All Services

Generates long-form written content from input text with a specified tone and style

Finds nearby accommodation options based on location, type, and radius

Retrieves detailed information about a specific hotel or accommodation property by its unique identifier

Generates code in a specified programming language from a natural language text description using an LLM

Performs a DNS query for a given domain and record type, returning DNS resolution data

Distills and condenses a block of text into a shorter, more focused summary or extract

Finds nearby accommodation options of a specified type within a given radius of a location

Fetches current cryptocurrency prices for one or more coins in specified fiat or crypto currencies via the Orbonomy unified API platform

Sends a text prompt to an LLM reasoning engine and returns an AI-generated response via pay-per-call x402 protocol

Generates structured LLM output from a prompt, returning results conforming to a caller-supplied JSON schema

Translates text from one language to another using LLM-powered translation via the Orbonomy unified API platform

Generates structured LLM output in a specified format given a prompt and a JSON schema defining the desired response shape

Fetches a specified number of news articles on a given topic via pay-per-call

Distills and condenses long-form text into a shorter, essential summary or extract

Fetches a specified number of news articles on a given topic via pay-per-call POST request

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

Rewrites and paraphrases a given text in a specified style using pay-per-call AI content transformation

Generates a multi-day accommodation and travel itinerary based on destination, budget, interests, and trip duration

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

Verifies factual claims in a query string and returns a fact-check result

Returns a paid decision-procedure brief that sequences pre-payment conformance grading, expired-challenge re-probe, and failure classification into one end-to-end grade-pay-recover flow for a single x402 merchant call.

Validates a CSV file of order import data and identifies blank or empty rows, returning a structured blank-row report.

Validates calendar date fields in an order import CSV file (up to 1000 rows), checking for date format correctness and range compliance.

Validates cell length constraints in an order-import CSV file, checking that each cell falls within specified length bounds across up to 1000 rows.

Validates a declared CSV column contract for order import data (up to 1000 rows), checking structure, types, and value constraints without external enrichment.

Validates a CSV of order import data and identifies exact row duplicates, returning a structured duplicate report.

Validates an order CSV file against a declared table contract and returns a report of all invalid rows (up to 1000 rows)

Validates an order-import CSV file and returns a located error report identifying cell-level issues across up to 1000 rows.

Validates that numeric columns in an order import CSV contain properly typed values, returning a per-column type check report for up to 1000 rows.

Validates that all record keys in an order imports CSV are unique, returning a uniqueness report for up to 1000 rows.

Validates that all required cells in an order import CSV are present and non-empty, checking up to 1000 rows for completeness against declared column contracts.

Validates and type-converts a CSV table of order import data (up to 1000 rows), returning a trimmed typed conversion report with field-level validation.

Validates a CSV table of order import data (up to 1000 rows) and returns a structured validation summary report covering format, ranges, and category constraints.

Computes a base-100 rebase index for order-line picking rate (picked order lines per labour hour) across a series of retail data rows, up to 200 records.

Computes a benchmark correlation report for retail order-line picking rate data, comparing supplied labour hours and picked order lines against benchmark values.

Generates a bounded distribution histogram of order-line picking rates (picked order lines per labour hour) from up to 200 supplied retail records, using a configurable number of bins.

Computes a statistical distribution summary for order-line picking rate (picked order lines per labour hour) across up to 200 supplied retail warehouse records.

Identifies statistical outliers in warehouse order-line picking rate data using Interquartile Range (IQR) analysis, returning flags for up to 200 records.

Computes a bounded local finite-change elasticity report for order-line picking rate given retail baseline figures and a step percentage.

Generates a one-input sensitivity table for order-line picking rate given varying picked order lines or labour hours against a baseline scenario.

Fits a descriptive straight-line trend to a time-ordered series of order-line picking rate observations (picked order lines per labour hour) for retail warehouse analytics.

Ranks up to 200 retail records by order-line picking rate (picked order lines per labour hour) and returns a bounded ranking report.

Calculates the gap between actual order-line picking rate and a specified target, given picked order lines and labour hours.

Classifies retail order-line picking rate records as above, within, or below user-defined thresholds, returning a bounded classification report for up to 200 rows.

Generates a two-input scenario grid (sensitivity table) for order-line picking rate using supplied picked order lines and labour hours values.

Computes a weighted mean of order-line picking rate (picked order lines per labour hour) across up to 200 supplied retail data records.

Analyzes sentiment across a batch of social media posts using AI, returning sentiment classifications for multiple posts in a single call

Returns historical and statistical weather extreme data (records, anomalies, min/max conditions) for a given location

Returns cryptocurrency market capitalization data for the broader crypto market, priced at $0.01 USDC per call via x402 payment protocol

Synthesizes and summarizes news content on a given topic using AI, delivered via x402 micropayment protocol

Returns stock market data for a given stock symbol listed on India's NSE or BSE exchanges

Looks up nutritional information for a given food item by name, returning dietary data via microtransaction-gated API.

Returns macroeconomic indicator data for African countries via a pay-per-call x402 micropayment endpoint

Returns global macroeconomic indicators and data for countries and regions worldwide

Returns current bond yield data for fixed-income securities via a micropayment-gated API endpoint

Returns stock market data for a given JSE (Johannesburg Stock Exchange) listed company by symbol, paid via x402 microtransaction protocol

Returns earthquake data (seismic event records) via a micropayment-gated REST endpoint using the x402 protocol

Returns current air quality data for a given location, delivered via the x402 micropayment protocol

Looks up company registry data for a given company name, returning business registration and profile information

Retrieves scientific literature data and research findings for a given topic via micropayment-gated API

Analyzes market data or descriptions using AI to identify patterns, trends, and insights

Retrieves economic indicator data for Pakistan by indicator name, served via the x402 micropayment protocol

Performs a web search query via SearXNG and returns a list of ranked results

Submits a completed quest entry for an agent on the OriginDAO trust-gated economy, recording the submission hash on Base mainnet

Mints an on-chain AI agent Birth Certificate on Base mainnet by running the agent through an adversarial trust gauntlet, scoring its traits and issuing a reputation NFT on pass

Runs a preflight safety check on a Base wallet or contract address before an AI agent commits funds to a job escrow, returning a risk score, verdict (PASS/WAIT/FAIL), blocking flags, and the recommended next safety call.

