All Services

Checks a wallet address against SumSub/Crystal crypto risk data to assess AML risk level before an AI agent makes an x402 purchase.

Evaluates an agent's mandate and requested action to produce a risk score, risk level, and authorization flags for pre-flight clearance before execution.

Assesses the risk level and flags of a code execution action within a specified environment before an autonomous agent proceeds with execution.

Returns a sample of blockchain wallet risk records (sanctions, labels, confidence scores) from the public-wallet-risk dataset for evaluation or testing purposes.

Calculates the number of units a nonprofit must sell or produce to cover fixed costs given a price per unit and variable cost per unit.

Estimates how many months of operating runway a nonprofit has based on current cash reserves and monthly burn rate.

Calculates the commission amount and remaining balance from a sale amount and commission percentage, tailored for nonprofit financial workflows.

Calculates visitor-to-lead and lead-to-customer conversion rates tailored for nonprofit organization workflows.

Extracts unique email addresses from a block of text, optimized for nonprofit use cases.

Replaces email addresses in text with a privacy marker, tailored for nonprofit workflows.

Calculates line-item subtotals, applies a user-supplied tax rate, and returns the invoice total, tailored for nonprofit workflows.

Splits a total dollar amount across a list of percentages, tailored for nonprofit budget workflows.

Calculates absolute and percentage change between two numeric values, tailored for nonprofit reporting workflows.

Formats product features into concise, compelling product copy tailored for nonprofit organizational workflows and audiences.

Calculates MRR, ARR, and expected monthly churn for nonprofit organizations based on subscriber count, monthly price, and churn rate.

Creates a short text excerpt trimmed to a specified character limit, optimized for nonprofit communication workflows.

Extracts all unique HTTP and HTTPS links from a supplied block of text, tailored for nonprofit workflows.

Returns geographic and time zone data for a given location, served as a pay-per-call API using x402 micropayments

Returns a sample of current foreign exchange currency rates via pay-per-call API with no account or API key required

Retrieves open-access metadata and content information for a given DOI (Digital Object Identifier) via a pay-per-call API

Generates evaluation test cases for AI agent assessment and benchmarking

Downloads a Markdown-formatted reference playbook document covering public data sources and how to work with them, delivered as a paid file via x402 micropayment.

Downloads a Markdown checklist document describing how to write effective x402 pricing descriptions for pay-per-call API endpoints

Downloads the x402-service-launch-kit markdown guide — a technical reference for building and deploying pay-per-call API services using the x402 payment protocol on Base/USDC

Returns sample timezone information for a given location, delivered via pay-per-call x402 micropayment with no API key required.

Returns three World Bank WDI annual digital access indicators for Norway (or another country) across a specified year range, including latest observations and source update date.

Accepts a natural language query and returns an AI-generated answer, supporting chat, reasoning, translation, analysis, and generation tasks, billed per call in USDC on Base.

Executes a pay-per-call AI inference pipeline supporting chat, reasoning, translation, analysis, and generation, billed in USDC on Base.

Submits a batch of AI inference items (chat, reasoning, translation, analysis, generation) and returns results for each item in a single USDC-paid call.

Pay-per-call AI inference endpoint for chat, reasoning, translation, analysis, and generation, billed in USDC on Base via x402.

Accepts a natural language query and returns an AI-generated answer via a pay-per-call inference endpoint on USDC/Base.

Runs a multi-step AI inference pipeline accepting text input and returning model-generated output for chat, reasoning, translation, analysis, or generation tasks, billed per call in USDC on Base.

Runs a multi-step AI inference pipeline for chat, reasoning, translation, analysis, and text generation, billed per call in USDC on Base.

Runs multiple AI inference tasks (chat, reasoning, translation, analysis, generation) in a single batch call, billed per-call in USDC on Base.

Extracts structured data from text using AI inference, returning typed fields with a confidence score, paid per-call in USDC on Base.

Runs multiple AI inference tasks (chat, reasoning, translation, analysis, generation) in a single batch call, billed per call in USDC on Base.

Pay-per-call AI inference endpoint supporting chat, reasoning, translation, analysis, and generation via USDC micropayment on Base.

Executes a multi-step AI pipeline for chat, reasoning, translation, analysis, or generation, billed per call in USDC on Base.

