All Services

Runs two analytical reports on newsletter observation data: a record quality audit and a daily sum series for delivered_messages or open_count, across up to 200 rows.

Audits data quality and removes exact duplicate rows from newsletter preparation records (completed_items and planned_items) in a single call, returning two independent analytical reports.

Analyzes supplied newsroom assignment records to produce a duplicate key report and numeric row ordering for assigned_items or completed_items fields, up to 200 rows.

Solves mathematical problems and equations submitted as natural language or expression queries

Generates a natural language product description from a search query or product input using AI

Retrieves macro nutrient data or health-related macro information based on a search query

Generates a structured outline or hierarchical breakdown from a text query or topic input using AI

Generates or retrieves LinkedIn post content based on a search query or topic input

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

Detects the language of a given text input and returns the identified language

Searches Twitter/X for threads matching a given query, returning thread content and metadata

Analyzes and debugs code snippets, identifying errors, suggesting fixes, and explaining issues using AI.

Generates a joke using AI based on a text query or topic input

Analyzes a cryptocurrency portfolio based on a search query or input, returning portfolio-related crypto data

Converts cryptocurrency amounts between different crypto assets or fiat currencies using real-time exchange rates

Generates AI-written stories or narrative content based on a text query or prompt

Compares the health profile of two or more foods based on a search query, returning nutritional or wellness-related comparison data.

Converts code from one programming language to another using AI-powered translation

Generates or analyzes a resume using AI based on a text query or input describing candidate information or job requirements

Sends a natural language query to an AI chat model and returns a generated text response, payable per call in USDC on Base.

Generates a structured outline or hierarchical breakdown of a given topic or query using AI

Estimates tax liability based on a financial query or scenario description

Generates an AI-written blog post based on a provided query or topic string

Fuzzes a GraphQL API endpoint or schema to discover vulnerabilities, hidden fields, and security issues via automated mutation testing.

Generates structured payloads or data outputs via a POST micro-service endpoint in the CIEL M2M API Marketplace, supporting AI agent workflows with pay-per-call pricing.

Generates a video script from a given topic or properties using a pay-per-call micro-service API.

Detects or analyzes spoofing patterns in cryptocurrency order books given market data input

Generates short-form video content from input parameters, payable per-call via USDC on Base

Checks and reports the uptime status of a monitored service or endpoint via the CIEL M2M API Marketplace.

Calculates or executes a portfolio rebalancing strategy given a set of asset positions and target allocations.

Routes agent requests through a Cloudflare-bypass proxy to access CIEL's 50+ micro-services including data parsing, crypto analytics, security scanning, and code tools, billed per call via USDC on Base.

Cleans and normalizes raw data payloads, removing noise and standardizing format for downstream processing.

Generates synthetic structured data on demand for testing, prototyping, or AI training pipelines, billed per call via x402 USDC micropayment.

Retrieves the BCS (Blockchain Security) token registry data to support x402-based AI agent payment risk scoring and compliance checks.

Performs a pre-purchase governance check on the QuickNode RPC health endpoint to assess risk level and buyer-role fit before an AI agent pays for it via x402.

Retrieves blockchain asset data for a specified chain from the BlockchainSecurity Atlantis upstream service, accessed through an x402-gated payment proxy.

Performs a pre-purchase risk and identity check on an Ethereum wallet address to assess whether an AI agent is eligible to buy x402-gated QuickNode wallet-execution APIs or tools.

Fetches a blockchain wallet risk bundle for a given address, proxied through an x402-gated preflight layer that checks agent buyer eligibility before purchase.

Resolves blockchain asset symbols and contract addresses to detailed asset metadata for a specified blockchain network, proxied through an x402 micropayment gateway.

Counts words and characters in a supplied text string, optimized for nonprofit document workflows.

Normalizes whitespace and line breaks in text, tailored for nonprofit document and workflow use cases.

Returns a paid audit verdict for AI inference results, providing a judgment on the quality or validity of a model output via x402-micropayment-gated endpoint.

Validates agent service requests or inputs via a pay-per-call API endpoint using x402 micropayments on Base

Routes an agent-to-agent (a2a) delegation payload through the NOVA x402 pay-per-call infrastructure on Base with USDC, returning acceptance and routing confirmation.

Computes a daily sum time series and a secondary-measure weighted mean from user-supplied null coverage records (missing_values, total_values) for up to 200 rows.

Computes a daily sum time series and a two-measure correlation report for user-supplied null coverage data (missing_values, total_values) across up to 200 rows.

Generates two local analytical reports — a duplicate key report and a base-100 indexed series — for user-supplied null coverage records containing missing and total value counts.

Computes numeric row ordering and a base-100 indexed series for supplied null coverage data (missing_values, total_values) across up to 200 rows, returning two analytical reports.

Runs three local analytical reports (record quality audit, string normalisation, and base-100 index series) on supplied null-coverage data (missing_values and total_values) for up to 200 rows.

