All Services

Translates audio content into text using an OpenAI-compatible API gateway with per-call micropayment billing settled in USDC

Routes AI inference requests through a pay-per-call marketplace gateway (endpoint #770), settling micropayments in USDC on Base or Solana via x402.

Routes a query to an AI model via a marketplace endpoint, billed per-call in USDC using the x402 payment protocol

Routes a query to a specific AI model or service via the JarvisClaw marketplace, with per-call USDC payment settled on Base or Solana.

Routes an AI API request through the JarvisClaw smart gateway using pay-per-call x402 micropayments, returning an OpenAI-compatible response settled in USDC.

Routes AI API calls through a smart gateway with pay-per-call billing via x402, settling in USDC on Base or Solana, with OpenAI-compatible interface.

Routes AI API requests through a smart marketplace gateway with pay-per-call billing via x402, OpenAI-compatible interface, settled in USDC on Base or Solana

Routes AI API calls through a pay-per-call marketplace gateway (endpoint #136), settling payments in USDC via x402 on Base or Solana, with OpenAI-compatible request/response format.

Routes AI/LLM API calls via an OpenAI-compatible gateway with smart routing, pay-per-call billing settled in USDC on Solana.

Optimizes and refines AI prompts to improve their quality, clarity, and effectiveness before sending to a language model.

Routes an AI query through JarvisClaw's smart gateway marketplace, returning an AI-generated response via an OpenAI-compatible interface, paid per call in USDC.

Routes an AI query through JarvisClaw's smart-routing marketplace gateway, billed per-call via x402 in USDC, using an OpenAI-compatible interface.

Routes an AI query through JarvisClaw's marketplace gateway (endpoint #442), returning an AI-generated response via an OpenAI-compatible interface, billed per-call in USDC via x402.

Routes an AI query through JarvisClaw's OpenAI-compatible marketplace gateway, charging per call in USDC via x402 payment protocol on Base or Solana.

Routes AI API calls through a smart gateway with pay-per-call billing via x402, settling in USDC on Base or Solana, for a specific marketplace API slot

Routes AI inference requests through a smart OpenAI-compatible gateway, paying per call in USDC via x402 protocol on Base or Solana

Routes an AI query through JarvisClaw's smart gateway to a marketplace-listed AI service (endpoint #71), billed per-call in USDC via x402 on Base or Solana.

Queries an AI-powered prediction market analysis endpoint via an OpenAI-compatible gateway, settled in USDC on Base or Solana via x402 micropayments.

Routes AI API requests through a pay-per-call OpenAI-compatible gateway, settled in USDC on Base or Solana via x402 micropayments.

Initiates an outbound AI-powered phone voice call via a pay-per-call gateway settled in USDC

Purchases a $50 JCPenney gift card redeemable at JCPenney stores and jcp.com for clothing, home goods, jewelry, and salon services

Returns a structured premium playbook on how to grow a cleaning business, written by a Phoenix operator building businesses in public.

Returns a structured playbook on building and operating a speed-to-lead system for business operators, authored by Phoenix entrepreneur Jesse Gabriellini.

Returns a premium playbook on agent safety as a buyer's guide, authored by a Phoenix operator building businesses in public.

Returns a structured playbook (sections, tier, slug) detailing how to set up a Shopify appointments stack, published by a Phoenix operator building businesses in public.

Purchases exactly 5 USDC worth of ROLLAK tokens (0x287f28Ea9740D09cdff1ddd1faC4209fc40BdB07) and delivers them to the caller

Purchases 1 USDC worth of JND tokens on-chain and returns the tokens received along with transaction hashes

Validates a CSV of job execution records and identifies blank or empty rows, returning a detailed blank-row report.

Validates calendar date fields in a job execution CSV import, checking up to 1000 rows against a declared contract.

Validates that all category-type values in a job execution CSV fall within a declared allowlist of permitted categories.

Validates a CSV table of job execution import data and returns per-column statistics for up to 1000 rows.

Validates a job execution CSV table contract (up to 1000 rows) against declared rules, checking structure, ranges, categories, and cell lengths without external enrichment.

Validates a CSV of job execution records and returns a report of exact row duplicates within that dataset.

Validates the header contract (column names and structure) of a CSV file containing job execution import data, checking up to 1000 rows.

Validates a job execution imports CSV table and returns a located error report identifying cell-level issues up to 1000 rows.

