time-series for shot_count or coverage_seconds fields.

Deduplicates up to 200 camera coverage records and computes category-level frequency distributions for shot_count and coverage_seconds fields.

Deduplicates camera coverage rows exactly and produces a date-by-category pivot report for shot_count or coverage_seconds metrics across up to 200 rows.

Deduplicates camera coverage records by exact row matching and filters rows by a numeric interval on shot_count or coverage_seconds, returning two analytical reports for up to 200 rows.

Deduplicates camera coverage records by exact row and computes correlation between shot_count and coverage_seconds across up to 200 rows.

Computes numeric row ordering and secondary-measure weighted mean for camera coverage records (shot_count, coverage_seconds) across up to 200 rows, returning two analytical reports.

Runs three local analytical reports on camera coverage records: a record quality audit, string normalisation, and a secondary-measure weighted mean — all offline, no external lookups.

Audits data quality and computes two-measure correlation for camera coverage records (shot_count, coverage_seconds) across up to 200 rows, returning two independent analytical reports.

Normalises string fields and computes adjacent row changes for camera coverage records (shot_count, coverage_seconds) across up to 200 rows, returning 2 analytical reports.

Normalises string fields and orders rows numerically for camera coverage records containing shot_count and coverage_seconds, producing 2 analytical reports for up to 200 rows.

Performs string normalisation and secondary-measure weighted mean calculations on camera coverage records (shot_count, coverage_seconds) for up to 200 rows, returning 2 independent analytical reports.

Validates integer minor-unit campaign disclosure values against a caller-declared inclusive bound using BigInt comparison, operating only on supplied record data without independent certification.

Validates the chronological ordering of coverage-start, coverage-end, and receipt timestamps in campaign finance disclosure records at full UTC instant precision for a specified committee, form, filing, period, source, and revision.

Returns statistical data or analysis for a given topic as part of Canon's fact-checking and academic research service for AI agents.

Retrieves a signed, public-record node or record from a capital markets knowledge graph, returning an EdDSA-signed receipt permanently resolvable by nonce.

Sponsors a custom ML model retraining run, returning a trained v3 model, out-of-sample validation report, and technical note within 21 days.

Audits a target URL or domain for safety, geolocation scoring, and JSON-LD structured data presence, returning a composite safety and geo score.

Orders catalog completeness rows numerically and fills missing populated_fields or required_fields values using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.

Audits catalog completeness records for data quality and normalises strings, producing two analytical reports (quality audit + string normalisation) for up to 200 rows of populated_fields/required_fields data.

Audits record quality and computes a two-measure correlation between populated_fields and required_fields for up to 200 catalog completeness rows, producing two independent analytical reports.

Counts paired missing owner, revision, and content pins in catalyst measurement records without treating missing values as matches for public material-lot/method-pinned data.

Compares before/after export field sets to detect directional breaking changes in a catalyst measurement schema.

Binds catalyst measurement records to an owner/subject/revision/content/source frame and maps source coverage across rows and sources for public or synthetic data classes.

Purchases exactly $1 USDC worth of CATC tokens on behalf of the caller, returning the acquired tokens.

Searches for business leads (contacts or companies) filtered by geographic area and trade/industry type

Search for Facebook events in a specified area by location and optional keyword query

Computes deterministic geometric properties and layout parameters for media assets

Compares declared bulk and pore-free-solid density ratios against a caller-declared density-deficit fraction in integer ppm to validate condition coverage for ceramic material lots.

Validates that quantity/unit label pairs within a ceramic measurement dataset are mutually compatible and free of conflicting unit labels, within a strict dataset/subject/run/method/revision/quantity frame.

Performs string normalisation and computes trailing mean time series on certificate inventory records (days_to_expiry, certificate_count) for up to 200 rows, returning 2 analytical reports.

Monitors and retrieves on-chain activity and intelligence for a specific blockchain address across supported chains

Retrieves maximal extractable value (MEV) intelligence and analytics for a specified blockchain network

Audits JSON changes between before/after documents for Cinnamon spice metadata, reporting added/removed/changed paths and schema rule violations using a pinned SchemaStore definition.

Audits JSON changes for pgap_yaml_input_reader by comparing before/after documents against a pinned SchemaStore definition, reporting added/removed/changed paths, JSON pointer violations, and introduced/resolved errors.

Validates and audits JSON changes (before/after documents) for POPxf Correlations schema, reporting added/removed/changed paths and rule violations.

Performs full chip-structure lifecycle analysis on semiconductor chip data, covering structural inspection and analysis across the chip lifecycle.

Audits record quality and applies numeric row ordering to citation inventory data (reference_count, verified_references) for up to 200 rows, producing 2 analytical reports.

Normalises string fields and filters rows by a numeric interval for citation inventory records containing reference_count and verified_references, producing two analytical reports for up to 200 rows.

Retrieves a mapping of Twitter/X accounts associated with crypto projects from the RootData dataset via the claw402 x402 payment gateway

Fetches real-time cryptocurrency fund flow data from CoinAnk, paginated and sortable, paid per-call with USDC via x402 protocol

Returns a list of cryptocurrency coins/tokens, optionally filtered by product type, via x402 USDC micropayment gateway backed by vergex.trade

Fetches a list of recent changes from RootData within an optional time window, accessible via USDC micropayment with no API key required.

Returns ranked trading signals for crypto assets, filterable by chain and liquidity band, paid per-call with USDC via x402.

Lists available Google Gemini AI models via a pay-per-call x402 USDC gateway with no API key or registration required

Returns the list of available Zhipu AI models accessible through the claw402 x402 payment gateway

A test endpoint for validating x402 micropayment protocol integration on the ClawCall platform

Returns a signed public record entry for a surface (market node, product, or estate-scale block) with an EdDSA-signed receipt resolvable at a permanent URL.

Analyzes up to 200 coastal observation records to produce a duplicate key report and a secondary-measure weighted mean for wave height and wave period data.

Returns the current Unix timestamp for the server's timezone

Executes a named query against a JSON data payload and returns the extracted result

Returns a snapshot of XRP-related data (e.g. price) from Zach Riehn's Launch Lab research endpoint

Returns an AI-generated outlook or price/market analysis for XRP cryptocurrency from Zach Riehn's Launch Lab research endpoint.

Analyzes supplied code review records (pull_requests, review_hours) to produce a duplicate key report and a numeric row ordering report for up to 200 rows.

Retrieves a test article page that verifies the full content lifecycle on the codex.everygoodwork.io platform via a paid GET request

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

Searches and routes queries across 500+ indexed MCP servers and A2A tools with token compression and prompt injection firewall, specifically via the code-release-security-gate workflow endpoint.

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

Searches a meta-index of 500+ MCP servers and A2A tools using a capability query, returning matching tools or verifying a given endpoint URL, with token compression and prompt-guard filtering.

Runs a security gate workflow on code releases, routing the request through a meta-router indexing 500+ MCP/A2A tools with prompt-injection firewall protection.

Runs a security gate workflow that checks code releases against CVE intelligence, MCP/A2A tool discovery, and prompt-firewall screening before deployment.