All Services

Validates and converts a CSV table of energy meter import records (up to 1000 rows) into a trimmed, typed report with category filtering and numeric range checks.

Validates a CSV table of energy meter import records (up to 1000 rows) and returns a structured validation summary report.

Validates a CSV table of energy meter import records for whitespace issues, checking up to 1000 rows with configurable delimiters and cell constraints.

Computes adjacent row-to-row differences (period changes) for energy reading records (kWh or cost) across up to 200 supplied data points

Computes a base-100 indexed series from up to 200 energy meter records (kWh or cost), normalizing all values relative to a chosen base row.

Counts how often each category appears across energy reading records (meter, date, etc.) for up to 200 rows of consumption data.

Computes daily sum aggregations (kWh or cost) across energy meter readings grouped by date, returning a bounded time-series of up to 200 records.

Identifies duplicate composite keys (meter + date combinations) across a batch of up to 200 energy reading records

Removes exact duplicate rows from a batch of up to 200 energy meter readings, returning only unique records based on all typed fields.

Compares two keyed sets of energy reading records (kWh and cost by meter and date) and returns numeric and data-quality comparison results.

Sorts up to 200 energy reading records by a numeric field (kWh or cost) and returns them in ordered sequence.

Computes a secondary-measure weighted mean (e.g. cost-weighted kWh or kWh-weighted cost) across up to 200 energy meter readings, returning a single weighted average value.

Normalises string fields (meter identifiers, dates) in energy meter reading records, returning cleaned and standardised data for up to 200 rows.

Computes the statistical correlation between kWh consumption and cost across up to 200 dated energy meter readings

Fetches recent news articles about renewable energy grid batteries and storage, curated specifically for platform operators, with publisher links and publication dates.

Retrieves recent news articles about renewable energy grid batteries and storage, curated for product teams with publisher links and publication dates.

Retrieves recent news articles about renewable energy grid batteries and storage, tailored for research teams, with publisher links and publication dates.

Returns a paid AI-generated decision procedure brief explaining how to build and maintain an enterprise-grade attribution trail for settled x402 agent payments on Base.

Fetches queued messages from an ephemeral conduit channel identified by a variable key

Randomly selects one option from a provided list of choices, returning a single decision string

Retrieves queued messages from an ephemeral conduit channel by ID, returning payloads with timestamps and a pagination cursor

Retrieves previously stored ephemeral content from ENTROPY.RIP's transient storage by codename/URN identifier

Publishes a payload to a named conduit channel, returning a timestamp and message ID for the published message.

Publishes a payload to a conduit channel identified by ID, returning a timestamped message receipt

Counts paired missing owner, revision, and content pins in ephemeris snapshot records, detecting co-occurring null combinations without treating missing as matching.

Retrieves or submits training dataset content for the EQ emotional-intelligence benchmark used to score AI agent text for human-likeness

Computes period-over-period adjacent row changes for equipment runtime and downtime metrics across up to 200 machine records

Computes a base-100 indexed time series for equipment run_hours or downtime_hours across machines, normalizing values relative to a chosen baseline row.

Computes frequency distributions across machine/category groups from equipment runtime records (run hours and downtime hours) for up to 200 rows of input data.

Computes daily sum series for equipment run_hours or downtime_hours across up to 200 machine-date records, returning aggregated totals per day.

Pivots equipment runtime and downtime hours data by date and machine category, returning a summary table of up to 200 records.

Removes exact duplicate rows from equipment runtime datasets (machine, date, run_hours, downtime_hours) with up to 200 records per call.

Compares two keyed datasets of equipment runtime records (run hours and downtime hours per machine per date) and returns numeric difference and data-quality metrics.

Filters equipment runtime records to only those where a chosen numeric field (run_hours or downtime_hours) falls within a specified minimum-maximum interval.

Audits up to 200 equipment runtime records for numeric and data-quality issues, returning a bounded quality audit deliverable per batch.

Computes a secondary-measure weighted mean of equipment runtime data (run_hours or downtime_hours) across up to 200 typed records using local numeric processing.

Computes a trailing (rolling) mean time series for equipment run_hours or downtime_hours across up to 200 dated machine records using a specified window size.

Calculates Pearson correlation between a series of equity-to-assets ratios and user-supplied benchmark values, returning a JSON report with formula, units, and limitations.

Calculates a weighted mean of equity-to-assets ratios across up to 200 supplied data rows using user-specified nonnegative weights.

Returns a blunt, paid decision-procedure brief for agents to verify that their intended action falls within ERC-7710 on-chain delegation scope (allowed actions, asset limits, expiry, revocation) before sending x402 USDC.

Binds an ERC-8004 registry identity to independently marked evidence without asserting ownership claims

Returns a breakdown of OSV advisory severities (critical, high, medium, low) for a specific version of the esbuild npm package

Retrieves install lifecycle hook metadata from the npm registry for the esbuild package, useful for integration and upgrade planning.

Returns published artifact integrity metadata (checksums, file hashes, registry info) for the esbuild npm package to support integration and upgrade planning.

Returns runtime and platform constraints metadata for the npm package esbuild, useful for integration and upgrade planning.

Fetches the live declared npm registry dependencies for the ESLint package (or any specified npm package).

Fetches the latest release summary for the ESLint npm package (or any specified npm package) from the live npm registry

Fetches the recent release history for the ESLint package (or any specified npm package) from the live npm registry

Returns live npm Registry source repository and documentation URLs for the ESLint package (or any overridden npm package name).

