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Deduplicates exact rows and computes daily sum time series for fact-check workflow data (claims_reviewed, references_collected) across up to 200 rows, returning 2 analytical reports.
Computes a grouped numeric summary and applies a numeric interval filter on user-supplied fact check workflow records (claims_reviewed, references_collected) for up to 200 rows.
Compares two keyed fact-check workflow datasets (claims reviewed vs references collected) row-by-row and fills missing values, producing two analytical reports for up to 200 rows.
Computes numeric distribution statistics and row ordering reports for fact-check workflow data (claims reviewed and references collected) across up to 200 rows.
Runs two local analytical reports on fact-check workflow data: a record quality audit and a daily sum time series, for up to 200 rows of claims_reviewed or references_collected metrics.
Returns information about a specified DeFi (decentralized finance) protocol by name
Searches a decentralized exchange (DEX) index using a natural language or token query
Returns a list of blockchain networks that support stablecoin payments (e.g. USDC) for the fastapi.online pay-per-call API
Runs three local analytical reports (record quality audit, exact row deduplication, and daily sum series) on up to 200 feature availability records containing populated_features and expected_features fields.
Computes a secondary-measure weighted mean and fills explicit missing values for feature availability records (populated_features, expected_features) across up to 200 rows.
Analyzes feature availability records by performing string normalisation and detecting adjacent row changes across up to 200 rows, producing 2 independent analytical reports.
Normalises string representations and fills missing values in feature availability records (populated_features, expected_features) for up to 200 rows, producing 2 analytical reports.
Identifies exact normalised duplicate text records within a labelled feedback dataset of up to 200 entries across quality, price, delivery, and support themes.
Audits record quality, normalises strings, and filters by numeric interval for up to 200 feed observation rows in a single call, producing 3 independent analytical reports.
Computes a secondary-measure weighted mean and fills missing values in feed observation records (item_count, duplicate_items) for up to 200 rows, returning 2 analytical reports.
Normalises strings and identifies exact duplicate rows in feed observation records (item_count, duplicate_items) across up to 200 rows, returning 2 analytical reports.
Analyzes cross-chain capital flows to surface liquidity movement and fund transfer patterns across multiple blockchain networks
Provides pay-per-call access to a Codex-branded MCP tool endpoint via a JSON-RPC 2.0 forwarding proxy on FiatDock's marketplace
Computes category-level frequency distributions and IQR-based outlier flags for field survey coverage records (surveyed_m2 and target_m2), returning two analytical reports for up to 200 rows.
Compares two keyed field survey coverage datasets (surveyed_m2, target_m2) row by row and fills missing values explicitly, producing two analytical reports for up to 200 rows.
Runs three analytical reports on field survey coverage data: record quality audit, exact row deduplication, and numeric interval filtering on surveyed_m2 or target_m2 values.
Runs three local analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 field survey coverage records containing surveyed_m2 and target_m2 values.
Audits, normalises, and deduplicates up to 200 field survey coverage records (surveyed_m2, target_m2) across three independent analytical reports.
Normalises string fields and computes two-measure correlation across up to 200 field survey coverage records (surveyed_m2, target_m2), producing two independent analytical reports.
Deduplicates exact rows and produces a grouped numeric summary (by instrument group) for financial statement input records containing revenue and expense amounts.
Sorts financial statement rows by revenue or expense amount and filters them to a numeric range, returning up to 2 analytical reports for up to 200 rows of supplied financial data.
Audits data quality and filters by numeric interval for financial statement rows containing revenue and expense amounts
Normalises string fields and produces a date-by-category pivot table from up to 200 rows of financial statement data (revenue and expense amounts).
Normalises string fields and fills missing revenue or expense values (zero, mean, or median) in up to 200 financial statement rows, returning two analytical reports.
Converts an arbitrary text string into a URL-safe slug using deterministic string transformation
Audits data quality and normalises strings in firewall rule review records (rules_reviewed, rules_removed) across up to 200 rows, producing two independent analytical reports.
Returns AI-generated answers for a given address/token via a pay-per-request x402 micropayment model at $0.03 USDC per call
Grants a 30-day premium subscription entitlement unlocking advanced filters and trending sort features via a micropayment.