Evaluates repeat-purchase safety for Virtuals/x402 agent payments by checking CINT RHC Pulse holder tiers, USDC creator-payout evidence, cbBTC context, and provider trust to return a PASS/WAIT/FAIL verdict with a risk score.

Returns a PASS/WAIT/FAIL risk verdict for a Base wallet or token address before Virtuals agent payments, USDC creator payouts, or cbBTC-related swaps, using live CINT RHC Pulse holder tiers and provider trust checks.

Checks slippage risk, price impact, liquidity depth, route safety, and execution risk for a Base token swap before it is submitted

Analyzes Base chain transaction calldata before signing to detect unsafe execution context, price impact, liquidity risk, honeypot warnings, and execution danger.

Returns the Korea vs global BTC/crypto kimchi premium spread and trading signal for cross-market arbitrage decisions.

Analyzes a swap quote on Base for slippage danger, thin liquidity, price impact, fake liquidity, and unsafe memecoin execution before the user signs

Returns a wallet exposure and portfolio risk snapshot including unsafe token concentration, suspicious counterparties, and a recommended next API call for transaction safety checks.

Assesses how much a general-purpose AI agent lowers the barrier for an attacker to reach a vendor's OT/ICS-adjacent footprint, returning a tiered exposure verdict grounded in ICS threat intelligence.

Aggregates metadata and service discovery for 64 pay-per-call AI endpoints covering market intelligence, DeFi execution, and AI creative tools on x402 V2

Reconciles x402 payment call logs against success outcomes to compute amortized true inference cost per successful agent transaction, attributing waste from retries and failures to their originating successful outcome.

Analyzes ownership record completeness data by computing adjacent row changes and an equal-width histogram for up to 200 rows of documented/required link counts.

Analyzes ownership record completeness data (documented_links, required_links) by computing adjacent row changes and IQR-based outlier flags across up to 200 supplied rows, returning two independent analytical reports.

Analyzes ownership record completeness data (documented_links vs required_links) by computing adjacent row changes and two-measure correlation across up to 200 rows in two bundled reports.

Computes a base-100 index series and fills missing values for ownership record completeness data (documented_links vs required_links), producing two analytical reports for up to 200 rows.

Computes a Base-100 indexed time series and IQR-based outlier flags for ownership record completeness metrics (documented_links and required_links) across up to 200 rows, producing two analytical reports.

Computes a Base-100 index series and a secondary-measure weighted mean for ownership record completeness data (documented_links vs required_links) across up to 200 rows.

Computes a Base-100 index series and a two-measure correlation report for ownership record completeness data (documented_links vs required_links) across up to 200 rows.

Analyzes ownership record completeness data by computing category frequencies and a daily sum time series for documented_links and required_links fields across up to 200 rows.

Runs two local analytical reports on ownership record completeness data: category frequency distribution and a date-by-category pivot table, for up to 200 rows.

Analyzes ownership record completeness data (documented_links, required_links) by generating category frequency counts and an equal-width histogram for up to 200 rows.

Analyzes ownership record completeness data (documented_links, required_links) to produce category frequency distributions and IQR-based outlier flags for up to 200 rows across 2 independent reports.

Analyzes ownership record completeness data (documented_links vs required_links) by running two local analytical reports: category frequency distribution and keyed dataset comparison across up to 200 rows.

Analyzes ownership record completeness data (documented_links, required_links) by computing category frequency distributions and a trailing mean time series, returning two independent statistical reports for up to 200 rows.

Analyzes ownership record completeness data by computing category frequencies and Pearson/Spearman correlation between documented_links and required_links across up to 200 supplied rows.

Computes daily sum time series and base-100 indexed series for ownership record completeness metrics (documented_links and required_links) from user-supplied data, returning two analytical reports.

Generates two analytical reports (daily sum time series and date-by-category pivot) from supplied ownership record completeness data covering documented_links and required_links fields, for up to 200 rows.

Computes a daily sum time series and an equal-width histogram for ownership record completeness fields (documented_links or required_links) across up to 200 supplied rows.

Computes daily sum time series and fills missing values (zero, mean, or median) for ownership record completeness fields (documented_links, required_links) across up to 200 rows, returning two analytical reports.

Computes a daily sum time series and a keyed dataset comparison for ownership record completeness data (documented_links vs required_links) across up to 200 rows, returning 2 independent analytical reports.

Computes daily sum series and trailing mean series for ownership record completeness metrics (documented_links and required_links) from user-supplied row data, returning two analytical reports.

Runs two analytical reports on ownership record completeness data: a date-by-category pivot table and a keyed dataset comparison, for up to 200 rows of documented_links and required_links data.

Analyzes ownership record completeness data (documented_links, required_links) to produce a duplicate key report and a date-by-category pivot table for up to 200 rows.

Analyzes supplied ownership record completeness data (documented_links, required_links) to produce a duplicate key report and an equal-width histogram in a single call.

Analyzes up to 200 ownership record completeness rows to produce a duplicate key report and fill explicit missing values for documented_links or required_links fields.