Validates numeric columns in a job execution CSV against declared minimum and maximum bounds, returning a range-check compliance report for up to 1000 rows.

Validates that all numeric columns in a job-execution CSV conform to declared type constraints (min, max, allowed categories, cell length) and returns a type-check report.

Validates that all record keys (primary key column) in a CSV of job execution import data are unique, reporting any duplicates across up to 1000 rows.

Validates a CSV table of job execution import data and flags cells containing spreadsheet formulas, up to 1000 rows.

Validates and type-converts a CSV of job execution records (up to 1000 rows), trimming whitespace and reporting typed conversion results.

Validates and audits whitespace issues in a CSV file representing job execution import data, up to 1000 rows.

Computes adjacent row changes and a date-by-category pivot table for job listing inventory data (listing_count, duplicate_listings) across up to 200 rows.

Computes adjacent row changes and fills explicit missing values for job listing inventory records (listing_count, duplicate_listings) across up to 200 rows.

Computes adjacent row-to-row changes and IQR-based outlier flags for job listing inventory metrics (listing_count, duplicate_listings) across up to 200 supplied rows, returning two analytical reports.

Runs two local analytical reports on job listing inventory data: adjacent row change detection and keyed dataset comparison, for up to 200 rows.

Computes adjacent row-to-row changes and a secondary-measure weighted mean for up to 200 rows of job listing inventory data (listing_count, duplicate_listings).

Computes adjacent-row delta changes and Pearson/rank correlation between listing_count and duplicate_listings for up to 200 supplied job listing inventory records.

Generates a Base-100 indexed time series and an equal-width histogram for job listing inventory data (listing_count or duplicate_listings) from up to 200 supplied rows.

Transforms up to 200 rows of job listing inventory data (listing_count, duplicate_listings) into Base-100 indexed series and fills missing values using zero, mean, or median imputation.

Computes a Base-100 index series and a secondary-measure weighted mean for supplied job listing inventory data (listing_count, duplicate_listings) across up to 200 rows.

Computes a Base-100 index series and a two-measure correlation report for supplied job listing inventory data (listing_count and duplicate_listings) across up to 200 rows.

Analyzes supplied job listing inventory records to produce category frequency counts and adjacent row change reports for listing_count or duplicate_listings metrics.

Analyzes supplied job listing inventory rows to produce two local reports: category frequency distribution across company groups, and a date-by-category pivot table for listing_count or duplicate_listings.

Analyzes up to 200 job listing inventory rows to produce category frequency distributions and explicitly fill missing values for listing_count and duplicate_listings fields.

Computes category frequencies and IQR-based outlier flags for job listing inventory records (listing_count, duplicate_listings) across up to 200 rows, producing two independent analytical reports.

Analyzes up to 200 job listing inventory records to produce two local analytical reports: category frequency distributions and a keyed row-by-row comparison between two supplied datasets.

Computes category frequency distributions and numeric interval filters on job listing inventory data (listing_count, duplicate_listings) for up to 200 supplied rows.

Analyzes supplied job listing inventory records to produce category frequency counts and numeric row ordering across up to 200 rows in two independent reports.

Computes category frequencies and a secondary-measure weighted mean for up to 200 job listing inventory records (listing_count, duplicate_listings) in two independent analytical reports.

Computes category-level frequency distributions and trailing moving-average series for job listing inventory data (listing_count, duplicate_listings) across up to 200 rows.

Computes category frequency distributions and Pearson/two-measure correlation between listing_count and duplicate_listings for supplied job listing inventory rows (up to 200 rows, two reports per call).

Computes a daily sum time series and adjacent row-to-row changes for job listing inventory data (listing_count, duplicate_listings) across up to 200 supplied rows.

Computes a daily sum time series and an equal-width histogram for job listing inventory metrics (listing_count or duplicate_listings) from up to 200 supplied rows.

Computes daily sum time series and fills missing values for job listing inventory data (listing_count, duplicate_listings) across up to 200 rows.

Computes a daily sum series and a trailing moving average series for supplied job listing inventory data (listing_count or duplicate_listings) using local analytical engines.

Computes a daily sum time series and a two-measure correlation report for supplied job listing inventory data (listing_count and duplicate_listings) using local analytical engines.

Pivots job listing inventory data (listing_count, duplicate_listings) by date and company group, with explicit missing-value fill using zero, mean, or median imputation — delivered as two analytical reports for up to 200 rows.