Analyzes font production records (glyph_count, kerning_pairs) to produce category frequency distributions and a keyed comparison between two supplied datasets, using local analytical engines with no external lookups.
Runs three analytical reports on font production records (glyph_count, kerning_pairs): record quality audit, string normalisation, and trailing mean series computation, for up to 200 rows.
Computes a secondary-measure weighted mean and performs a keyed dataset comparison on up to 200 font production records (glyph_count, kerning_pairs), returning 2 analytical reports.
Computes adjacent row changes and secondary-measure weighted mean analytics on up to 200 forecast verification input records (forecast_value, observed_value) using local analytical engines.
Runs two local analytical reports on forecast verification data: a duplicate key detection report and a base-100 index series, for up to 200 rows of forecast/observed value pairs.
Analyzes forecast verification data (forecast_value, observed_value) to produce a duplicate key report and a date-by-category pivot table for up to 200 rows.
Computes IQR-based outlier flags and secondary-measure weighted mean statistics on up to 200 rows of forecast vs. observed value pairs.
Computes a numeric distribution report and a numeric row ordering report for forecast_value and observed_value data, analyzing up to 200 rows of forecast verification records locally without any live lookups or external calls.
Runs a record quality audit and a grouped numeric summary on up to 200 rows of forecast_value/observed_value pairs, returning two analytical reports computed locally.
Runs three local analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 forecast verification input rows containing forecast and observed values.
Runs three local analytical reports (record quality audit, string normalisation, and duplicate key detection) on up to 200 rows of forecast-vs-observed weather verification data.
Computes two independent statistical reports — a two-measure correlation and a keyed dataset comparison — on supplied forecast vs. observed value records, up to 200 rows each.
Computes Pearson correlation between forecast and observed values, plus a weighted mean of a secondary measure, for up to 200 forecast verification records.
Analyzes form inventory records to compute adjacent row changes and two-measure correlation between field_count and labelled_fields for up to 200 rows.
Runs a record quality audit and numeric distribution report on form inventory data (field_count, labelled_fields) for up to 200 rows in a single call.
Normalises strings and generates a duplicate key report for up to 200 form inventory records containing field_count and labelled_fields data.
Ranks forum topic activity rows numerically and computes a secondary-measure weighted mean for thread_count or reply_count data across up to 200 rows.
Runs three local analytical reports (record quality audit, exact row deduplication, grouped numeric summary) on submitted forum topic activity data containing thread and reply counts.
Analyzes supplied frame timing records to produce a duplicate key report and a draw-calls-weighted mean of frame_ms (or vice versa) for up to 200 rows.
Deduplicates frame timing rows and fills missing frame_ms or draw_calls values using zero, mean, or median for up to 200 records, returning 2 analytical reports.
Computes numeric row ordering and a Base-100 indexed series for up to 200 frame timing records (frame_ms and draw_calls), returning two analytical reports per call.
Runs three local analytical reports on frame timing data (frame_ms, draw_calls): a record quality audit, string normalisation, and category frequency counts — up to 200 rows per call.
Normalises strings and compares two keyed datasets of frame timing records (frame_ms, draw_calls) across up to 200 rows, producing 2 analytical reports.
Deduplicates exact duplicate rows and applies numeric ordering to supplied freight movement records (tonnes_moved, journey_count) across up to 200 rows, returning 2 analytical reports.
Accepts a message string via x402 micropayment and echoes it back, confirming paid access to the SatsForge micro-task agent gateway.
Fetches and extracts clean text content from a URL via HTTP GET, returning chunked readable text with word count metadata
Generates an equal-width histogram and a keyed dataset comparison report for supplied geospatial tile processing records (tile_count, processing_seconds) across up to 200 rows.
Deduplicates geospatial tile processing records and compares two keyed datasets, returning two analytical reports for up to 200 rows.
Runs two local analytical reports on geospatial tile processing records: a record quality audit and a daily sum time series, for up to 200 rows of tile_count or processing_seconds data.
Runs three analytical reports on geospatial tile processing records: record quality audit, exact row deduplication, and numeric distribution for tile_count or processing_seconds fields.
Runs a record quality audit and IQR-based outlier detection on geospatial tile processing records (tile_count, processing_seconds) for up to 200 rows, returning two independent analytical reports.
