All Services

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.

Computes a text diff between two strings or documents, returning the differences between them

Performs matrix operations and linear algebra computations via a paid per-call API on Base

Performs fraction arithmetic and operations given a mathematical query string

Performs matrix operations and computations on provided matrix data via a natural-language or structured query input

Converts between cryptocurrency pairs or performs unit/value conversion for crypto assets

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.

Classifies a text query or input string into categories using AI

Searches for health symptom information based on a natural language query

Calculates retirement savings projections and planning metrics based on user-provided financial parameters

Computes semantic similarity between a query string and reference content using AI embeddings

Retrieves or analyzes a cryptocurrency portfolio based on a search query or input parameter

Computes semantic similarity between a query string and other content using AI-based comparison

Rewrites or paraphrases input text using AI to produce an improved or reformatted version

Generates vector embeddings for a given text query or input string via a pay-per-call API on Base

Generates AI text completions from a natural language query or prompt input

Calculates an appropriate tip amount for a given bill or service scenario

Estimates tax liability or tax-related figures based on a query input

Generates a descriptive text description for a product using AI, given a search query or product input.

Generates an AI-written biography or profile summary based on a search query or subject input

Generates code snippets or solutions from a natural language query using AI

Generates quiz questions and answers on a given topic using AI

Summarizes a given text query or input into a concise summary using AI

Determines optimal geographic routing or location-based routing decisions given a search query or location input

Runs a proxy/security scan on a target via the CIEL M2M micro-service marketplace, returning scan results as JSON.

Indexes and queries Tor hidden service (.onion) network data, returning structured information about onion sites and their content.

Optimizes routing or path planning for a given set of inputs, returning computed route data via a pay-per-call micro-service.

Generates SRT subtitle/caption files or subtitle-related text content via a micro-service API endpoint

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 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

Formally verifies ERC-4626 vault share/asset rounding invariants by executing user-supplied deposit and redeem preview functions against symbolic or bounded inputs to detect counterexamples.

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.

Runs two analytical reports on office supplies records: a data quality audit and a secondary-measure weighted mean calculation, for up to 200 rows of issued/received units data.

Counts the number of characters in a given text string

Generates images from a text query/prompt using an AI model, billed per call in USDC via x402

Performs matrix computations and linear algebra operations via a paid per-call API using USDC micropayments over x402.

Generates a natural language product description for a given query or product input using AI

Calculates retirement savings projections, required contributions, or retirement readiness estimates based on user-provided financial inputs

Converts energy values between different units (e.g. joules, kilowatt-hours, calories, BTUs) via a pay-per-call API

Calculates compound interest based on provided financial parameters such as principal, rate, and time period

Detects the language of a given text input, returning language identification results

Calculates loan payment schedules, interest costs, and amortization details based on loan parameters

Encodes a payload into a signed JSON Web Token (JWT) for use in authentication and authorization flows.

Verifies a smart contract on a blockchain network, checking its authenticity, source code, and deployment status

Shortens a long URL into a compact, shareable short link using an AI-powered tool endpoint

Formats a raw address or location query string into a standardized, structured address representation

Generates a cryptographic hash from an input string or data payload

Compares food items or meals based on a query, returning nutritional, health, or other comparative data

Translates text from one language to another using AI via a pay-per-call USDC micropayment endpoint

Runs three local analytical reports on onboarding progress records: record quality audit, exact row deduplication, and numeric row ordering for completed_steps or required_steps.

Runs three local analytical reports on onboarding progress records: a record quality audit, string normalization, and an equal-width histogram on completed_steps or required_steps.

Normalises string fields and deduplicates exact rows in onboarding progress records (completed_steps, required_steps) for up to 200 rows, returning 2 analytical reports.

Runs string normalisation and two-measure correlation analysis on onboarding progress records (completed_steps, required_steps) for up to 200 rows, returning two analytical reports.