Computes Pearson correlation between missing_values and total_values, plus a weighted mean of a selected secondary measure, across up to 200 null-coverage records in a single paid call.

Computes adjacent row changes and fills missing values (zero/mean/median) for up to 200 rows of source_value/transformed_value numeric data, returning 2 analytical reports.

Analyzes up to 200 rows of numeric precision comparison records, producing two reports: category frequency counts by dataset_group and numeric row ordering for source_value or transformed_value.

Analyzes up to 200 rows of numeric source/transformed value pairs, producing a duplicate key report and an explicit missing-value fill report using local analytical engines.

Computes a grouped numeric summary and a trailing mean time series for supplied source_value/transformed_value comparison records, returning two analytical reports for up to 200 rows.

Sorts numeric rows and fills missing values (zero, mean, or median) for source_value/transformed_value pairs across up to 200 supplied records, producing 2 analytical reports.

Returns a pre-built agent communication pack with templates and playbook for notifying clients about seasonal capacity constraints and extended lead times.

Normalises string fields and applies numeric row ordering to office supplies records (issued_units, received_units) for up to 200 rows, returning 2 analytical reports.

Generates AI text completions from a natural language query or prompt, paid per call via x402 USDC micropayments.

Generates or analyzes a professional resume using AI based on a text query or input data

Generates AI-written email content based on a query or prompt describing the desired email

Generates geographic isoline (isochrone/isodistance) contours around a point, returning polygonal boundary shapes for travel time or distance reachability zones.

Summarizes or condenses input text or query results into a concise summary using AI

Generates quiz questions on a given topic using AI, accessible via pay-per-call USDC micropayment

Converts code snippets or queries between programming languages or formats using AI

Generates a professional or social biography for a person or entity based on a text query

Shortens a long URL into a compact, shareable short link

Generates AI-powered study flashcards from a text query or input topic, paid per call via x402 USDC

Estimates travel time (ETA) between geographic locations given a query describing origin and destination

Generates a personalized meal plan based on a user-provided query or dietary preferences

Generates a structured outline or hierarchical summary from a given text query or input using AI

Analyzes the readability of a given text and returns readability scores and metrics

Returns turn-by-turn navigation directions between two locations via a paid-per-call geo endpoint

Generates variations of an input image using AI, returning alternative versions of the provided image

Rewrites or paraphrases input text using AI, returning a transformed version of the original content.

Verifies the integrity or authenticity of a hash value against provided input data

Computes semantic similarity between a query text and input data, returning a similarity score or ranked results

Counts the number of words in a given text string

Classifies a text query or input into AI-determined categories using a pay-per-call USDC x402 endpoint

Generates or publishes a LinkedIn post from a given query or topic input, paid per call via USDC x402

Fetches AI-curated news headlines based on a search query, returning relevant news results via a pay-per-call x402 endpoint.

Generates code snippets or complete code solutions from a natural language query using AI, paid per call via USDC x402

Verifies smart contract bytecode, SPL/Token-2022 token authority, and multi-DEX liquidity risk across 7 blockchains before a trade is executed

Audits smart contract bytecode and token authority across 7 blockchains to assess trade risk before execution, returning a safety verdict and risk score.

Applies a deterministic section template to supplied Markdown or plain text to produce a structured onboarding guide deliverable.

Analyzes onboarding progress records (completed_steps, required_steps) to produce a duplicate key report and a trailing mean series for up to 200 rows.

Deduplicates onboarding progress rows and computes a Base-100 indexed series for completed_steps or required_steps across up to 200 supplied records.

Deduplicates onboarding progress records exactly and computes daily sum time series for completed_steps or required_steps across up to 200 rows.

Computes a numeric distribution and a secondary-measure weighted mean for onboarding progress records (completed_steps and required_steps) across up to 200 rows, returning two analytical reports.

Runs three analytical reports on onboarding progress data: record quality audit, exact row deduplication, and a base-100 indexed series for completed_steps or required_steps.

Computes a trailing mean time series and a secondary-measure weighted mean for onboarding progress data (completed_steps, required_steps) across up to 200 rows, returning two analytical reports.

Submit a review or feedback object to the x402-powered review endpoint for processing via pay-per-request protocol

Submit feedback or tool-related requests to the OnchainExpat x402 API platform via pay-per-request protocol

Counts the number of lines in a given text string, returning a line-based token analysis for up to 50,000 characters.

Cleans and normalizes input text using a tier-9 processing level via a pay-per-call x402 micropayment API.

Computes set operations (pack) on two input arrays and returns a tier-dependent result, priced per call via x402 on Base.

Repeats a given text string a specified number of times and returns the concatenated result.

Computes a tier-9 statistical summary pack over an input array of numeric values, returning tier-dependent statistical outputs.

Builds a structured search query string from a value object for use with the ONE Engine search API.

Computes statistical metrics on an input array of values at Tier 3 detail level, returning tier-dependent analytical output.

Segments and processes a text string into structured output at tier-3 quality level, payable per-call via x402 on Base.