All Services

Checks or validates building systems, designs, or data against ASHRAE standards for energy efficiency and compliance

Search and filter music tracks via the Magnific/Freepik media platform

Provides comprehensive Twitter/X data access and operations through a single pay-per-call endpoint on Base chain.

Probes a pay-gated HTTP endpoint URL to determine if it is reachable or dead, returning status, error details, and a failover checklist.

Runs string normalisation and duplicate key detection on up to 200 manuscript progress records (drafted_words, target_words) and returns two independent analytical reports.

Groups and compares declared organization, record, and revision identities across sources, jurisdictions, and record kinds to detect duplicate entries within supplied market catalogue data.

Checks whether required issuer/subject/producer/work pin fields are present or null in supplied market catalogue, merchant, SKU, or revision records.

Deduplicates exact rows and computes category-level frequency counts for up to 200 marketplace charge records (gross_amount, fee_amount) using local analytical engines.

Assigns numeric row order and computes a base-100 index series for up to 200 marketplace charge records (gross_amount or fee_amount), returning two independent analytical reports.

Audits record quality, normalises strings, and filters by numeric interval for marketplace charges data (gross_amount, fee_amount) across up to 200 rows, producing 3 independent analytical reports.

Computes category frequency distributions and numeric row ordering for market survey observation records (respondent_count, sample_weight) across up to 200 rows.

Analyzes market survey observation records to produce two reports: IQR-based outlier flags and a date-by-category pivot, for up to 200 rows.

Sorts market survey observation rows numerically and fills missing respondent_count or sample_weight values using zero, mean, or median imputation, returning 2 analytical reports for up to 200 rows.

Runs two analytical reports on market survey observation rows: a record quality audit and adjacent row change detection for respondent_count or sample_weight fields.

Runs two analytical reports on market survey observation rows: a record quality audit and a numeric row ordering, for up to 200 rows with respondent_count or sample_weight fields.

Runs three local analytical reports on market survey observation rows: a record quality audit, string normalisation, and a daily sum series for respondent_count or sample_weight fields.

Runs three local analytical reports on market survey observation records: a record quality audit, string normalisation, and numeric row ordering for respondent_count or sample_weight fields.

Normalises string fields and computes a party-size-weighted mean for matchmaking queue data (queue_seconds, party_size) across up to 200 rows, returning two analytical reports.

Computes category-level frequencies and a secondary-measure weighted mean for material library records (material_count, texture_mb) across up to 200 rows.

Analyzes up to 200 material library records to produce a duplicate key report and numeric distribution for material_count or texture_mb fields.

Deduplicates rows and compares two keyed datasets of material library records (material_count, texture_mb) for up to 200 rows, returning 2 analytical reports.

Deduplicates exact rows and computes secondary-measure weighted means for material library records (material_count, texture_mb) across up to 200 rows, returning two analytical reports.

Computes grouped numeric summaries and texture_mb-weighted means for material library records (material_count, texture_mb), grouped by asset_group, for up to 200 supplied rows.

Computes numeric distribution statistics and a Base-100 index series for material library records (material_count or texture_mb) across up to 200 rows, returning two independent analytical reports.

Sorts material library records by a numeric field and computes correlation between material_count and texture_mb across up to 200 rows in two independent reports.

Computes a secondary-measure weighted mean and a date-by-category pivot table for supplied material library records (material_count, texture_mb) in a single paid call.

Normalises string fields and compares two keyed datasets of material library records (material_count, texture_mb) producing two analytical reports for up to 200 rows each.

Runs string normalisation and numeric distribution analysis on material library records (material_count, texture_mb) for up to 200 rows, producing two independent analytical reports.

Computes string normalisation and trailing mean series analytics on material library records (material_count, texture_mb) for up to 200 rows, returning two reports per call.

Fetches current interest rates market data including lending rates, yield curves, and benchmark rates

Screens a counterparty and transaction amount for compliance flags using the MNEMOS intelligence system

Issues wallet-bound EFUEL execution credits after USDC payment settlement via the x402 protocol, at a rate of 1 USDC = 100 EFUEL credits.

Computes probabilities and binomial confidence intervals for shot-count arrays, returning uncertainty metrics with configurable interval method and independence assumptions.