Returns deep research data about a specified Pokémon using a pay-per-request x402 API

Fetches an AI-generated research report for a specified Pokemon via pay-per-request x402 micropayment

Encodes or transforms input text using a tier-2 encoding pack, returning processed output suitable for autonomous agent pipelines.

Cleans and normalizes input text using a tier-7 processing pack, returning cleaned text output via a pay-per-call x402 API on Base.

Performs tier-6 text analysis on a given string, returning a tier-dependent structured result via pay-per-call x402 micropayment on Base.

Applies tier-9 text transformation to input text, returning a tier-dependent processed result via a pay-per-call API on Base.

Segments and packs input text using tier-9 processing via a pay-per-call utility API on Base.

Performs tier-4 JSON analysis on a submitted value, returning structured analytical output via a low-cost pay-per-call x402 micropayment API.

Applies a tier-7 encoding transformation to input text, returning a tier-dependent encoded or processed output.

Performs tier-3 JSON analysis on arbitrary input values via a pay-per-call x402 API on Base.

Performs tier-4 numeric analysis on a given number value via a low-cost pay-per-call API using x402 on Base.

Segments and packs input text into structured chunks at tier 8 processing level, optimized for autonomous agent pipelines.

Packs two input arrays into a set-based data structure using tier-5 processing logic.

Analyzes a text string and returns a tier-10 analysis result via pay-per-call API using x402 micropayments on Base.

Removes the first item from a JSON array with Tier 8 diagnostic detail level

Splits a JSON array into fixed-size chunks of 8 elements, returning the chunked sub-arrays along with rich tier-10 diagnostics.

Removes the last 16 Unicode characters from a text string, returning the trimmed result with Tier 6 diagnostic metadata.

Extracts the last 48 words from a given text input, returning them with the richest available diagnostic metadata at Tier 10.

Returns the first 32 Unicode characters from a submitted text string, with Tier 10 richer diagnostic metadata included in the response.

Retrieves platform-level statistics for the OpenFacilitator platform on the Base network

Returns a multi-component decision bundle (buy/skip verdict, URL health, audit report, evidence pack, commercial audit, conversion health) for procurement, vendor risk, API QA, and public-web buy-or-skip workflows

Retrieve details about a specific power project (e.g. energy queue or generation site) by its ID, including zone, region, state, county, and source metadata.

Converts time values between formats or timezones via an HTTP POST request

Proxies HTTP POST/PUT/PATCH requests to an Ethereum JSON-RPC endpoint, enabling blockchain interactions such as querying state, sending transactions, and calling smart contracts.

Enumerates field-level differences (owner, subject, revision, content, scope pin changes) between two revisions of optical geometry/calibration/lot/method-pinned supplied records by stable record ID.

Returns geographic or geospatial data for a given query string via Orbonomy's unified API platform

Looks up structured data about a company by name via the Orbonomy unified API platform

Executes a multi-step LLM pipeline by chaining AI processing steps against an initial text input

Retrieves financial data for a given ticker symbol via a pay-per-call API.

Generates a styled text snippet from input text using a specified writing style

Cleans and sanitizes raw text content, removing unwanted elements to produce clean, processable output

Submits hotel review text associated with a hotel ID for processing or storage

Audits a block of text for content quality, compliance, or policy issues and returns a success/failure result

Generates a content draft from input text with a specified tone and style

Broadcasts or publishes text content in a specified tone via the Orbonomy unified API platform

Retrieves events data for a given topic and location via the Orbonomy unified API platform

Queries Orbonomy's unified marketplace data endpoint across accommodation, AI, content, fact-checking, and data services using a search query and platform filter

Queries Orbonomy's unified marketplace to retrieve data across accommodation, AI, content, fact-checking, and other services via pay-per-call API

Broadcasts or publishes text content with a specified tone via the Orbonomy unified API platform

Searches and retrieves entries from Orbonomy's catalog of 50+ pay-per-call API endpoints by query and category