All Services

Analyzes export validation records to produce two local reports: category frequency counts by dataset_group and numeric row ordering by valid_rows or exported_rows, for up to 200 rows.

Sorts fact-check workflow rows by a chosen numeric measure and computes the correlation between claims_reviewed and references_collected across up to 200 supplied records.

Runs three local analytical reports on feature availability records: a record quality audit, string normalisation, and a grouped numeric summary — all within a single $0.01 USDC call for up to 200 rows.

Computes a base-100 index series and a secondary-measure weighted mean for up to 200 rows of feed observation data (item_count, duplicate_items) using local analytical engines.

Computes category frequencies and numeric row ordering for font production records (glyph_count, kerning_pairs) across up to 200 rows, returning two analytical reports.

Runs three local analytical reports on up to 200 form inventory rows: a record quality audit, string normalisation, and an equal-width histogram over a chosen numeric field.

Retrieves local business data (listings, details, reviews, or related information) for a given query or location via pay-per-call on Base chain.

Scrapes Instagram profile and post data via a third-party scraper API proxied through the GGWP hub, paid per-call on Base chain.

Processes GPT-5.5 chat completions via a GET endpoint paid with x402 USDC on Base, supporting summarization, translation, QA, and coding tasks for AI agents.

Returns a pre-solved BFS shortest-path ES module for the horizontal-15-d2 grid maze preset, with configurable title, seed, and accent color.

Generates or extracts keyword markers for chapters within media content in the Baumarkt (home improvement/hardware store) domain

Runs a single-call 3-node multi-agent DAG pipeline chaining security audits, DeFi/on-chain risk checks, B2B OSINT, and RAG distillation over a target URL.

Generates a content blueprint or structured content draft based on a given topic using AI

Returns structured academic citation records (DOI references, source attribution) about inventory demand forecasting from Crossref publisher metadata.

Computes string normalisation and secondary-measure weighted mean analytics for join coverage records (matched_rows, source_rows) across up to 200 rows, returning 2 independent reports.

Returns the best-performing DeFi yield pools across protocols, ranked by yield metrics

Filters label review records by a numeric interval on a chosen field and computes a Pearson/Spearman correlation between reviewed_records and changed_labels, returning two analytical reports for up to 200 rows.

Returns AI-generated crypto alpha and market intelligence on a given topic using the MiMo V2.5 model, covering DeFi, tokens, wallets, and on-chain trends.

Checks parent existence and detects cycles within owner and subject frames of license record reference graphs for offline, nonpersonal metadata.

Analyzes up to 200 lighting setup records to produce a duplicate key report and a numeric interval filter on light_count or render_seconds fields.

Compresses PLY point cloud or 3D Gaussian splat data for efficient storage and transmission

Analyzes market survey observation records to produce two reports: category-level frequency counts and a date-by-category pivot table, for up to 200 rows.

Runs two statistical reports on market survey observation data: a Pearson correlation between respondent_count and sample_weight, plus a keyed comparison across two supplied datasets, for up to 200 rows per dataset.

Analyzes up to 200 rows of material library records to produce a duplicate key report and fill missing values in material_count or texture_mb fields using zero, mean, or median strategies.

Analyzes up to 200 material library records to produce a duplicate key report and a trailing moving-average series for a chosen numeric field (material_count or texture_mb).

Deduplicates rows in material library records and computes a Base-100 indexed series for material_count or texture_mb fields, returning two analytical reports.

Runs two local analytical reports on supplied material library records: a data quality audit and a daily sum time series for material_count or texture_mb fields.

Runs three analytical reports on material library records — a record quality audit, string normalisation, and explicit missing-value fill — for up to 200 rows of material_count and texture_mb data.

Normalises strings and deduplicates exact rows in mesh budget records (triangle_count, vertex_count) for up to 200 rows, returning 2 analytical reports.

Retrieves best-performing or recommended TikTok content/experiences based on a search query, URL, or username

Runs string normalisation and equal-width histogram analysis on news archive completeness records (indexed_items vs expected_items) for up to 200 rows, returning two analytical reports.

Generates a personalized meal plan based on a natural language query describing dietary preferences, goals, or constraints

Computes adjacent row-to-row changes and a secondary-measure weighted mean for up to 200 rows of numeric precision comparison data (source_value vs. transformed_value).

Classifies text according to a specified task using a large language model, returning a success indicator

Analyzes up to 200 ownership record completeness rows to produce two independent reports: a duplicate key report and an adjacent row changes report, using local analytical engines.