Runs pay-per-call AI inference on text prompts with optional image or audio inputs, returning model-generated analysis or content via USDC payment on Base.

Pay-per-call AI inference endpoint that accepts a prompt and returns generated text, reasoning, translation, or analysis results via USDC micropayment on Base.

Returns real-time order statistics and budget analytics from the Russian freelance marketplace fl.ru, broken down by category

Returns a curated list of trending topics filtered by region and time window, paid per-call via x402 on Base with USDC.

Computes adjacent row changes and an equal-width histogram for null coverage data (missing_values, total_values) across up to 200 supplied rows.

Analyzes null coverage data by computing adjacent row-to-row changes and filling missing values using zero, mean, or median imputation across up to 200 rows.

Runs two independent analytical reports on null coverage data — adjacent row change detection and keyed dataset comparison — for up to 200 rows of missing/total value records.

Analyzes null coverage records by computing adjacent row changes and two-measure correlation across up to 200 rows of missing_values and total_values data.

Computes a Base-100 index series and an equal-width histogram for null coverage data (missing_values, total_values) across up to 200 supplied rows, returning two analytical reports.

Computes a Base-100 indexed time series and fills missing values (zero, mean, or median) for supplied null-coverage records, producing 2 analytical reports for up to 200 rows.

Computes base-100 indexed null coverage trends and compares two keyed datasets for missing/total value patterns across up to 200 rows using local analytical engines.

Computes a base-100 index series and a two-measure Pearson/rank correlation report for null coverage data (missing_values and total_values) supplied in up to 200 rows.

Computes category frequencies and adjacent row changes for null coverage records (missing_values, total_values) across up to 200 rows using local analytical engines.

Analyzes null coverage records (missing_values, total_values) to produce category frequency distributions and a base-100 indexed time series for up to 200 rows.

Analyzes null coverage records (missing_values, total_values) to produce two reports: category frequency counts and a daily sum time series, for up to 200 rows.

Analyzes null/missing value coverage records to produce two reports: category-level frequency counts and a date-by-category pivot table, for up to 200 rows.

Generates two local analytical reports — category frequency counts and an equal-width histogram — for supplied null coverage data (missing_values, total_values) across up to 200 rows.

Computes category frequencies and fills missing values (via zero, mean, or median) for null-coverage records supplied as row data, producing two local analytical reports.

Analyzes null coverage records by computing category frequencies for dataset_group and filtering rows by a numeric interval on missing_values or total_values — returning two local analytical reports for up to 200 rows.

Analyzes null/missing-value coverage records by computing category frequencies across dataset groups and Pearson correlation between missing_values and total_values, returning two independent analytical reports for up to 200 rows.

Computes two local analytical reports (daily sum series and adjacent row changes) on user-supplied null coverage records (missing_values, total_values) for up to 200 rows.

Runs two offline analytical reports on null-coverage data: a daily sum time series and a base-100 rebase series, for up to 200 rows of missing/total value records.

Computes a daily sum time series and IQR-based outlier flags for null coverage data (missing_values and total_values) supplied by the caller, returning two analytical reports for up to 200 rows.

Analyzes null/missing value coverage records by producing a daily sum time series and a keyed dataset comparison across up to 200 rows in two independent reports.

Analyzes user-supplied null coverage records (missing_values, total_values) to produce a duplicate key report and a daily sum series, using local analytical engines with no external lookups.

Generates two local analytical reports — a duplicate key report and an equal-width histogram — for supplied null coverage records containing missing_values and total_values fields, for up to 200 rows.

Generates two local analytical reports for null coverage data: a duplicate row_id detection report and an explicit missing-value fill (zero, mean, or median) for up to 200 rows.

Runs two local analytical reports on null-coverage data — a duplicate key report and a grouped numeric summary — for up to 200 rows of missing_values/total_values records.

Analyzes up to 200 rows of null-coverage data (missing_values, total_values) to produce a duplicate key report and a secondary-measure weighted mean in a single call.

Analyzes up to 200 null-coverage records to produce a duplicate key report and a two-measure Pearson/rank correlation between missing_values and total_values.

Generates two analytical reports — an equal-width histogram and a date-by-category pivot — for null coverage data (missing_values, total_values) supplied by the caller, for up to 200 rows.

Generates an equal-width histogram of null coverage data and fills missing values (zero, mean, or median) for up to 200 supplied rows, returning 2 analytical reports.

