All Services

Compares two keyed asset coverage datasets (known_assets vs monitored_assets) row-by-row and fills in explicit missing values, returning up to 2 analytical reports for up to 200 rows.

Runs a record quality audit and category frequency analysis on up to 200 asset import rows, returning two analytical reports for import_seconds and asset_count data grouped by game_area.

Computes a secondary-measure weighted mean and fills missing values for asset revision records (revision_count, rework_hours) across up to 200 rows, returning two analytical reports.

Returns a 402 Payment Required challenge response for testing x402 payment protocol flow; a crawler/probe endpoint with no functional side effects

Runs two local analytical reports on supplied audio voice records: a duplicate key report and a date-by-category pivot, for up to 200 rows.

Computes MD5, SHA-256, and SHA-512 cryptographic hash values for a given input string or data.

Converts markdown text input into rendered HTML and returns the result with a character count

Searches a meta-index of 500+ MCP servers and A2A tools by capability query, returning compressed, firewall-screened tool matches for agent routing.

Searches a meta-index of 500+ MCP servers and A2A tools to discover and route to B2B lead enrichment capabilities, including company data, domain OSINT, and contact intelligence.

Searches and routes B2B lead enrichment queries through a meta-indexed hub of 500+ MCP servers and A2A tools with token compression and prompt firewall protection

Discovers and routes to B2B lead enrichment capabilities across 500+ indexed MCP servers and A2A tools using a single query connection with token compression and prompt firewall.

Searches and routes across 500+ MCP servers and A2A tools via a single meta-router connection, with token compression and prompt-injection firewall.

Returns a curated list of currently funded, evidence-verified bounty opportunities with reward amounts and funding confidence scores.

Returns a paginated list of recently published AI agent skill drops available in the MuseFM Playbook skill exchange marketplace.

Computes adjacent row-to-row changes and base-100 indexed series for up to 200 rows of backup exercise data (restore_minutes, restored_gb).

Runs three local analytical reports on backup exercise records (restore_minutes, restored_gb): record quality audit, string normalisation, and exact row deduplication — up to 200 rows per call.

Normalises strings and deduplicates exact rows in backup exercise records (restore_minutes, restored_gb), producing 2 analytical reports for up to 200 rows.

Proxies CoinRanking cryptocurrency data via a paid x402 micropayment-gated API endpoint

Returns real-time precious metal spot prices (gold, silver, platinum, palladium, etc.) via the BaseBuilder Sentiment API hub

Scrapes and extracts profile or company data from LinkedIn via a paid API endpoint

Provides data and analytics for PumpFun tokens and markets on the Solana blockchain via a paid POST endpoint

Fetches current cryptocurrency exchange rates for one or more trading pairs

Tracks large cryptocurrency wallet movements and whale transactions on-chain

Calculates cross-chain bridge fees for DeFi token transfers via the BaseBuilder DeFi API hub

Assesses and scores the risk profile of a DeFi protocol based on on-chain and off-chain signals

Returns current stablecoin yield opportunities and APY data across DeFi protocols on Base

Queries LinkedIn Sales Navigator data via a paid API endpoint to retrieve professional and company intelligence for sales prospecting.

Analyzes sentiment of CNBC financial news content and returns sentiment scores or classifications

Scrapes Instagram profile data, posts, and related social media information via a POST endpoint

Scrapes and analyzes Instagram profile and post analytics data via a paid API endpoint

Scrapes Instagram profile and post data via a paid API endpoint

Fetches stock market data from Yahoo Finance via the BaseBuilder Stocks paid API hub using the Yahoo Finance15 data source

Provides Indian stock market data including prices, fundamentals, and market information via a paid POST endpoint

Retrieves the list of followers for a given Twitter/X account's tweets or profile via a paid API hub

Searches a meta-index of 500+ MCP servers and A2A tools by capability query, returning compressed tool routes with prompt-guard firewall protection for DeFi token due diligence workflows.

