All Services

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

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

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

Estimates tax liability based on a financial query or scenario description

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

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.

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.

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

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

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

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

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

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

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

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

Purchase and download a step-by-step guide (delivered as a Markdown file with a browser tool link) for indie builders to go from idea to first sale, gated by a $9 USDC x402 payment

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.

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

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

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.

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.

Runs two local analytical reports on office supplies records — a grouped numeric summary and a trailing mean series — for up to 200 rows of issued/received units data.

Computes numeric row ordering and adjacent row changes for office supplies records (issued_units or received_units) across up to 200 rows, returning two analytical reports.

Performs numeric row ordering and Pearson/rank correlation analysis between issued_units and received_units for up to 200 office supplies records, returning two independent analytical reports.

Runs string normalisation and duplicate key detection on office supplies records (issued_units, received_units) for up to 200 rows, returning two independent analytical reports.

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.

Normalises string fields and computes a secondary-measure weighted mean for office supplies records containing issued_units and received_units, across up to 200 rows.

Returns a single immutable English editorial article about offset plate preparation in printing, with source-backed data and geographic context.

Shortens a long URL into a compact, shareable short link

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Counts the number of words in a given text string

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

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

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

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

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

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

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

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

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 supplied onboarding progress records (completed_steps, required_steps) to produce a duplicate key report and a secondary-measure weighted mean, using local analytical engines with no external lookups.

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.

Deduplicates onboarding progress records and sorts them numerically by completed_steps or required_steps, producing two independent analytical reports for 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.

Filters onboarding progress rows by a numeric interval on a chosen measure and computes a two-measure correlation (completed_steps vs required_steps) across up to 200 supplied rows, returning two independent analytical reports.

Sorts onboarding progress records by row order and fills missing completed_steps or required_steps values using zero, mean, or median imputation, producing 2 analytical reports for up to 200 rows.

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.

Runs three local analytical reports on onboarding progress data: a record quality audit, string normalisation, and a base-100 indexed time series for completed_steps or required_steps.

Runs two local analytical reports — string normalisation and adjacent row changes — on up to 200 onboarding progress records (completed_steps or required_steps).

Analyzes onboarding progress records (completed_steps, required_steps) to produce string normalization and category frequency reports for up to 200 rows.

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

Computes a tier-10 set operation (pack) on two input arrays, returning a tier-dependent result via a pay-per-call API on Base.

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

Analyzes a text string and returns a tier-1 analysis result, providing low-cost NLP processing for autonomous agents via x402 micropayments on Base.

Counts characters in text using T9-style tokenization, returning character-level token counts for input text up to 50,000 characters.

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

Performs tier-9 level analysis on a numeric value, returning a tier classification and tier-dependent analytical output.

Transforms input text using a tier-10 processing level via a pay-per-call x402 API on Base.

Encodes or transforms input text using a tier-10 encoding/packing algorithm via a pay-per-call x402 API on Base.

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

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

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

Counts or tokenizes lines within a text string of up to 50,000 characters, returning token/line-level breakdown data.