Scans meeting notes (Markdown or plain text) for duplicate paragraphs and returns a deterministic audit report identifying repeated content.

Compares two sets of closed nonpersonal meeting record exports by stable ID, agenda, revision, digest, offset, and owner-role labels, ignoring row order and without performing natural-language equivalence or agreement verification.

Deduplicates and numerically orders up to 200 mesh budget records (triangle_count, vertex_count) and produces 2 analytical reports using local engines.

Runs three analytical reports on mesh budget data (triangle_count, vertex_count): a record quality audit, exact row deduplication, and a trailing mean time series, all computed locally without external lookups.

Audits data quality and computes a secondary-measure weighted mean for up to 200 mesh budget records containing triangle and vertex counts.

Runs three independent analytical reports (record quality audit, string normalisation, and numeric distribution) on supplied mesh budget records with triangle_count and vertex_count fields.

Normalises string fields and orders rows numerically for mesh budget records containing triangle_count and vertex_count, producing up to 2 analytical reports for up to 200 rows.

Performs two analytical reports on mesh budget data: a correlation analysis between triangle_count and vertex_count, and a date-by-category pivot table, for up to 200 rows.

Analyzes metadata completeness records (present_fields, expected_fields) to produce two reports: category frequency distributions and adjacent row change calculations, for up to 200 rows.

Runs three local analytical reports on metadata completeness records: a record quality audit, exact row deduplication, and an equal-width histogram for present_fields or expected_fields values across up to 200 rows.

Queries social media profiles, posts, or social data via a pay-per-call gateway using USDC payments on Base Mainnet

Fetches data about Solana and NEAR blockchain ecosystems via a pay-per-call proxy, accepting USDC on Base Mainnet via x402 protocol

Search and retrieve investing and cryptocurrency data including market information, prices, and analysis via a pay-per-call USDC-powered API

Retrieves Instagram data (profiles, posts, or search results) via a pay-per-call proxy using USDC payments on Base Mainnet

Fetches and searches cryptocurrency news articles based on a query string, returning relevant news results for AI agents.

Retrieves Instagram media content, profile data, or search results for a given username, URL, or query via pay-per-call infrastructure

Search Instagram content or profiles by query, URL, or username via a pay-per-call API gateway using USDC on Base

Search and retrieve Twitter/X data — tweets, profiles, and results — via a pay-per-call proxy using USDC on Base Mainnet.

Signs or processes TikTok URLs/requests to enable authenticated access to TikTok content or API calls

Deduplicates migration batch records and computes a two-measure correlation between records_migrated and failed_records for up to 200 rows.

Retrieves a collection of reusable prompt templates available through the minia2a x402 service

Generates a random fictional company name or profile on demand

Returns information about the x402-agent-toolkit service, including its supported input/output types, methods, and query parameters for agent integration.

Checks whether the x402 payment-gated endpoint infrastructure is alive and responding correctly

Retrieves the current cryptocurrency futures funding rate for a given asset or market

Performs a binary search algorithm computation given a structured input describing the search parameters and method.

Computes the Pearson or similar correlation between calculated mining electricity charges (energy_kwh × usd_per_kwh) and a supplied set of benchmark values across up to 200 data rows.

Computes a benchmark correlation report comparing mining operating contribution margin rates against a set of user-supplied benchmark values across multiple data rows.

Audits, normalises, and fills missing values in mining pool share records (accepted_shares, rejected_shares) across up to 200 rows, producing 3 independent analytical reports.

Runs a record quality audit and a two-measure correlation analysis on up to 200 rows of mining pool share data (accepted_shares, rejected_shares), returning two independent analytical reports.

Calculates the gap between a miner's net BTC reward (after deducting pool fees) and a specified target value, using user-supplied mining assumptions.

Analyzes supplied moderation queue records to detect duplicate keys and sort rows numerically across the reported_items and reviewed_items fields, returning two analytical reports for up to 200 rows.

Filters moderation queue records by a numeric interval and computes a secondary-measure weighted mean, returning two analytical reports for up to 200 rows of reported/reviewed item data.

Computes numeric row ordering and Base-100 index series for moderation queue data (reported_items and reviewed_items) across up to 200 supplied rows.

Runs three local analytical reports (record quality audit, string normalisation, and daily sum series) on up to 200 rows of moderation queue data containing reported and reviewed item counts.