Discovers and routes to MCP servers and A2A tools for DeFi token due diligence, returning compressed capability results through a prompt-guarded meta-router.

Runs a structured due diligence workflow on a DeFi token using CVE intelligence, on-chain risk analysis, and DEX token intelligence data.

Processes a 0.1 USDC x402 micropayment to access BaseHub's play-games-and-earn-XP feature

Summarizes success, failure, pending, and unknown statuses across a batch of results, returning counts and normalized values as versioned deterministic JSON.

Starts a Batch Runner game session where Rex402 attempts to run through Base City using up to 100 jumps

Compares two sets of parsed bibliography records for semantic equivalence, preserving pins and scope while ignoring record order.

Computes numeric row ordering and secondary-measure weighted mean analytics for bibliography inventory records (reference_count, verified_references) across up to 200 rows, returning 2 independent reports.

Binds assay-to-source edges to an exact study/batch/protocol/source-revision frame for supplied-record provenance analysis of biology assay data.

Analyzes content to detect whether it is NSFW (not safe for work) or contains adult/explicit material

Retrieves financial market data, quotes, or analytics via a pay-per-call endpoint on the Base blockchain

Search and retrieve product listings and details from the Shopee e-commerce marketplace

Queries the YouTube API to retrieve video data, search results, channel info, or related YouTube content via a unified paid endpoint

Fetches identity and wallet information for a given Ethereum address on Polymarket via BlockRun's routing and payment layer

Looks up company information for a given domain name, returning structured business data about the organization.

Generates placeholder lorem ipsum text with a configurable number of sentences and paragraphs

Looks up information and data about a given domain name via the Bolt utility toolkit API.

Formats and pretty-prints a JSON string with optional indentation control

Tests whether the x402 micropayment settlement path on Solana is operational for autonomous agent commerce infrastructure.

Provides autonomous agents with a unified control plane for API cost routing, seller conformance auditing, mission planning, margin optimization, spend controls, and GitHub bounty intelligence.

Deduplicates exact duplicate rows and fills missing values (mention_count or source_count) in brand mention inventory datasets using zero, mean, or median imputation.

Sorts brand mention inventory rows numerically and flags statistical outliers using IQR analysis for mention_count or source_count fields across up to 200 rows.

Audits record quality and computes a secondary-measure weighted mean for up to 200 rows of brand mention inventory data (mention_count, source_count), producing two independent analytical reports.

Delivers a paid indie game license content pack via x402 micropayment on Base blockchain for $49 USDC per call

Performs AI-driven intelligence analysis on cryptocurrency topics based on a free-text query

Computes a numeric distribution and a secondary-measure weighted mean for up to 200 rows of broken link observation data (checked_links, broken_links).

Performs string normalisation and base-100 indexed series analysis on user-supplied broken link observation records (checked_links, broken_links) for up to 200 rows, returning 2 analytical reports.

Runs two local analytical reports on budget program reach data: a record quality audit and numeric row ordering for beneficiary_count or spend_amount fields, across up to 200 rows.

Computes adjacent row changes and secondary-measure weighted mean for build artifact records (artifact_mb, build_seconds) on up to 200 supplied rows, returning two independent analytical reports.

Audits record quality and compares two keyed datasets of build artifact metrics (artifact_mb, build_seconds) for up to 200 rows, returning two independent analytical reports.

Normalises string fields and computes two-measure correlation analysis on build artifact records (artifact_mb, build_seconds) for up to 200 rows.

Audits data quality of build cache records and performs keyed comparison between two datasets (up to 200 rows each) reporting on saved_seconds and cache_mb metrics.

Computes category frequencies and numeric row ordering for up to 200 building footprint observation records (footprint_m2, height_m) using local analytical engines.

Deduplicates building footprint observation rows exactly and produces grouped numeric summaries for footprint_m2 or height_m fields across up to 200 records.

