All Services

Computes trailing mean time series and IQR-based outlier flags for received_rows and accepted_rows fields in data ingestion batch records (up to 200 rows, 2 reports per call).

Executes a paid web or data search query and returns results via the Datamancer data tooling platform

Returns translated Hearthstone card data for a given English card name in the Battlegrounds game mode context

Returns a completeness status report for the EU agri-food prices dataset, summarizing how many data checks passed, warned, or failed.

Returns the current inflation differential between the US and EU, including individual US and EU inflation rates and the computed spread.

Returns statistical market insights (including anomaly detection via z-score) for a specific commodity in a specific country using EU agri-food price data

Returns OECD economic indicators (e.g. composite leading indicators) for a specified country

Returns road accident statistics from Bulgaria's PTP dataset filtered by city, with optional date window and year filters

Returns a paginated list of all available datasets on DataNexusAI, including dataset names and row counts

Returns a paginated list of countries available in the DataNexusAI datasets, optionally filtered by dataset name.

Returns translated Hearthstone card data for Battlegrounds mode by English card name

Retrieves World Bank economic indicators (such as GDP per capita) for a specified country via a micropayment-gated API.

Returns a completeness status report for the Eurostat energy dataset, indicating pass/warn/fail counts across data quality checks.

Returns available Eurostat energy indicators (e.g. energy intensity) for a specified EU/EEA country by ISO2 code

Retrieves OECD time-series economic observations (e.g. CLI, leading indicators) for a given series code and geography, paid via USDC micropayment.

Returns statistically unusual or anomalous payment records from Bulgaria's SEBRA government payment system for a given time window or year.

Returns the current EU yield curve slope (10y-2y spread in percentage points) and the derived market regime classification (e.g. normal, inverted).

Returns Hearthstone card data filtered by class (e.g. Shaman, Mage), with optional collectibility and result-count filters.

Returns EU agri-food commodity price changes (percent changes) filtered by country and commodity, highlighting significant market movements.

Returns the most-sponsored budget programme(s) from Bulgaria's SEBRA payment register for a given time window or calendar year.

Computes a structured diff between two JSON documents, showing what changed from source to target.

Flattens a nested JSON object or array into a single-level key-value structure using a configurable path delimiter

Computes a base-100 indexed time series for data pipeline run metrics (processed rows or rejected rows) across up to 200 supplied pipeline run records.

Searches the live web for published privacy policies, data retention terms, and subprocessor lists specifically relevant to integration developers evaluating third-party services.

Searches academic literature on data quality assessment using Crossref publisher metadata, returning DOI references and source attributions.

Analyzes supplied data reconciliation records to produce two local reports: adjacent row-to-row change analysis and a date-by-category pivot table, for up to 200 rows.

Computes a base-100 indexed time series and IQR-based outlier flags for up to 200 source/target reconciliation rows, returning two analytical reports in one call.

Analyzes up to 200 reconciliation rows to produce a duplicate key report and IQR-based outlier flags for source_total or target_total values.

Runs two analytical reports on supplied reconciliation data: IQR-based outlier flagging on a chosen numeric field, and a keyed row-by-row comparison between two datasets, for up to 200 rows.

Runs three independent analytical reports (record quality audit, exact row deduplication, and daily sum series) on supplied source/target reconciliation data for up to 200 rows.

Computes trailing moving-average series and base-100 indexed series for up to 200 source/target reconciliation records, returning two analytical reports per call.

Computes a trailing mean time series and an equal-width histogram for source_total or target_total fields across up to 200 data reconciliation rows, returning both analytical reports in a single call.

Computes a trailing mean time series and flags IQR-based outliers across source_total and target_total reconciliation records, returning two analytical reports for up to 200 rows.

Generates two statistical reports — a Base-100 indexed series and an equal-width histogram — for supplied dataset partition size records (row_count or file_mb fields), using local analytical engines with no external lookups.

