All Services

Rounds an array of numeric values according to configurable precision and scaling options

Normalizes whitespace in a text string, collapsing or standardizing spacing, tabs, and line breaks.

Merges up to 100 JSON objects into a single combined object using shallow merge semantics.

Applies a linear scale transformation to an array of numeric values, mapping them to a new range with optional rounding and offset.

Extracts email addresses from a block of plain text up to 50,000 characters

Extracts and normalizes ISO-format dates from arbitrary text up to 50,000 characters using a T5 model.

Extracts and returns clean text content from URLs embedded within a provided text string, up to 50,000 characters.

Decodes a Base64-encoded string and returns the original plain text

Computes the difference between two arrays, returning elements present in the first array but not in the second.

Clamps an array of numbers to specified min/max bounds, with optional scaling, offsetting, rounding, and digit precision controls.

Reverses the order of elements in a JSON array, with optional size and offset parameters.

Extracts all hashtags from a given text input, returning a structured list of discovered hashtag tokens.

Removes blank lines from a block of text, normalizing whitespace by stripping empty lines.

Normalizes line endings in text, converting mixed or non-standard newline sequences to a consistent format.

Rounds an array of up to 1000 numeric values to a specified number of decimal digits, with optional scaling, clamping, and offset transformations.

Extracts the top 10 domains mentioned or referenced within a given text input.

Splits input text into individual sentences using token-level analysis, returning a list of sentence tokens extracted from the provided text.

Fetches recent ecommerce, retail, payments, and consumer behavior news articles curated for startup founders, with publisher links and publication dates.

Refreshes an existing Ontario provider listing profile, re-running HTTP 402 readiness checks, Coinbase Bazaar retrieval, and agent-payment-policy validation to diagnose why agents aren't buying a given x402 API.

Calculates the on-time dispatch share (percentage) for a retail operation given total dispatches and on-time dispatches.

Submit a paid bid to rank a URL on the OnTopX402 leaderboard — higher bids earn higher placement, and repeated bids on the same URL accumulate.

Returns an LLM-generated prose decision procedure brief for AI agents needing to evaluate or handle opaque or unverifiable settlement proofs in x402 payment flows

Runs GPT-5.6-Terra chat completions with up to 272K input tokens, billed per call in USDC via x402 protocol with configurable speed/cost tiers

Audits a public OpenAPI 3.x JSON or YAML document and returns prioritized contract findings, a quality score, a Markdown handoff, and a read-only pytest scaffold.

Returns the first buyers (wallet addresses, timestamps, and transaction IDs) for a given token at launch

Fetches recent news and reporting about open source releases, governance, funding, and licensing tailored for software builders, with publisher links and publication dates.

Fetches recent news articles about open-source releases, governance, funding, and licensing, curated for startup founders with publisher links and publication dates.

Searches live public web pages for information about open source license obligations relevant to developers, returning source links and snippets.

Searches live Bing web results to find public open-source repositories and project pages relevant to research teams.

Performs static analysis on Solidity smart contract code to detect security vulnerabilities and code quality issues

Computes the Keccak-256 cryptographic hash of a given input, commonly used in Ethereum and blockchain applications

Retrieves photo details for a local business listing, including image URLs and metadata

Computes period-over-period differences and percent changes in operating margin across a sequence of supplied financial observations.

Rebases a series of calculated operating margin observations to a base value of 100, anchored at a specified index position, returning indexed values with formula and units.

Measures how operating margin responds to a small percentage change in one specified input (operating profit or revenue) using a local finite-change elasticity approximation.

Fits a descriptive linear trend line to a sequence of up to 200 operating margin observations and returns the formula, units, and limitations as JSON.

Calculates the gap between a company's computed operating margin and a user-supplied numeric target, returning the formula, units, and limitations in JSON.

Calculates operating margin across up to 100 combinations of two input variables (operating profit and/or revenue) and returns a scenario grid with formula, units, and invalid-combination flags.

Calculates and reports adjacent-period differences and percent changes for operating profit across a series of supplied financial data rows.

Rebases a series of operating profit values against a chosen base observation, returning index-100 scaled values with formula, units, and limitations.

Flags operating profit observations that fall beyond 1.5× the interquartile range, returning a JSON report with formula, units, and limitations.

Computes the local finite-change elasticity of operating profit with respect to a specified input variable (revenue, cost of sales, or operating expenses) given baseline financials and a small percentage step.

Fits a descriptive straight-line (OLS) trend to a sequence of up to 200 equally-spaced operating-profit observations and returns the formula, units, and limitations — no forecast, no live data.

Ranks up to 200 supplied business records by calculated operating profit, returning results sorted by value with formula, units, and limitations metadata.

Calculates trailing full-window rolling means over a sequence of operating profit observations, preserving gaps for invalid rows, and returns results with formula, units, and limitations.

Calculates operating profit from supplied financials and measures the gap between the computed result and a user-supplied numeric target, returning a structured JSON report.

Classifies up to 200 calculated operating profit values against user-supplied inclusive lower and upper bounds, returning a JSON report with formula, units, and limitations.

Calculates a weighted mean of operating profit across up to 200 supplied data rows using user-defined nonnegative weights.