Computes grouped numeric summary statistics and applies a numeric interval filter on user-supplied building footprint (footprint_m2, height_m) observation records, returning up to 2 analytical reports for up to 200 rows.

Runs IQR-based outlier detection and two-measure correlation analysis on supplied building footprint observation records (footprint_m2, height_m) for up to 200 rows.

Applies a numeric interval filter and keyed dataset comparison to two supplied sets of building footprint observation records (footprint_m2, height_m), returning 2 analytical reports for up to 200 rows.

Filters building footprint observation rows by a numeric interval and computes a two-measure correlation report between footprint_m2 and height_m for up to 200 supplied rows.

Computes pairwise correlation between footprint_m2 and height_m, and fills missing values in a chosen field using zero, mean, or median imputation, across up to 200 building observation rows.

Deduplicates bundle sales rows exactly and computes a secondary-measure weighted mean across up to 200 supplied bundle sales records in two independent reports.

Runs two local analytical reports on bundle sales data: string normalisation and trailing mean series for up to 200 rows of bundles_sold or component_units data.

Analyzes up to 200 business directory coverage records to detect adjacent row changes and fill missing values in listed_entities or verified_entities fields using zero, mean, or median strategies.

Computes category frequencies and secondary-measure weighted mean for business directory coverage records (listed_entities, verified_entities) across up to 200 rows, returning two analytical reports.

Performs exact row deduplication and adjacent row change detection on business directory coverage records (listed_entities, verified_entities) for up to 200 rows, returning two analytical reports.

Deduplicates exact duplicate rows and generates a date-by-category pivot report for business directory coverage data (listed_entities, verified_entities) in a single call.

Deduplicates up to 200 rows of business directory coverage data and computes a secondary-measure weighted mean across listed_entities and verified_entities fields, returning two analytical reports.

Computes grouped numeric summaries and fills missing values for business directory coverage records (listed_entities, verified_entities) across up to 200 supplied rows, returning two analytical reports.

Compares two business directory datasets by key and fills missing values for listed_entities and verified_entities fields across up to 200 rows, producing two analytical reports.

Filters business directory coverage rows by a numeric interval and computes adjacent-row changes for listed_entities or verified_entities, returning two analytical reports from supplied data.

Filters business directory coverage rows (listed_entities, verified_entities) to a numeric interval and fills missing values using zero, mean, or median imputation — up to 200 rows, 2 reports per call.

Sorts business directory coverage rows numerically and computes a weighted mean for a secondary measure, returning two analytical reports on supplied listed_entities and verified_entities data.

Audits record quality and computes adjacent-row changes for business directory coverage data (listed_entities, verified_entities) across up to 200 rows, producing 2 independent analytical reports.

Audits record quality and applies numeric row ordering to business directory coverage data (listed_entities, verified_entities) for up to 200 rows, producing 2 independent local analytical reports.

Computes a secondary-measure weighted mean and fills missing values for business directory coverage data (listed_entities, verified_entities) across up to 200 rows in two independent reports.

Runs string normalisation and duplicate key detection on business directory coverage records (listed_entities, verified_entities) for up to 200 rows, returning two analytical reports.

Normalises strings and computes two-measure correlation analysis on business directory coverage records (listed_entities, verified_entities) for up to 200 rows.

Analyzes up to 200 business event participation records to detect duplicate row keys and rank rows by a chosen numeric field (attendee_count or company_count), returning two independent analytical reports.

Deduplicates exact rows and flags IQR-based outliers in business event participation data (attendee_count, company_count) for up to 200 rows, producing 2 analytical reports.

Deduplicates business event participation rows and computes correlation between attendee_count and company_count across up to 200 supplied records, returning two analytical reports.

Sorts business event participation records by a numeric field and filters rows within a specified numeric range, returning up to 2 analytical reports for up to 200 rows.

Computes numeric row ordering and secondary-measure weighted mean for business event participation data (attendee_count, company_count) across up to 200 rows in two bundled reports.

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.