All Services

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.

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

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

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.

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

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.

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.

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.

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.

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.

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.

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

Computes adjacent row-to-row changes and a secondary-measure weighted mean for up to 200 export validation records (valid_rows, exported_rows) in two independent local analytical reports.

Computes a Base-100 index series and a secondary-measure weighted mean for export validation records containing valid_rows and exported_rows fields, using local analytical engines with no external lookups.

Computes category frequency counts and Pearson/rank correlation between valid_rows and exported_rows for up to 200 export validation records, returning two analytical reports.

Analyzes up to 200 export validation rows to produce two reports: a duplicate key detection report and a numeric interval filter for valid_rows or exported_rows fields.

Runs two local analytical reports on export validation data: exact row deduplication and equal-width histogram distribution for valid_rows or exported_rows fields.

Runs two local analytical reports on export validation data: a grouped numeric summary and a numeric row ordering, over up to 200 rows of valid_rows/exported_rows data.

Sorts export validation records numerically by row and fills missing values in valid_rows or exported_rows using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

Validates export records by computing numeric row ordering and trailing mean series for valid_rows and exported_rows fields across up to 200 rows, returning two analytical reports.

Audits export validation records for quality issues and produces a grouped numeric summary of valid_rows or exported_rows fields, for up to 200 rows in two independent analytical reports.

Runs three local analytical reports on export validation row data: a record quality audit, string normalisation of dataset group labels, and a numeric interval filter on valid_rows or exported_rows fields.

Runs three local analytical reports on export validation row data: record quality audit, string normalisation, and secondary-measure weighted mean for up to 200 rows of valid_rows/exported_rows data.

Runs two local analytical reports (string normalisation and daily sum series) on up to 200 export validation records containing valid_rows and exported_rows fields.

Runs two local analytical reports on export validation data: string normalisation of a chosen metric field and a date-by-category pivot, for up to 200 rows.

Downloads the FABA AirMeter v1 software package or plugin for air metering functionality within the FABA agent ecosystem

Normalises strings and compares two facilities usage datasets (occupied_seats, available_seats) by key, returning 2 analytical reports for up to 200 rows each.

Normalises team_group strings and filters facilities usage records (occupied_seats, available_seats) by a numeric min/max interval, producing up to 2 analytical reports for up to 200 rows.

Deduplicates fact-check workflow records and computes a secondary-measure weighted mean across claims_reviewed and references_collected data, returning two analytical reports.

Runs two local analytical reports on fact-check workflow data: numeric row ordering and a trailing moving-average series for claims_reviewed or references_collected, across up to 200 rows.

Audits fact-check workflow records for data quality and ranks rows numerically by claims_reviewed or references_collected, returning two analytical reports for up to 200 rows.

Provides access to a broad marketplace of self-hosted AI and utility endpoints including chat, OCR, embeddings, translation, image editing, speech, and financial/math calculators, priced per call via crypto.

Fetches Total Value Locked (TVL) data across DeFi blockchain chains via a self-hosted proxy endpoint.

Returns the Total Value Locked (TVL) data for a specified DeFi protocol by name

Computes mathematical derivatives (calculus) via a self-hosted inference endpoint, pay-per-call with crypto.

Fetches Bitcoin network statistics and blockchain data via a self-hosted utility endpoint, paid per call with crypto.

Computes numeric row ordering and daily sum series reports for feature availability data (populated_features, expected_features) across up to 200 rows using local analytical engines.

Runs two local analytical reports on feature availability data: numeric row ordering and keyed dataset comparison across up to 200 rows of populated_features and expected_features.

Runs three offline analytical reports (record quality audit, string normalisation, and date-by-category pivot) on up to 200 feature-availability rows containing populated_features and expected_features counts.

Runs three independent analytical reports (record quality audit, string normalisation, and duplicate key detection) on supplied feature availability records (populated_features vs expected_features) for up to 200 rows.

Runs three analytical reports on feature availability records: a record quality audit, string normalisation, and a keyed dataset comparison between two supplied datasets (up to 200 rows each).

Runs three local analytical reports on feature availability records: a record quality audit, string normalisation, and numeric row ordering — up to 200 rows per call.

Normalises string values and orders rows numerically for feature availability records (populated_features, expected_features) across up to 200 rows, producing 2 independent analytical reports.

Executes stateful agent tasks via a remote MCP endpoint, tracking change evidence for security monitoring purposes, payable per call with x402 Base USDC.

Provides stateful security monitoring for remote MCP (Model Context Protocol) endpoints, tracking and evidencing changes via a chat-completion-style API with per-call micropayments.

