Help me set up Zero — a free tool that lets you find and use extra services you don't have built in (image/video generation, search live social media, or hosting a free webpage). …To setup manually, read Installation Guides
Validates that every requested module name has exactly one caller-declared present module entry within a specified catalogue record, organization, jurisdiction, source, and revision.
Runs three local analytical reports on marketplace charges data: a record quality audit, string normalisation, and a base-100 indexed series for gross_amount or fee_amount, across up to 200 rows.
Runs three local analytical reports on marketplace charge records: a record quality audit, string normalisation, and a date-by-category pivot — up to 200 rows per call.
Normalises string fields and sorts rows numerically for market survey observation records containing respondent_count and sample_weight fields, producing two analytical reports for up to 200 rows.
Normalises string fields and computes correlation between respondent_count and sample_weight across up to 200 market survey observation rows, returning two analytical reports.
Audits record quality, normalises strings, and orders rows numerically for matchmaking observation data (queue_seconds, party_size) — up to 200 rows, 3 reports per call.
Calculates scrap margin for material or manufacturing inputs, returning margin/profitability data for scrap material transactions
Deduplicates material library records by exact row and computes daily sum time series for material_count or texture_mb fields, returning two independent analytical reports for up to 200 rows.
Performs a record quality audit and numeric row ordering analysis on material library data (material_count, texture_mb) for up to 200 supplied rows, returning 2 independent analytical reports.
Runs two local analytical reports on material library records: a data quality audit and a weighted mean calculation for either material_count or texture_mb, across up to 200 rows.
Runs two local analytical reports on material library records: string normalisation and a date-by-category pivot, covering up to 200 rows of material_count or texture_mb data.
Normalises strings and identifies exact duplicate rows in supplied material library records (material_count, texture_mb) across up to 200 rows, returning 2 analytical reports.
Performs string normalisation and two-measure correlation analysis on material library records (material_count, texture_mb) for up to 200 rows, returning two independent analytical reports.
Hashes a given text string using a specified algorithm and key, returning the resulting hash as JSON.
Filters a supplied batch of meeting records by exact meeting ID/revision, allowed agenda IDs, and a caller-declared half-open time window, returning only the records that fall within those scope constraints.
Audits record quality and numerically orders rows for supplied mesh budget data (triangle_count, vertex_count) across up to 200 rows, returning two independent analytical reports.
Normalises string fields and computes a secondary-measure weighted mean across up to 200 mesh budget records containing triangle_count and vertex_count.
Computes numeric row ordering and base-100 index series for metadata completeness records (present_fields vs expected_fields) across up to 200 rows, returning 2 analytical reports.
Audits metadata completeness records for quality issues and fills missing values in present_fields or expected_fields columns using zero, mean, or median imputation, for up to 200 rows with 2 independent reports.
Normalises strings and fills missing values in metadata completeness records (present_fields, expected_fields) for up to 200 rows, producing 2 analytical reports.
Queries sports data (scores, stats, fixtures, teams) via a pay-per-call proxy to the SportAPI7 provider, billed at $0.10 USDC per call on Base Mainnet.
Executes a search or data lookup query against one of 95+ premium APIs, returning results via a unified pay-per-call interface on Base Mainnet using USDC
Converts or localizes prices globally based on a query, adapting pricing information for different regions or markets
Search and retrieve Instagram profile or content data by username or query via a pay-per-call API using USDC on Base Mainnet.
Generates or looks up barcode data based on a query string input, returning barcode information via a pay-per-call interface
Audits code snippets for issues, quality, or correctness, returning analysis results for a given programming language
Computes a mathematical power series expansion given input parameters via the x402 micropayment protocol
Retrieves fee history data for x402 payment protocol transactions
Validates or checks payee information for x402 payment requests, verifying that a payment recipient is correctly configured before publishing.
Compares two strings and returns the result of the comparison via a paid x402 API call
Computes Chebyshev polynomial values or approximations for given mathematical inputs
Retrieves loan-related information or calculations via the minia2a x402 platform
Returns toolkit/reference information for the x402 payment protocol agent integration framework
Returns the current server time as a paid x402 endpoint
Returns current blockchain gas price information via a paid x402 API endpoint
Counts the number of digits in a given numeric input
Normalises string fields and applies numeric row ordering to mining pool share records (accepted_shares, rejected_shares) for up to 200 rows, producing 2 analytical reports.
Computes the Pearson/benchmark correlation between availability-adjusted mining rewards and a set of user-supplied benchmark values across multiple data rows.
Applies string normalisation and base-100 indexing to moderation queue data (reported_items, reviewed_items) for up to 200 rows, producing two analytical reports.
Returns a GBP (British Pound) financial audit report via a paid x402 USDC micro-payment on Base.
Returns an agent starter bundle resource via a paid x402 GET endpoint on Base, requiring USDC payment authorization before content is delivered.
Paid GET endpoint on the MoneyMaker x402 storefront that returns a response after authorizing $0.10 USDC via the x402 payment protocol on Base.
Paid x402 GET endpoint on Base that serves agent board operations data for $0.10 USDC per call via on-chain micropayment authorization.
Delivers a paid digital game-feel asset pack (expo edition) via x402 micropayment on Base, returning pack content after USDC payment authorization.
Delivers a pre-built Python data-conversion toolkit (json2csv.py + csv2json.py) with stdlib-only source, passing pytest suites, and READMEs for immediate use.
