All Services

Executes a test run against a DDG agent-payable service endpoint and returns pass/fail results with test count

Downloads a ZIP bundle containing local-first data and agent workflow tools plus verified EU tender shortlists from Decision Data Studio.

Downloads a ZIP archive containing local-first data and agent workflow tools plus verified EU tender shortlists from Decision Data Studio.

Retrieves a public-record data entry for a surface node, product, or estate-scale block on de-cm-kg.ai, returning an EdDSA-signed receipt resolvable via a permanent nonce URL.

Returns live DeFi bot signals from on-chain scanners across Base, Arbitrum, Optimism, and Solana networks

Normalises string fields in delivery timing records (route, date, row IDs) across up to 200 rows using local data-quality processing.

Returns a paid opportunity-intelligence signal feed designed to surface high-value market or business opportunities via a metered x402 payment endpoint.

Echoes back a submitted text string along with its character length, serving as a minimal pay-per-call test endpoint on the x402 payment protocol.

Repeats a given text string a specified number of times, returning the concatenated result with a count

Generates a concise markdown one-pager summarizing the current status of a fleet of agents from provided agent rows

Computes a secondary-measure weighted mean and fills missing values for dependency audit records (dependency_count, flagged_dependencies) across up to 200 rows, producing 2 analytical reports locally.

Applies string normalisation and Base-100 indexing to user-supplied dependency audit records (dependency_count, flagged_dependencies) for up to 200 rows, returning two analytical reports.

Performs string normalisation and a date-by-category pivot analysis on up to 200 rows of dependency audit records (dependency_count, flagged_dependencies), returning two analytical reports.

Normalises strings and deduplicates exact rows in dependency audit records (dependency_count, flagged_dependencies) for up to 200 rows, producing 2 independent analytical reports.

Audits data quality and computes a secondary-measure weighted mean for up to 200 dependency upgrade records (packages_checked, packages_updated), returning two analytical reports.

Runs two local analytical reports (record quality audit and string normalisation) on up to 200 rows of dependency upgrade data (packages_checked, packages_updated) for $0.01 USDC.

Normalises string fields and computes two-measure correlation analysis across up to 200 dependency upgrade records (packages_checked, packages_updated).

Returns a daily-retainer research data product via x402 micropayment, confirming access tier and product details for a $150 USDC per-call fee.

Returns a $100 USDC research data pack (desk_pack_100) via x402 micropayment on Base network

Performs numeric row ordering and secondary-measure weighted mean analysis on detection rules data (rule_count, alert_count), returning two analytical reports for up to 200 rows.

Returns a summary of the current status of the Genesis Arena, as provided by the DigitalGiant agent on the UnyKorn Operator Network.

Checks whether a given input value is a valid octal number or string

Determines whether it is currently nighttime based on the current time

Returns an HTTP analysis or structured report for a given Solidity/Sol-related request, accessed via x402 micropayment on Base

Runs two analytical reports on discussion response data: a record quality audit and a secondary-measure weighted mean, for up to 200 rows of response_count/response_minutes data.

Normalises discussion response metrics (response_count, response_minutes) and computes a Base-100 index series for up to 200 supplied rows, returning two analytical reports.

Computes adjacent row-to-row changes and a secondary-measure weighted mean for up to 200 document approval records in two combined analytical reports.

Deduplicates document approval records and generates equal-width histogram reports for submitted_documents or approved_documents fields across up to 200 rows.

Sorts document approval records by a numeric field and filters them to a specified numeric interval, returning up to 2 analytical reports for up to 200 rows.

Computes numeric row ordering and a trailing mean series for document approval records (submitted_documents, approved_documents) across up to 200 rows, returning two analytical reports.

Computes numeric row ordering and two-measure correlation analysis for document approval records (submitted_documents vs approved_documents) across up to 200 rows, returning two independent analytical reports.

Runs string normalisation and an equal-width histogram analysis on up to 200 document-approval records (submitted_documents or approved_documents), returning two analytical reports.

Sorts document readability records (sentence_count, word_count) by numeric order and filters rows within a specified numeric interval, returning two analytical reports for up to 200 rows.

Audits data quality and normalises strings for up to 200 rows of document readability data (sentence_count, word_count), producing two independent analytical reports.

Computes a secondary-measure weighted mean and fills missing values for document readability inputs (sentence_count, word_count) across up to 200 rows, returning 2 analytical reports.