A pay-per-call MCP proxy tool named 'Signal Sprint Base Block' hosted on fiatdock.com, forwarding JSON-RPC 2.0 requests to a seller's MCP endpoint for $0.005 USDC per call.

Generates a structured research brief about a money bot, cryptocurrency, or financial entity via a pay-per-call MCP endpoint

Generates two analytical reports (Base-100 indexed series and keyed dataset comparison) for field survey coverage records containing surveyed_m2 and target_m2 values, up to 200 rows.

Deduplicates field survey coverage records and produces grouped numeric summaries for surveyed_m2 or target_m2 across up to 200 rows.

Deduplicates and numerically orders field survey coverage records (surveyed_m2, target_m2) for up to 200 rows, returning 2 analytical reports.

Computes numeric distribution statistics and two-measure correlation for field survey coverage data (surveyed_m2 vs target_m2) on up to 200 supplied rows.

Audits record quality and applies numeric row ordering to field survey coverage data (surveyed_m2, target_m2) for up to 200 rows, producing 2 analytical reports.

Audits field survey coverage records for quality issues, normalises strings, and fills missing values in surveyed_m2 or target_m2 fields across up to 200 rows, returning 3 independent analytical reports.

Normalises station group strings and produces a date-by-category pivot table from field survey coverage records (surveyed_m2, target_m2) — two analytical reports for up to 200 rows.

Computes string normalisation and an equal-width histogram for field survey coverage records (surveyed_m2 and target_m2) across up to 200 rows.

Normalises string fields and computes a secondary-measure weighted mean for up to 200 field survey coverage records (surveyed_m2, target_m2), returning two analytical reports.

Computes Pearson correlation between surveyed_m2 and target_m2, plus a weighted mean of the secondary measure, for up to 200 field survey coverage records.

Computes numeric distribution statistics and row ordering reports for font production records (glyph_count and kerning_pairs fields) across up to 200 rows.

Sorts font production records by date and fills missing glyph_count or kerning_pairs values using zero, mean, or median imputation, delivering two analytical reports for up to 200 rows.

Sorts font production records by a chosen numeric field and filters them to a specified numeric range, returning up to two analytical reports on glyph_count and kerning_pairs data.

Sorts font production records by a numeric field and computes a secondary-measure weighted mean across up to 200 supplied rows, returning two analytical reports.

Runs two local analytical reports (string normalisation and daily sum series) on font production records containing glyph_count and kerning_pairs fields, for up to 200 rows.

Performs string normalisation and secondary-measure weighted mean analysis on font production records (glyph_count, kerning_pairs) for up to 200 rows, returning 2 analytical reports.

Performs string normalisation and two-measure correlation analysis on up to 200 font production records (glyph_count, kerning_pairs), returning two independent analytical reports.

Computes a numeric distribution report and a Base-100 index series for up to 200 rows of forecast/observed value pairs, with no live data lookup or external action.

Applies a numeric interval filter and computes a daily sum series on supplied forecast vs. observed value records, returning two analytical reports for up to 200 rows.

Executes a payment-protected marketplace listing or bundle purchase transaction, charging $0.01 USDC per call via the x402 payment protocol.

Returns an x402 Payment Required challenge to initiate micropayment-gated API access for discovery clients.

Audits record quality and normalises strings in form inventory data (field_count, labelled_fields), producing two independent analytical reports for up to 200 rows.

Normalises site group strings and filters form inventory records by a numeric interval on field_count or labelled_fields, returning 2 analytical reports for up to 200 rows.

Performs string normalisation and two-measure correlation analysis on form inventory records (field_count, labelled_fields) for up to 200 rows, returning two independent analytical reports.

Performs a data quality audit and a secondary-measure weighted mean calculation on forum topic activity records (thread_count, reply_count) for up to 200 rows.

Runs three local analytical reports on forum topic activity data (thread_count, reply_count): a record quality audit, string normalisation, and keyed dataset comparison across two supplied datasets of up to 200 rows each.

Normalises string fields and identifies duplicate keys in forum topic activity records (thread_count, reply_count) for up to 200 rows, returning two independent analytical reports.

Returns a curated directory of free-tier APIs and resources for agents, including no-key blockchain APIs, AI free tiers, no-CAPTCHA faucets, and zero-cost marketplaces

Performs a preflight AML/sanctions check on a crypto wallet address (TRON, EVM, or Solana) to assess frozen-fund risk before deeper forensic analysis.

Compares a list of items using the GadgetHumans API Hub, returning comparison results across multiple categories.

Purchase a micro credits pack on GadgetHumans API Hub to fund API calls across its 300+ REST APIs and 49 MCP tools