All Services

Analyzes and classifies the sentiment of input text, returning sentiment scores and labels

Downloads Instagram Stories content for a given user or story URL via a paid API endpoint

Scrapes public Instagram profile and post data via the BaseBuilder Social API hub

Fetches Instagram profile data for a given username via a paid API endpoint

Provides stable access to Instagram data or automation via the BaseBuilder Social API hub

Retrieves detailed information about a specific cryptocurrency token, including price, metadata, and trading data

Retrieves the on-chain transfer log history for a specified token on Base network

Searches a meta-index of 500+ MCP servers and A2A tools by capability query, returning matching endpoints with token-compressed results and prompt-guard safety filtering.

Performs on-chain due diligence and risk analysis for DeFi tokens using a meta-router that indexes 500+ MCP servers and A2A tools.

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

Runs an on-chain DeFi token due diligence workflow, returning risk analysis and intelligence for a given token or query via a meta-router indexing 500+ MCP/A2A tools.

Searches 500+ indexed MCP servers and A2A tools for a given capability query, returning compressed, firewall-filtered tool discovery results for DeFi/token due diligence workflows

Runs an automated on-chain due diligence analysis on a DeFi token using the AgentDiet preflight meta-router, returning structured risk and intelligence signals.

Sends a lightweight GET ping to verify x402 payment settlement connectivity for the basefeed API

Validates that each requested bibliography module has exactly one caller-declared present entry within the same organization/record/jurisdiction/source/revision scope.

Maps supplied biology assay records (study/batch/protocol/export rows) against declared sources to produce a structured source-coverage frame, binding each record to an owner/subject/revision/content/source hash without independently certifying the underlying bytes.

Assesses the risk and trustworthiness of a public GitHub issue by returning a verdict, risk score, and signals.

Checks or validates X (Twitter) account or content data via the BlackBobs.ai API hub

Proxies requests to the Twitter-API45 service, returning Twitter/X social media data via a pay-per-call interface on Base chain.

Finds the cheapest products or deals relevant to Instagram-sourced data or queries

Fetches comprehensive 360-degree Instagram profile data including account details, engagement metrics, and social insights

Generates barcode images from provided data via a pay-per-call API endpoint on the Base blockchain

Scrapes and extracts publicly available data from Instagram profiles, posts, or content via the ig-looter endpoint

Fetches Instagram profile or content data quickly via the BlackBobs.ai API hub

Retrieves live or recent sports scores and match data via a pay-per-call API on Base chain

Provides programmatic access to Twitter/X platform data and actions via a pay-per-call API on the Base blockchain.

Searches and retrieves job listings from Workday-powered company career portals

Provides enterprise-grade access to Twitter/X data and actions via a pay-per-call proxy endpoint on the Base blockchain

Fetches web and social media content or search results for a given query via a pay-per-call API hub

Provides LinkedIn-related data retrieval or automation via a pay-per-call API endpoint on the Base blockchain

Fetches YouTube video data and metadata via a second-generation API endpoint on the BlackBobs.ai hub

Retrieves fantasy sports statistics and data via a pay-per-call API endpoint on the Base blockchain

Provides real-time risk intelligence signals and market state synthesis for AI agents via a discovery endpoint

Proxies a query to GPT-4o via Blockbuster.ai's multi-API hub, returning an AI-generated response for a given text input with x402 micropayment on Base chain.

Scrapes web pages and extracts content using the ScrapeNinja engine via a proxy hub with x402 micropayment billing

Scrapes and extracts public Instagram profile data, posts, media, and metadata by query

Provides a free ChatGPT-style text generation response given a user query string, via the Blockbuster.ai multi-API hub

Fetches Bloomberg market data and financial intelligence via a query-based POST endpoint with x402 micropayment on Base chain

Deduplicates block observation rows exactly and computes a secondary-measure weighted mean across up to 200 blockchain block records (block_transactions, block_gas).

Retrieves historical smart follower data for social accounts via BlockRun's routing and payment layer

Counts and inventories number tokens (digits, quantities, dates, statistics) found in a blog draft document

Retrieves a quote for tagged content items, filtered by author and count, from the Bolt AI agent utility toolkit

Generates one or more UUIDs via the Bolt utility toolkit for AI agents, paid per request in USDC via x402.

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

Extracts structured entities and data from raw text using AI processing

Looks up domain information and data for a given domain name

Verifies Base (EIP-155:8453) blockchain transaction receipts against expected payment parameters before x402 settlement for autonomous agent commerce.

Evaluates a URL-identified opportunity and returns an underwriting decision with confidence level for autonomous agent commerce use cases

Grants 30-day access to BountySignal's private feed of source-verified developer bounties by accepting a $29 USDC payment and a GitHub username for invitation.

Analyzes brand mention inventory records to produce category frequency distributions and numerically ordered row rankings for mention_count or source_count fields, across up to 200 rows in two bundled reports.

Generates a duplicate key report and a numeric row ordering report for supplied brand mention inventory records (mention_count, source_count) — up to 200 rows, no external data lookup.

Normalises string fields and produces a grouped numeric summary (sum, mean, etc.) for brand mention inventory records containing mention_count and source_count, across up to 200 rows in two independent reports.

Normalises brand mention inventory strings and filters rows by a numeric interval on mention_count or source_count fields, returning up to 2 reports for up to 200 rows.

Normalises brand mention inventory strings and computes a source-count-weighted mean for mention_count or source_count across up to 200 rows, producing 2 independent analytical reports.

Updates a Pizza Bricks vendor's website content or configuration via a prompt-based instruction

Runs three local analytical reports on bridge transfer observation records: a record quality audit, string normalisation, and a keyed dataset comparison between two supplied datasets (up to 200 rows each).

Computes numeric distribution statistics and category frequency counts for supplied broken-link observation records (checked_links, broken_links) on up to 200 rows.

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 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.

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.

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.

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.

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.

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.