Analyzes dataset partition size records (row_count or file_mb) by generating category frequency counts and an equal-width histogram in a single call.

Computes daily sum series and trailing mean series for dataset partition size metrics (row_count or file_mb) from up to 200 supplied records, returning two independent analytical reports.

Analyzes dataset partition size records (row_count, file_mb) by generating an equal-width histogram and a date-by-category pivot table in a single API call.

Generates an equal-width histogram and IQR-based outlier flags for up to 200 dataset partition size records (row_count or file_mb), returning two independent analytical reports.

Runs exact row deduplication and equal-width histogram analysis on up to 200 dataset partition size records (row_count or file_mb), returning two independent analytical reports.

Runs three independent analytical reports (record quality audit, exact row deduplication, and equal-width histogram) on user-supplied dataset partition size records containing row counts and file sizes.

Computes a trailing mean time series and an equal-width histogram for up to 200 dataset storage records (used_mb or row_count), returning two analytical reports in one call.

Detects IQR-based statistical outliers in data validation result records (checked/failed record counts) across rules and dates

Retrieves metadata and details for a given npm package by name

Converts input text into a concise bullet-point list using AI-powered text processing

Validates an IP address and returns structured information about its validity and associated metadata

Returns real-time flight status and details for a given flight number

Simplifies complex text to a target reading level using AI-powered text processing

Fetches real-time or recent stock market data for a given ticker symbol

Fetches random or breed-specific dog images by breed name and count

Search and retrieve live news articles by keyword query, category, and language

Translates text from one language to another using AI-powered text processing, with optional source language specification.

Submits code for AI-powered review, returning analysis of issues, best practices, and improvements for a given language and focus area.

Checks and corrects grammar in a given text using AI-powered text processing

Returns current weather data for a given city or geographic coordinate pair

Validates a phone number and returns metadata about its format, type, and country of origin

Summarizes arbitrary text input into a concise summary using AI-powered text processing, with optional style and length controls

Fetches metadata and details for a specified GitHub repository given an owner and repo name.

Generates one or more random passwords with configurable length and character set options including numbers, symbols, lowercase, and uppercase.

Downloads a probe-tier dataset of market pricing change signals, paid per-call via USDC using the x402 protocol, returning up to 5 curated items with provenance.

Returns the dependency changes between two releases of the npm package dayjs, supporting custom version ranges for upgrade planning.

Calculates adjacent-period differences and percent changes for Days Inventory Outstanding (DIO) across a sequence of supplied financial observations.

Rebases calculated Days Inventory Outstanding (DIO) values against a chosen base observation, returning a Base-100 index series with formula, units, and limitations.

Summarises up to 200 Days Inventory Outstanding (DIO) observations into a statistical distribution report with quantiles and population standard deviation.

Applies up to 20 named override scenarios to a baseline Days Inventory Outstanding (DIO) calculation and returns a structured comparison report with formula, units, and limitations.

Ranks up to 200 supplied records by their calculated Days Inventory Outstanding (DIO) value, preserving row indices and returning formula, units, and limitations.

Computes a waterfall attribution of how changes in period_days, cost_of_sales, and average_inventory each incrementally affect Days Inventory Outstanding (DIO), stepping through inputs in declared field order.

Calculates Days Inventory Outstanding (DIO) from supplied figures and measures the result against a user-provided numeric target, returning a gap report in JSON.

Classifies up to 200 Days Inventory Outstanding (DIO) calculated values against user-supplied inclusive lower and upper bounds, returning a JSON report with formula, units, and limitations.

Compares two sets of Days Payables Outstanding (DPO) figures, reporting absolute and relative changes between a before and after period.

Bins up to 200 Days Payables Outstanding (DPO) observations into equal-width histogram buckets, returning bin edges, counts, formula, units, and limitations.

Summarises up to 200 calculated Days Payables Outstanding (DPO) observations into a statistical distribution report with quantiles and population standard deviation.