Normalises string fields and compares two keyed datasets of document readability metrics (sentence_count, word_count) across up to 200 rows, producing 2 analytical reports.

Normalises document group strings and filters rows by a numeric interval for sentence_count or word_count fields across up to 200 document readability records, returning two analytical reports.

Computes numeric distribution statistics and a trailing mean time series for document redaction review records (flagged_spans and reviewed_spans) across up to 200 rows.

Runs three analytical reports (record quality audit, string normalisation, and secondary-measure weighted mean) on document redaction review data containing flagged and reviewed span counts.

Deduplicates up to 200 document retrieval records and computes a correlation analysis between retrieved_bytes and request_ms, returning two independent analytical reports.

Audits quality, normalises strings, and computes correlation between retrieved_bytes and request_ms for up to 200 document retrieval records, returning three analytical reports.

Normalises strings and computes correlation between retrieved_bytes and request_ms metrics across up to 200 document retrieval records, returning two analytical reports.

Analyzes document section coverage records by computing adjacent row changes and two-measure correlation across present_sections and required_sections fields (up to 200 rows, 2 reports).

Analyzes document section coverage records to produce a duplicate key report and a keyed dataset comparison between two supplied datasets (up to 200 rows each).

Analyzes document section coverage records to produce a duplicate key report and a numeric interval filter report for present_sections or required_sections values, up to 200 rows.

Computes numeric row ordering and daily sum series for document section coverage data (present_sections, required_sections) across up to 200 rows, returning two analytical reports.

Runs two local analytical reports on document section coverage data: a record quality audit and a date-by-category pivot, for up to 200 rows.

Runs three analytical reports on document section coverage records: a record quality audit, exact row deduplication, and numeric row ordering — all processed locally without external lookups.

Runs three local analytical reports (record quality audit, string normalisation, and two-measure correlation) on up to 200 document section coverage records containing present_sections and required_sections fields.

Normalises strings and deduplicates rows in document section coverage records, producing two analytical reports on present vs. required section counts for up to 200 rows.

Computes string normalisation and trailing mean time series for document section coverage data (present_sections, required_sections) across up to 200 rows, returning two analytical reports.

Normalises string fields in document workflow records (department names, row IDs, dates) across up to 200 typed rows with local data-quality processing.

Retrieves raw data stored on the Arweave permaweb for a specific transaction ID via the AR.IO gateway at permagate.io

Returns a breakdown of Crossref publication samples related to dynamic pricing models, including DOI references and source attribution.

Encodes a payload or request for use with the x402 payment protocol on Base USDC

Extracts text content from a given input source using a pay-per-call x402 micropayment on Base USDC

Verifies a Base USDC payment receipt, confirming a transaction was processed on-chain before unlocking paid service access.

Registers or initializes a payment session via the x402 protocol on the Base blockchain through Ease Pay

Compares two sets of parsed ecology observation record projections for semantic parity, preserving field pins and scope while ignoring record order.

Sorts a list of text lines into alphabetical order, optimized for ecommerce workflows.

Groups and compares organization, record, and revision identities across sources, jurisdictions, record kinds, and content to detect duplicate record identities in a supplied dataset.

Computes a base-100 indexed time series and Pearson correlation between comment_count and resolved_comments for up to 200 editorial review records

Deduplicates editorial review rows exactly and orders them numerically by comment_count or resolved_comments, returning 2 analytical reports for up to 200 rows.

Filters editorial review rows by a numeric interval and computes daily sum time series for comment_count or resolved_comments fields across up to 200 supplied records.

Sorts editorial review records by numeric value and computes a trailing moving average over comment_count or resolved_comments for up to 200 rows, returning two bundled analytical reports.

Computes a Base-100 indexed time series and a two-measure Pearson/rank correlation report for user-supplied elevation sample records (elevation_m, sample_weight) — no external data fetched.

Computes category frequencies and a sample-weight-based weighted mean for up to 200 elevation sample records, returning two analytical reports.

Performs exact row deduplication and numeric ordering on supplied elevation sample records (elevation_m, sample_weight) and returns two analytical reports for up to 200 rows.

Computes numeric distribution statistics and row ordering analysis for up to 200 elevation sample records containing elevation_m and sample_weight fields.

Filters elevation sample rows by a numeric interval on a chosen field and computes adjacent row changes, returning two analytical reports for up to 200 supplied rows.