Runs three local analytical reports on geospatial tile processing records: a record quality audit, string normalisation, and a trailing mean time series — no external lookups or live data.
Computes a trailing moving-average series and fills missing values in geospatial tile processing records (tile_count, processing_seconds) for up to 200 rows, returning two analytical reports.
Returns the root/index response for the Instagram data API service at withzero.ai, likely providing API discovery or service info
Returns the payment contract or service terms/configuration for the quakes.withzero.ai earthquake data API
Returns the service contract / terms-of-use document for the instagram.withzero.ai API, describing pricing, usage policies, and capabilities.
Searches X (Twitter) via a pay-per-call API using the x402 protocol on Base chain
Scrapes and retrieves product, seller, or listing data from Amazon via a pay-per-call API endpoint.
Proxies Walmart product data via the Axesso API, returning product details, prices, and listings from Walmart's catalog.
Fetches CNBC financial news and market data via a pay-per-call x402 endpoint on Base chain.
Provides access to X (Twitter) social media data via a pay-per-call API using the x402 protocol on Base chain.
Computes adjacent row changes and two-measure correlation analytics on glossary coverage records (covered_terms, required_terms) for up to 200 supplied rows.
Computes category-level frequency distributions and two-measure correlation analysis for glossary coverage records (covered_terms vs. required_terms) on up to 200 supplied rows.
Analyzes glossary coverage records to produce a duplicate key report and category frequency breakdown for up to 200 rows using local analytical engines.
Filters glossary coverage rows by a numeric interval on covered_terms or required_terms, and fills missing values using zero, mean, or median imputation — returning 2 analytical reports for up to 200 rows.
Audits glossary coverage records (covered_terms, required_terms) for data quality issues and normalises strings, returning two independent analytical reports for up to 200 rows.
Looks up lottery-related data by a given identifier, returning regulated lottery information via a keyless pay-per-call API.
Generates lorem ipsum placeholder text with a specified number of paragraphs via pay-per-call API
Searches Airbnb listings by location or keyword query, returning short-term rental options via a pay-per-call keyless API.
Returns the cheapest available flight options for a given route or search argument
Retrieves contact information for an Instagram user profile by username or identifier, paid per-call via USDC with no API key required.
Fetches and returns data from the VSCode Marketplace or VSCode extension registry for a given argument via a pay-per-call scrape endpoint
Pings cross-chain bridge routes to check availability, quote freshness, latency, and route warnings for automated buyers.
Diagnoses quote-to-settlement gaps and returns a full recovery plan including route priority, pricing moves, metadata fixes, and buyer payment client remediation for x402 marketplace sellers.
Purchase a prepaid sub2api OpenAI-compatible API key with a custom USD quota for the Codex GPT-5.5 group, returned after x402 payment settlement.
Generates SEO-optimized content based on a given topic or prompt input
Generates a reusable four-neighbour breadth-first shortest-path ES module for the braided-23-d3 preset maze, with solved exit and collectible routes, configurable title, seed, and accent color.
Returns a pre-solved BFS shortest-path ES module for a horizontal-15-d3 grid map with configurable title, seed, and accent color
Returns a reusable four-neighbour breadth-first shortest-path ES module with preset map and solved exit/collectible routes for the horizontal-19-d4 grid layout.
Returns a reusable four-neighbour breadth-first shortest-path ES module with a preset open-11-d4 map, solved exit and collectible routes, configurable title, seed, and accent color.
Returns a reusable four-neighbour breadth-first shortest-path ES module with a preset vertical maze map and solved exit/collectible routes, configurable by title, seed, and accent color.
Retrieves a time-windowed observability log of agent activity across Growaify's commerce infrastructure, covering orders, payments, and deliverables.
Analyzes media content to determine cue word coverage in the Baumarkt (hardware/DIY store) domain
Performs literal-vocabulary keyword search over an index of interview and educational media content, returning timestamped or indexed passage results for publication planning.
Compares two timestamped snapshots of speaker-time media content from the Baumarkt (hardware/home-improvement) domain to surface differences in editorial or spoken content over time.
Analyzes and balances subtitle line lengths for media content in a Baumarkt (home improvement/retail) context, returning line-length balance metrics or reformatted subtitle lines.
Compares two snapshots of an engineering-performance literal index to identify changes, differences, or regressions between them