Generates an equal-width histogram and IQR-based outlier flags for null coverage data (missing_values or total_values) across up to 200 supplied rows, returning 2 independent analytical reports.

Runs two local analytical reports on null coverage data — an equal-width histogram and a keyed dataset comparison — for up to 200 rows of missing/total value records.

Computes an equal-width histogram and a two-measure correlation report for supplied null coverage data (missing_values, total_values) across up to 200 rows.

Analyzes up to 200 null-coverage records (missing_values, total_values) to produce two reports: exact row deduplication and adjacent row change detection.

Analyzes supplied null coverage records (missing_values, total_values) by performing exact row deduplication and generating a base-100 indexed time series report.

Runs two local analytical reports on null-coverage data: exact row deduplication and category frequency distribution, for up to 200 rows per call.

Analyzes up to 200 null-coverage records by performing exact row deduplication and a date-by-category pivot on missing_values or total_values fields, returning two independent analytical reports.

Deduplicates exact rows and generates a grouped numeric summary report for null coverage records containing missing_values and total_values fields, processing up to 200 rows offline.

Deduplicates exact rows and flags IQR-based outliers in null coverage data (missing_values, total_values) for up to 200 supplied records, returning 2 independent analytical reports.

Deduplicates rows and compares two null-coverage datasets (missing_values, total_values) using local analytical engines, returning two independent reports for up to 200 rows.

Deduplicates rows and computes secondary-measure weighted mean for null coverage records (missing_values, total_values) across up to 200 rows, producing 2 analytical reports.

Analyzes null coverage data (missing_values, total_values) by producing grouped numeric summaries and category frequency reports for up to 200 rows across two independent analytical reports.

Generates two local analytical reports — a grouped numeric summary and a daily sum series — for null coverage (missing_values, total_values) row data, up to 200 rows.

Generates two local analytical reports (grouped numeric summary and date-by-category pivot) for null/missing-value coverage data supplied by the caller.

Computes grouped numeric summaries and fills missing values (zero/mean/median) for null coverage records across up to 200 rows, delivering two analytical reports per call.

Computes grouped numeric summary statistics and IQR-based outlier flags for null coverage data (missing_values, total_values) across up to 200 rows, producing 2 independent analytical reports.

Runs two analytical reports on null coverage data: a grouped numeric summary by category and a row-keyed comparison between two datasets, analyzing missing_values and total_values fields across up to 200 rows.

Computes a grouped numeric summary and applies a numeric interval filter on supplied null coverage records (missing_values, total_values) for up to 200 rows, returning 2 analytical reports.

Computes grouped numeric summaries and secondary-measure weighted means for null coverage data (missing_values, total_values) across up to 200 rows, returning two independent analytical reports.

Analyzes up to 200 null-coverage records (missing_values, total_values) and returns two local analytical reports: IQR-based outlier flags and a date-by-category pivot table.

Detects IQR-based outliers and fills missing values in null coverage records (missing_values, total_values) for up to 200 rows, returning two analytical reports per call.

Runs two local analytical reports — numeric distribution and adjacent row changes — on null coverage data (missing_values, total_values) for up to 200 rows.

Computes numeric distribution statistics and a base-100 indexed series for supplied null coverage data (missing_values and total_values fields) across up to 200 rows.

Generates two local analytical reports (numeric distribution and daily sum time series) for null coverage data (missing_values, total_values) across up to 200 rows.

Analyzes null coverage records (missing_values, total_values) to produce two reports: a numeric distribution and a date-by-category pivot, for up to 200 rows using local analytical engines.

Computes numeric distribution statistics and an equal-width histogram for user-supplied null coverage records (missing_values and total_values fields), returning two analytical reports for up to 200 rows.

Computes a numeric distribution report and a grouped numeric summary for up to 200 rows of null-coverage data (missing_values, total_values) using local analytical engines.

Analyzes null coverage records (missing_values, total_values) to produce two reports: a numeric distribution analysis and a keyed dataset comparison between two supplied datasets, for up to 200 rows each.

Computes a numeric distribution and an interval-filtered report for null coverage data (missing_values, total_values) across up to 200 rows, returning 2 independent analytical reports.

Computes numeric distribution statistics and a secondary-measure weighted mean for up to 200 null coverage records containing missing_values and total_values fields.