Runs string normalisation and secondary-measure weighted mean calculations on motion capture records (frame_count, missing_frames) for up to 200 rows, returning 2 independent analytical reports.
Registers an agent into a multi-agent coordination network so it can participate in coordinated tasks
Cleans and normalizes raw text by removing noise, formatting artifacts, or unwanted characters via a pay-per-call API on Base mainnet
Validates Mexican identifiers (CURP, RFC, phone numbers) via a pay-per-call API on Base mainnet
Provides deterministic CI diagnosis, data validation, JavaScript syntax checks, market snapshots, and opportunity preflight checks via a pay-per-call API.
Retrieves install lifecycle hook metadata for the nanoid npm package from the registry to support integration and upgrade planning.
Analyzes up to 200 navigation path records to produce a duplicate key report and a grouped numeric summary for path_length or search_ms fields.
Sorts network observation records (connection_count, rejected_connections) by numeric row ordering and compares two keyed datasets, returning two analytical reports for up to 200 rows.
Computes the difference between two sequences of neural-interface model/calibration/pipeline records, separating true record insertions/deletions from reordering of surviving records.
Validates that supplied neural-interface model/calibration/pipeline records conform to declared owner, subject, revision, and allowed scope labels, flagging any boundary violations.
Returns a paid AI-generated decision procedure and schema for agents needing to reason about the New Mexico lawsuit ordering Meta to pay $567M over harms to children's mental health
Applies numeric row ordering and missing-value fill (zero, mean, or median) to up to 200 news archive completeness records containing indexed_items and expected_items fields.
Computes numeric row ordering and secondary-measure weighted mean analytics for news archive completeness records (indexed_items, expected_items) across up to 200 rows in two independent reports.
Analyzes news archive completeness records by applying numeric row ordering and two-measure correlation between indexed_items and expected_items for up to 200 rows.
Runs two local analytical reports (string normalisation and adjacent row changes) on up to 200 news archive completeness records containing indexed and expected item counts.
Normalises strings and deduplicates exact rows in news archive completeness records containing indexed_items and expected_items fields, producing 2 analytical reports for up to 200 rows.
Runs string normalisation and numeric distribution analysis on up to 200 rows of news archive completeness records (indexed_items, expected_items), returning two independent analytical reports.
Computes string normalisation and secondary-measure weighted mean analytics on up to 200 rows of news archive completeness data (indexed_items, expected_items), returning 2 independent reports per call.
Runs string normalisation and two-measure correlation analysis on newsletter observation records (delivered_messages, open_count) for up to 200 rows, returning 2 independent analytical reports.
Searches for health symptom information based on a natural language query
Performs fraction arithmetic and operations given a mathematical query string
Retrieves or analyzes a cryptocurrency portfolio based on a search query or input parameter
Generates a descriptive text description for a product using AI, given a search query or product input.
Performs matrix operations and computations on provided matrix data via a natural-language or structured query input
Computes semantic similarity between a query string and reference content using AI embeddings
Determines optimal geographic routing or location-based routing decisions given a search query or location input
Summarizes text or search query results into a concise AI-generated summary
Translates text from one language to another using an AI-powered translation endpoint, pay-per-call via USDC on Base.
Summarizes a given text query or input into a concise summary using AI
Rewrites or paraphrases input text using AI to produce an improved or reformatted version
Computes semantic similarity between a query string and other content using AI-based comparison
Classifies a text query or input string into categories using AI
Converts between cryptocurrency pairs or performs unit/value conversion for crypto assets
Calculates retirement savings projections and planning metrics based on user-provided financial parameters
Generates AI text completions from a natural language query or prompt input
Computes a text diff between two strings or documents, returning the differences between them
Generates code snippets or solutions from a natural language query using AI
Performs matrix operations and linear algebra computations via a paid per-call API on Base
Generates an AI-written biography or profile summary based on a search query or subject input
Estimates tax liability or tax-related figures based on a query input
Generates quiz questions and answers on a given topic using AI
Calculates an appropriate tip amount for a given bill or service scenario
Generates vector embeddings for a given text query or input string via a pay-per-call API on Base
Optimizes routing or path planning for a given set of inputs, returning computed route data via a pay-per-call micro-service.
Indexes and queries Tor hidden service (.onion) network data, returning structured information about onion sites and their content.
Runs a proxy/security scan on a target via the CIEL M2M micro-service marketplace, returning scan results as JSON.
Analyzes MEV (Maximal Extractable Value) liquidation opportunities and events on-chain, returning structured DeFi analytics data.
Retrieves or analyzes Twitter/X data via a pay-per-call micro-service endpoint on the CIEL M2M marketplace
Scans a domain or set of properties for subdomain takeover vulnerabilities by checking dangling DNS records pointing to unclaimed third-party services.
Generates SRT subtitle/caption files or subtitle-related text content via a micro-service API endpoint
Generates a universally unique identifier (UUID) via a paid x402 micropayment-gated endpoint
Normalises string fields and orders rows numerically for null coverage records (missing_values, total_values), producing 2 independent analytical reports for up to 200 rows.
Mints a small quantity of Nut402 tokens on the Base blockchain via an x402 paywall for $1 USDC per call, returning the transaction hash and amount.
Returns an echoed response to confirm API connectivity and validate that x402 payment-gated requests are working correctly
Runs two local analytical reports on office supplies records: numeric row ordering and a date-by-category pivot table for issued_units or received_units across up to 200 rows.