Evaluates absorption spectrum observations against a declared band-gap model (direct or indirect allowed) over a specified fit window to audit the quality of the fit.

Returns forecast data for a specified date from the NPB (Nippon Professional Baseball) oracle service.

Provides a paid AI oracle consultation returning a structured wisdom envelope with verdict, implementation prompt, risk assessment, citations, and payment receipt.

Returns a Markdown-formatted daily report of Bitcoin-macro oracle signals, expired verdicts, and scoring metrics (Brier score, calibration) for the current UTC date.

Returns recent reported cash and cash-equivalent balance history for Oracle Corporation (ORCL) sourced from SEC EDGAR filings.

Returns Oracle Corporation's (ORCL) recent reported operating income figures sourced from SEC EDGAR public filings.

Retrieves a list of recent SEC filing forms and filing dates for Oracle (ORCL) using SEC EDGAR public submissions data.

Returns Oracle's (ORCL) recent reported research and development expense figures sourced from SEC EDGAR public submissions and company-facts APIs.

Returns Oracle Corporation's recent reported total liabilities figures extracted from SEC EDGAR filings

Returns WHOIS registration data for a given domain name, including registrant, registrar, and expiry information.

Returns WHOIS registration data for a given domain name via a pay-per-call POST endpoint

Summarizes a block of text into a concise summary using an AI language model, billed per call via x402 protocol.

Rewrites a given text in a specified style using AI-powered paraphrasing

Performs DNS record lookups for a given domain, returning structured DNS query results by record type.

Extracts specified structured fields from free-form text using LLM, returning them in a requested format

Searches for fact-checking results and claim verification data for a given query string, returning a ranked list of fact-check findings.

Performs a WHOIS lookup for a given domain name and returns registration and ownership information

Returns a multi-day weather forecast for a given geographic coordinate using latitude, longitude, and number of forecast days

Fetches real-time cryptocurrency price data for one or more coins against specified fiat or crypto currencies

Rewrites a piece of text in a specified tone while preserving its core meaning

Extracts structured fields from unstructured text using LLM-based parsing, returning specified fields in a chosen format

Fetches current cryptocurrency prices for one or more coins in specified fiat or crypto currencies

Searches and returns fact-check results for a given query, returning a limited set of verified claims or fact-check articles.

Translates text from one language to another using an LLM-powered translation endpoint via pay-per-call API

Returns a fact-checked summary of a given topic in a specified language

Performs a WHOIS domain registration lookup for a given domain name, returning registration and ownership data.

Fetches current cryptocurrency prices for one or more coins against one or more fiat or crypto currencies

Rewrites a piece of text in a specified tone (e.g. formal, casual, persuasive) while preserving the original meaning.

Rewrites a piece of text in a specified tone (e.g. formal, casual, professional, friendly) while preserving the original meaning.

Send a sequence of messages to an LLM and receive a chat completion response, billed per call via x402 protocol.

Rewrites a given text in a specified tone (e.g. formal, casual, persuasive) while preserving core meaning

Rewrites a given text in a specified tone (e.g. formal, casual, persuasive) while preserving its core meaning

Performs a WHOIS lookup for a given domain name, returning registration and ownership information.

Extracts structured fields from unstructured text using LLM-powered parsing, returning user-specified fields in a chosen format

Runs LLM chat completions (GPT, Llama, Qwen, Gemma) with built-in agent tools (web-read, email-verify, token-check) via x402 per-call USDC micropayment on Base.

Returns a real-time scan of notable market movers with AI-generated reasons for their price action, paid per-call via x402 microtransaction.

Extracts ordered list (<ol>) HTML fragments from a public webpage or supplied HTML by matching element attributes and search terms

Validates that all category values in an uploaded order CSV belong to a declared allowlist, returning a compliance report for up to 1000 rows.

Computes per-column statistics for an uploaded order import CSV, validating structure and data distribution up to 1000 rows.

Validates an order-import CSV (up to 1000 rows) against a declared contract, checking structure, values, and categories without external enrichment.

Validates a CSV file's header contract for order import data, checking column names, types, and value constraints against a declared schema for up to 1000 rows.

Validates numeric values in an order imports CSV file, checking that all numeric cells fall within a specified minimum/maximum range and reporting any violations.

Validates a CSV table of order import data and flags any cells containing spreadsheet formula injections (e.g. cells starting with =, +, -, @).

Computes adjacent period changes in order-line picking rate (order lines picked per labour hour) across up to 200 supplied retail data rows.

Calculates order-line picking rate (picked order lines per labour hour) for up to 200 retail records in a single batch call.

Computes and compares the order-line picking rate (lines picked per labour hour) between two time periods, returning a bounded before-and-after report.

Compares up to 20 named scenarios against a baseline order-line picking rate (lines picked per labour hour) and returns a bounded comparison report.

Computes a rolling mean of order-line picking rates (order lines picked per labour hour) over a supplied retail dataset of up to 200 records.

Calculates the order-line picking rate (lines picked per labour hour) from supplied picked order lines and labour hours inputs.

Analyzes a contract or legal text input and returns an AI-generated risk assessment

Searches CVE vulnerability database by keyword and returns matching vulnerability records

Returns stock data for a given symbol listed on Brazil's B3 (Bovespa) exchange