Runs three analytical reports (record quality audit, string normalisation, and numeric row ordering) on up to 200 rows of page change observation data containing changed_blocks and total_blocks fields.

Generates two statistical reports (numeric distribution and base-100 index series) for partnership pipeline data (qualified_partners, active_partners) supplied by the caller, covering up to 200 rows.

Computes a secondary-measure weighted mean and fills missing values for up to 200 partnership pipeline records (qualified_partners, active_partners) in two bundled analytical reports.

Routes a natural-language or product-ID-based task to the appropriate PennyRail micro-service and executes it via on-chain USDC settlement

Normalises string fields and orders rows numerically for up to 200 pipeline duration records (run_seconds, processed_rows), returning two analytical reports per call.

Analyzes and debugs code snippets or programming queries using AI, identifying errors and suggesting fixes

Counts paired missing values across owner, revision, and content pins in protein/isoform/sequence-pinned measurement records without silently treating missing as matching

Binds protein measurement rows to exact declared protein/isoform/sequence-revision/digest identifiers to verify reference integrity without fetching or inferring sequence identity or structure.

Runs string normalisation and trailing mean series analysis on question bank coverage records (item_count, objective_count) for up to 200 rows, returning two analytical reports.

Performs string normalisation and secondary-measure weighted mean calculations on up to 200 queue consumer records (queue_depth, processed_messages) and returns 2 independent analytical reports.

Generates a written news article using AI, likely from a topic or prompt input

Validates that quantity and unit labels are mutually compatible within a single reaction record dataset, flagging conflicting unit labels without performing numerical conversion.

Filters record routing rows by a numeric interval on a chosen field and computes a secondary-measure weighted mean, returning two analytical reports for up to 200 supplied rows.

Runs three offline analytical reports on record routing data: quality audit, string normalisation, and numeric row ordering for accepted_records and rejected_records fields across up to 200 rows.

Runs string normalisation and keyed dataset comparison on two supplied record routing datasets (accepted_records, rejected_records) and returns 2 independent analytical reports for up to 200 rows each.

Computes a two-measure correlation (accepted vs rejected records) and a date-by-category pivot table for up to 200 supplied record routing rows in a single paid call.

Generates a duplicate key report and numeric row ordering analysis for supplied redirect observation records (redirect_count, final_status_code) for up to 200 rows.

Normalises company group strings and orders rows numerically for up to 200 research task completion records (completed_tasks, assigned_tasks), producing 2 analytical reports per call.

Computes a weighted mean of return restock contribution values across multiple retail return records, given returned units, recoverable percent, unit inventory value, and processing cost.

Returns structured data from the NuGet package registry via a free-source, no-proxy API endpoint for $0.002 per call

Runs two local analytical reports on up to 200 sampling observation rows: string normalisation and a date-by-category pivot for sample_value or sample_weight fields.

Runs two local analytical reports on savings ledger records: string normalisation of text fields and duplicate row_id detection, for up to 200 rows.

Runs three offline analytical reports on schema conformity data — a record quality audit, string normalisation, and daily sum series — for up to 200 rows of valid/checked record counts.

Returns TLS certificate information for a given domain or connection, paid per-call via USDC on Base using the x402 protocol.

Analyzes service request handling records to produce a duplicate key report and a numeric row ordering report for up to 200 rows.

Deduplicates exact duplicate rows and detects adjacent row changes in service request handling data (request_count, resolution_minutes) for up to 200 rows, returning 2 analytical reports.

Ranks service request handling rows by a chosen metric and computes adjacent-row changes, delivering two analytical reports for up to 200 records of request_count or resolution_minutes data.

Normalises asset_group strings and computes a secondary-measure weighted mean for shot schedule records containing planned_hours and actual_hours fields.

Computes category frequency counts and a secondary-measure weighted mean for simulation cache records (cache_gb, simulation_seconds) grouped by asset group, for up to 200 rows.

Deduplicates simulation cache records and generates a duplicate key report for up to 200 rows of cache_gb and simulation_seconds data.

Runs two analytical reports on simulation cache data: a record quality audit and a numeric row ordering, for up to 200 rows of cache_gb and simulation_seconds data.

Runs three local analytical reports on simulation cache records: record quality audit, string normalisation, and adjacent row change detection for cache_gb and simulation_seconds fields.

Runs three local analytical reports on simulation cache data: record quality audit, string normalisation, and trailing mean series computation (up to 200 rows).

Normalises string fields and flags IQR-based outliers in staking reward and staked-unit records for up to 200 rows, producing 2 analytical reports per call.