Runs a one-input sensitivity analysis on Days Payables Outstanding (DPO), varying one input (average payables, credit purchases, or period days) across up to 50 values while holding other inputs fixed.

Ranks up to 200 supplier records by their calculated Days Payables Outstanding (DPO) value, returning a sorted JSON report with formula, units, and limitations.

Calculates how each input change (average payables, credit purchases, period days) incrementally affects Days Payables Outstanding (DPO) by stepping through inputs one at a time in declared order, producing a waterfall attribution report.

Calculates Days Payables Outstanding (DPO) for one supplied record using the standard formula, returning JSON with the result, formula, units, and limitations.

Calculates up to 100 combinations of two DPO input variables (average payables, credit purchases, period days) and returns a scenario grid with formula, units, and limitation notes.

Calculates Days Sales Outstanding (DSO) for up to 200 supplied records in a single batch, flagging invalid rows and returning the formula, units, and limitations.

Summarises up to 200 DSO observations into a quantile and population-standard-deviation distribution report, returning JSON with formula, units, and limitations.

Computes the local finite-change elasticity of Days Sales Outstanding (DSO) with respect to a specified input variable, showing how DSO responds to a small percentage change in that input.

Computes Days Sales Outstanding (DSO) for a baseline and up to 20 named override scenarios, returning a comparative JSON report with formula, units, and limitations.

Ranks up to 200 records by their calculated Days Sales Outstanding (DSO) value, returning ranked indices with the formula, units, and limitations.

Calculates trailing full-window rolling means of Days Sales Outstanding (DSO) across an ordered series of observations, returning results with formula, units, and limitations.

Calculates Days Sales Outstanding (DSO) for a single set of supplied figures, returning the formula, result, units, and limitations in JSON.

Classifies up to 200 Days Sales Outstanding (DSO) values against user-supplied inclusive lower and upper bounds, returning JSON with formula, units, and limitations.

Computes up to 100 combinations of two DSO input variables (average receivables, net credit sales, period days) to generate a stress-test scenario grid with formula, units, and limitations.

Calculates how many days a person has lived and returns their current age and sequential day number from a given birthdate

Evaluates agent inputs for jailbreaks, prompt injection attempts, and instruction conflicts before execution

Scans npm packages for security, vulnerability, and dependency risk signals and returns a bounded risk assessment report

Generates a standardized, Ed25519-signed run receipt for an agent tool call, binding a flat 8-field receipt to a payment/artifact block from a .tine artifact or raw run record.

Pre-share audit of an artifact for credential leakage: scans step/metadata bytes for credential-shaped data, detects v2 step-id pre-redaction gaps, checks secret-named field coverage, and returns a safe_to_share verdict.

Provides machine-payable LLM chat completions via x402 or direct-crypto payment rails, returning bounded AI-generated responses for agent use cases.

Recomputes per-step catalog pricing for an AI artifact and flags overbilling variances, unpriced steps, and per-provider cost totals.

Executes allowlisted read-only JSON-RPC calls against the Base blockchain via a micropayment-gated POST endpoint

Verifies the authenticity and provenance of an image using C2PA (Coalition for Content Provenance and Authenticity) standards

Retrieves execution traces for all transactions in a specified Ethereum block

Analyzes Buy Now Pay Later (BNPL) debt across Klarna, Afterpay, Affirm, and Zip — returning true APR, platform-specific risks, and a personalized escape strategy.

Returns a comprehensive debt-burden assessment including danger flags and priority actions for a consumer's full debt profile

Returns ready-to-send FCRA dispute letters, step-by-step credit bureau dispute process instructions, and escalation paths tailored by country

Returns a prioritized debt elimination plan including debt-to-income ratio, recommended relief approach, and ranked relief options for a given debt profile

Returns a dispute strategy, negative-item analysis, and credit repair timeline tailored by country for credit and debt-relief agents.