Computes a secondary-measure weighted mean and fills missing values in moderation queue records (reported_items, reviewed_items) for up to 200 rows, returning two analytical reports.

Returns a local SEO snapshot or insight for a given query, paid via x402 USDC micropayment on Base.

Returns a paid brief/summary payload via x402 micropayment on Base, charging $1 USDC per call through the HTTP 402 payment protocol.

Audits an agent artifact or output against deterministic checks, returning a pass/fail result with a SHA-256 hash and structured metrics via x402 micropayment on Base or Algorand.

Audits data quality and computes a secondary-measure weighted mean for up to 200 motion capture records (frame_count, missing_frames), returning two independent analytical reports.

Returns a paid, agent-facing decision procedure or schema brief for the 'stableenrich' service, including inputs, thresholds, and failure modes

Purchases a custom USDC-denominated amount of MUNCH tokens (0x70B1dC3d736F164befCb23388608DD822b253B07) on behalf of the caller

Performs numeric row ordering and secondary-measure weighted mean analysis on municipal waste records (collected_tonnes, recycled_tonnes) for up to 200 rows, returning two analytical reports per call.

Deduplicates navigation path records and computes a Base-100 index series for path_length or search_ms metrics across up to 200 rows.

Deduplicates navigation path records and compares two keyed datasets, reporting differences in path_length and search_ms metrics across up to 200 rows.

Computes a numeric distribution and an interval-filtered subset report for navigation path data (path_length and search_ms fields) across up to 200 supplied rows.

Sorts navigation path records by numeric fields and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

Runs two local analytical reports on navigation path data — a record quality audit and adjacent row change detection — for up to 200 supplied rows across path_length or search_ms fields.

Funds the backend wallet used by the Net Protocol relay service on Base (chain 8453)

Computes Pearson correlation between transferred_mb and duration_seconds, plus a weighted mean of a secondary measure, for up to 200 network link records in a single API call.

Validates the chronological ordering of collection, processing, and export timestamps in neural interface records, enforcing a caller-defined maximum age constraint.

Analyzes news archive completeness records by computing category frequencies across channel groups and calculating the correlation between indexed_items and expected_items.

Analyzes news archive completeness records (indexed_items, expected_items) to produce a duplicate key report and an equal-width histogram for up to 200 rows.

Audits record quality and detects exact duplicate rows in news archive completeness data (indexed_items vs expected_items) for up to 200 rows, returning two independent analytical reports.

Runs two local analytical reports (record quality audit and adjacent row change detection) on up to 200 newsletter observation rows containing delivered_messages and open_count fields.

Runs two analytical reports on newsletter observation rows: a record quality audit and a numeric interval filter for delivered_messages or open_count fields.

Runs three analytical reports (record quality audit, string normalisation, and trailing mean series) on newsletter observation data (delivered_messages, open_count) for up to 200 rows.

Computes a grouped numeric summary and a numeric interval filter report for newsletter preparation records tracking completed and planned items, returning up to 2 analytical reports for up to 200 rows.

Runs string normalisation and Base-100 index series analytics on newsletter preparation data (completed_items, planned_items) for up to 200 rows, returning two independent reports.

Analyzes up to 200 rows of newsroom assignment records to produce a duplicate key report and a keyed dataset comparison between two supplied datasets.

Deduplicates newsroom assignment records and computes correlation between assigned_items and completed_items across up to 200 rows, returning two analytical reports.

Runs three local analytical reports on newsroom assignment data: record quality audit, string normalisation, and numeric row ordering for up to 200 rows of assigned/completed items.

Computes a secondary-measure weighted mean and fills missing values for newsroom assignment records (assigned_items, completed_items) across up to 200 rows, producing 2 analytical reports.

Retrieves the transaction history for a given cryptocurrency wallet address

Checks whether a requested set of RPC methods on a given blockchain network are accessible and appropriate before an AI agent purchases an x402-gated RPC endpoint.

Deduplicates rows and computes correlation between missing_values and total_values for null coverage datasets, producing two analytical reports for up to 200 supplied rows.

Applies a numeric interval filter and computes daily sum series on supplied null-coverage (missing_values, total_values) records, returning two analytical reports for up to 200 rows.