Generates unrestricted text responses to arbitrary prompts without content filtering or safety guardrails.

Retrieves the result or status of a previously submitted uncensored image generation request by request ID

Returns the current bid-ask spread for the ENS-USD trading pair from Coinbase Exchange public market data.

Retrieve upcoming space launch schedules with filtering by provider, date range, and mission keyword

Fetches the current top stories from Hacker News front page, returning titles, scores, URLs, comment counts, and ages

Validates calendar date fields in a CSV containing evaluation run import data, checking up to 1000 rows for date correctness

Validates that category columns in an evaluation run CSV contain only values from a declared allowlist, up to 1000 rows.

Validates cell length constraints in a CSV representing evaluation run imports, auditing up to 1000 rows for length compliance.

Validates a CSV of evaluation run import data and returns per-column statistics, supporting up to 1000 rows with configurable delimiters and cell constraints.

Validates a CSV of evaluation run import records and identifies exact duplicate rows within the dataset, returning a structured duplicates report.

Validates a declared CSV table schema contract for evaluation run data, checking headers, data types, and constraints across up to 1000 rows.

Validates a CSV of evaluation run import data and returns a report of all rows that fail the declared contract, up to 1000 rows.

Validates a CSV table representing evaluation run import data and returns a located error report identifying cell-level issues, up to 1000 rows.

Validates numeric columns in an evaluation run CSV import by checking that all numeric values fall within a declared minimum/maximum range, returning a per-row/per-cell range check report.

Validates that all numeric columns in an evaluation run CSV conform to expected numeric types, ranges, and category constraints, returning a type-check report.

Validates that all record keys in an evaluation run CSV import are unique, checking up to 1000 rows against a declared table contract.

Validates that required cells in a CSV table of evaluation run import records are populated, supporting up to 1000 rows and quoted cells.

Validates a CSV table of evaluation run import data for spreadsheet formula injections and flags suspicious cells, supporting up to 1000 rows.

Validates and normalizes a CSV table of evaluation run import records, trimming whitespace and converting values to their declared types, for up to 1000 rows.

Validates a CSV table for evaluation run imports, returning a structured validation summary report covering up to 1000 rows.

Validates a CSV table of evaluation run import data and exports only the valid rows, checking up to 1000 rows against declared constraints.

Searches live public web pages for EV charging network status information and returns relevant source links and snippets, tailored for analyst use cases.

Searches live public web pages for EV charging network status information targeted at developers, returning source links and snippets.

Searches live public web pages for real-time EV charging network status information tailored to operations teams, returning source links and snippets.

Computes row-over-row (adjacent period) changes for event attendance or registration data across up to 200 typed records

Converts raw event attendance or registration counts into a base-100 indexed series for trend comparison across event types and dates.

Computes frequency counts for each event type category across a batch of event attendance records

Computes a daily sum time series for event attendance data (registrations or attendees) from up to 200 supplied records, with local numeric and data-quality processing.

Pivots event attendance data (registrations or attendees) by date and event category, producing a cross-tabulated summary from up to 200 typed records.

Detects duplicate row_id keys in a batch of event attendance records and returns a data-quality report identifying which keys appear more than once.

Removes exact duplicate rows from event attendance datasets containing event_type, date, registrations, and attendees fields.

Fills missing numeric values in event attendance records (registrations or attendees) using zero, mean, or median imputation across up to 200 rows.

Computes grouped numeric summary statistics for event attendance and registration data, segmented by event type, from up to 200 supplied records.

Compares two keyed datasets of event attendance records (up to 200 rows each) and returns field-level differences, mismatches, and data quality metrics.

Computes a numeric distribution summary (descriptive statistics) for event attendance or registration data across up to 200 records.

Filters event attendance records to only those rows where a chosen numeric field (registrations or attendees) falls within a specified minimum–maximum range.

Audits up to 200 event attendance records for data quality issues, flagging numeric anomalies and structural problems across event_type, date, registrations, and attendees fields.

Computes a two-measure correlation (e.g. registrations vs. attendees) from up to 200 event attendance records, returning a bounded statistical correlation deliverable.

Monitors prediction market changes and compares cross-market data for a given topic or event term, returning machine-readable snapshots without executing trades.

Monitors prediction market conditions and compares prices/probabilities across multiple markets in machine-readable format, without executing any trades.

Fetches machine-readable prediction-market monitoring data and cross-market comparisons without executing trades

Retrieves machine-readable prediction-market data for a given term, comparing odds and positions across multiple markets without executing any trades.

Adds or subtracts a specified number of whole days from an ISO date, tailored for events planning workflows.

Allocates a meeting duration across a set of supplied topics, generating a timed agenda tailored for events workflows.

Distributes a short task list across a given number of available days, tailored for event planning workflows.

Ranks an events workflow task by computing a priority score from impact, urgency, and effort inputs

Places a list of event-related tasks into sequential time blocks with configurable breaks, returning a named schedule starting from a given time.

Scores and ranks event-planning options against user-defined weighted criteria to produce a structured decision matrix.

Returns a decision procedure (plain-prose rules) for authorizing everyday micro-payments in crypto, covering float checks, merchant term validation, idempotency requirements, and double-pay risk detection.

Validates up to ten claim-evidence pairs against a versioned rule set, flagging unsupported frame transfers and missing information without performing prose interpretation or truth certification.

Returns holder count and distribution signals for EVM-chain meme-coins, paid per-call with USDC via x402 on Base