Runs two offline analytical reports on supplied elevation sample records: a numeric interval filter (isolating rows within a value range) and a daily sum series aggregation, for up to 200 rows.

Filters elevation sample rows by a numeric interval on a chosen field and computes a two-measure correlation between elevation_m and sample_weight for up to 200 supplied rows.

Applies numeric row ordering and explicit missing-value fill (zero, mean, or median) to a supplied batch of elevation sample records containing elevation_m and sample_weight fields.

Sorts elevation sample records by a numeric field and filters them to a specified numeric interval, returning two analytical reports on up to 200 rows of elevation and sample weight data.

Runs three local analytical reports on elevation sample data: a record quality audit, exact row deduplication, and a trailing mean series computation.

Normalises string fields and computes a sample-weight-based weighted mean for elevation measurement records, returning two analytical reports for up to 200 rows.

Computes a trailing moving average series and fills missing values in elevation sample data (elevation_m, sample_weight) for up to 200 rows, returning two analytical reports.

Runs two statistical reports (Pearson/Spearman correlation between elevation_m and sample_weight, plus a keyed row-by-row dataset comparison) on up to 200 supplied elevation sample records, entirely offline with no external lookups.

Computes a base-100 indexed time series and a reporting_agents-weighted mean for supplied endpoint telemetry rows (agent_count, reporting_agents), returning two analytical reports for up to 200 rows.

Deduplicates endpoint telemetry rows exactly and fills missing agent_count or reporting_agents values using zero, mean, or median imputation for up to 200 rows.

Computes numeric row ordering and Base-100 indexed series for supplied endpoint telemetry records (agent_count, reporting_agents) across up to 200 rows.

Computes numeric row ordering and daily sum series for up to 200 rows of endpoint telemetry data (agent_count, reporting_agents) using local analytical engines.

Audits data quality and deduplicates rows in endpoint telemetry records containing agent_count and reporting_agents fields, returning two independent analytical reports.

Runs three local analytical reports on endpoint telemetry rows: a data quality audit, string normalisation, and a daily sum time series for agent_count or reporting_agents fields.

Audits quality, normalises strings, and deduplicates exact rows in endpoint telemetry records containing agent_count and reporting_agents fields — up to 200 rows, three reports per call.

Runs three local analytical reports on endpoint telemetry rows: a data quality audit, string normalisation, and a grouped numeric summary for agent_count or reporting_agents fields.

Audits record quality, normalises strings, and filters by numeric interval for endpoint telemetry rows containing agent_count and reporting_agents fields.

Audits data quality and computes correlation between agent_count and reporting_agents for up to 200 rows of endpoint telemetry data.

Compares two snapshots of ephemeris records to isolate true insertions and deletions from shared-record reordering across target, centre, frame, time-scale, correction, and kernel-pinned dimensions.

Checks which required fields are present or missing in supplied ephemeris snapshot records (target, centre, frame, time-scale, correction, kernel pins, etc.) without independently certifying their validity.

Runs string normalisation and trailing mean series analysis on event coverage data (covered_sessions, planned_sessions) for up to 200 rows, returning two analytical reports.

Analyzes up to 200 exchange quote rows (bid_price/ask_price) to produce a duplicate key report and numeric row ordering, using local analytical engines with no external lookups.

Analyzes exchange quote records (bid/ask prices) by sorting rows numerically and comparing two keyed datasets, producing two analytical reports for up to 200 rows.

Audits data quality, normalises strings, and orders rows numerically for up to 200 exchange quote observation records containing bid and ask prices.

Routes HTTP POST RPC calls to backend services via a metered gateway, consuming from a pre-purchased bundle of 1000 requests

Computes local finite-change elasticity for expected-versus-received payout variance given retail figures, returning a bounded sensitivity report.

Generates a duplicate key report and a two-measure Pearson/rank correlation analysis for expense records containing submitted_amount and approved_amount fields, using local analytical engines on up to 200 rows.

Applies numeric row ordering and base-100 index series analysis to up to 200 expense records (submitted_amount, approved_amount), returning two local analytical reports per call.

Normalises numeric experiment signal records (up to 200 rows) across conditions and dates, returning a bounded string normalisation report for local descriptive analytics.

Audits a target domain hostname and returns a structured audit report via the Expertlawforum platform