Computes real-time 5-minute delta shifts in DEX buy/sell ratio, DeFiLlama APY spreads, and Polymarket prediction market odds for a given token or asset.

Computes real-time 5-minute delta shifts in DEX buy/sell ratio, DeFiLlama APY spreads, and Polymarket odds for a given token or asset.

Computes real-time 5-minute delta shifts in DEX buy/sell ratio, DeFiLlama APY spreads, and Polymarket odds for a given token or asset.

Computes real-time 5-minute delta shifts in DEX buy/sell ratio, DeFiLlama APY spreads, and Polymarket odds for a given token or asset

Computes real-time 5-minute delta shifts in DEX buy/sell ratio, DeFiLlama APY spreads, and Polymarket odds for a given token or asset

Computes real-time 5-minute delta shifts in DEX buy/sell ratio, DeFiLlama APY spreads, and Polymarket prediction market odds for a specified token or asset.

Returns real-time 5-minute delta shifts in DEX buy/sell ratio, DeFiLlama APY spreads, and Polymarket odds for a given token or asset

Filters supplier qualification rows by a numeric interval on a chosen field and computes a two-measure correlation between checked_criteria and met_criteria, returning two analytical reports for up to 200 rows.

Analyzes supplier qualification records to produce numeric row ordering and adjacent row change reports for checked_criteria or met_criteria fields across up to 200 rows.

Runs three local analytical reports on supplier qualification data: a record quality audit, string normalisation, and a grouped numeric summary of checked/met criteria fields, for up to 200 rows.

Runs two local analytical reports on supplied texture baking data: a numeric interval filter on bake metrics and a date-by-category pivot table, for up to 200 rows.

Runs a record quality audit and trailing mean series analysis on texture baking data (bake_seconds, texture_pixels) for up to 200 rows, returning two analytical reports.

Generates a reusable, axis-separated wall-collision and movement ES module for a horizontal maze game with the preset 'horizontal-19-d2', customizable by title, seed, and accent color.

Computes adjacent period changes in evidence coverage for token assessment observations, returning a deterministic or threshold-based verdict per row.

Analyzes supplied transformation throughput records (processed_rows, duration_seconds) to produce a duplicate key report and numeric row ordering report for up to 200 rows.

Runs two local analytical reports on transformation throughput data: exact row deduplication and adjacent row change detection, for up to 200 rows of processed_rows or duration_seconds metrics.

Normalises string fields and fills missing values (zero, mean, or median) in transformation throughput records containing processed_rows and duration_seconds metrics, returning two analytical reports for up to 200 rows.

Computes Pearson correlation between processed_rows and duration_seconds, and fills missing values in a chosen field using zero, mean, or median imputation, for up to 200 transformation throughput records.

Normalises strings and performs keyed dataset comparison on UI screen records (widget_count, render_ms) across two supplied datasets of up to 200 rows each.

Delivers a short reflective piece on cherry blossom viewing (hanami) as a metaphor for time-limited appreciation and transient value.

Returns a short-form essay or reflection on cosmic inflation theory, framing explosive universal emergence as a conceptual lens for understanding rapid scale-up and exponential growth.

Meta-router that searches 500+ MCP servers and A2A tools by capability query, returning compressed, firewall-screened results through a single connection

Searches a meta-index of 500+ MCP servers and A2A tools by capability query, returning results with token compression and prompt-injection firewall protection.

Searches a meta-index of 500+ MCP servers and A2A tools by capability keyword, returning matching endpoints with token-compressed metadata via a Prompt-Guard firewall.

Searches and routes to 500+ MCP servers and A2A tools via a single connection, with token compression and prompt injection firewall.

Searches a meta-index of 500+ MCP servers and A2A tools by capability query, returning compressed, firewall-filtered results via a single connection.

Analyzes URL canonicalization records (observed_urls, unique_urls) to produce IQR-based outlier flags and a secondary-measure weighted mean report, processing up to 200 rows offline.

Deduplicates UV layout records by exact row matching and compares two keyed datasets of island_count and occupied_percent values, returning two independent analytical reports.

Runs three analytical reports (record quality audit, string normalisation, and base-100 index series) on up to 200 rows of UV layout data containing island_count and occupied_percent fields.

Normalises string fields and filters UV layout records (island_count, occupied_percent) by a numeric interval, returning two analytical reports for up to 200 rows.

Analyzes up to 200 vendor evaluation records by computing correlation between supplied_score and maximum_score, plus a date-by-category pivot summary.