Analyzes supplied job listing inventory records to produce a duplicate key report and adjacent row change analysis for up to 200 rows.

Generates a duplicate key report and a daily sum time series for up to 200 rows of job listing inventory data (listing_count, duplicate_listings) using local analytical engines.

Runs two local analytical reports on supplied job listing inventory data: a duplicate key report and a date-by-category pivot, for up to 200 rows.

Analyzes up to 200 job listing inventory rows to produce a duplicate key report and an equal-width histogram for either listing_count or duplicate_listings fields.

Analyzes up to 200 job listing inventory rows to produce a duplicate key report and fill missing values (listing_count or duplicate_listings) using zero, mean, or median imputation.

Analyzes supplied job listing inventory records to produce a duplicate key report and IQR-based outlier flags for listing_count or duplicate_listings fields, across up to 200 rows.

Analyzes up to 200 rows of job listing inventory data to produce a duplicate key report and a numeric distribution report for listing_count or duplicate_listings fields.

Analyzes up to 200 job listing inventory rows to produce a duplicate key report and a numeric interval filter report for listing_count or duplicate_listings fields.

Generates two analytical reports (duplicate key detection and trailing mean time series) for up to 200 rows of job listing inventory data, operating entirely on supplied data with no external lookups.

Analyzes supplied job listing inventory records to produce a duplicate key report and a two-measure correlation analysis between listing_count and duplicate_listings for up to 200 rows.

Runs two local analytical reports — an equal-width histogram and a date-by-category pivot — on up to 200 job listing inventory records containing listing_count and duplicate_listings fields.

Generates an equal-width histogram and a keyed dataset comparison report for up to 200 job listing inventory records (listing_count, duplicate_listings) using local analytical engines.

Computes an equal-width histogram and a two-measure Pearson/Spearman correlation report for supplied job listing inventory records (listing_count and duplicate_listings) using local analytical engines.

Deduplicates job listing inventory rows and generates a Base-100 index series for listing_count or duplicate_listings metrics across up to 200 supplied rows.

Deduplicates job listing inventory rows and computes category-level frequencies for listing_count and duplicate_listings fields across up to 200 supplied records.

Deduplicates job listing inventory rows exactly and computes daily sum time series for listing_count or duplicate_listings fields across up to 200 supplied records.

Deduplicates job listing inventory rows and generates a duplicate key report for up to 200 records, returning two independent analytical reports.

Performs exact row deduplication and equal-width histogram analysis on job listing inventory records (listing_count, duplicate_listings) for up to 200 rows.

Deduplicates exact rows and fills missing values (zero, mean, or median) in job listing inventory records containing listing_count and duplicate_listings fields.

Deduplicates exact rows and produces a grouped numeric summary for job listing inventory records (listing_count, duplicate_listings) across up to 200 rows.

Deduplicates exact rows and flags IQR-based outliers across listing_count and duplicate_listings fields in supplied job listing inventory records (up to 200 rows, 2 reports per call).

Deduplicates job listing inventory rows and performs keyed comparison between two datasets of up to 200 rows each, returning two analytical reports.

Deduplicates job listing inventory rows and filters records by a numeric interval across listing_count or duplicate_listings fields, returning two analytical reports for up to 200 rows.

Deduplicates exact rows and computes a secondary-measure weighted mean for up to 200 job listing inventory records, returning 2 analytical reports.

Runs exact row deduplication and trailing mean series analysis on supplied job listing inventory records (listing_count, duplicate_listings) for up to 200 rows.

Computes a grouped numeric summary and adjacent row-to-row changes for up to 200 job listing inventory records (listing_count, duplicate_listings) using local analytical engines.

Analyzes supplied job listing inventory records to produce a grouped numeric summary and category frequency report for listing_count or duplicate_listings fields.

Computes a grouped numeric summary and a daily sum time series for supplied job listing inventory records (listing_count, duplicate_listings) — up to 200 rows, two reports per call.

Computes grouped numeric summaries and fills missing values (zero/mean/median) for job listing inventory data (listing_count, duplicate_listings) across up to 200 rows, producing 2 analytical reports.

Computes grouped numeric summary statistics and IQR-based outlier flags for job listing inventory data (listing_count, duplicate_listings) across up to 200 rows, producing two analytical reports.

Computes a grouped numeric summary and a keyed dataset comparison for job listing inventory records (listing_count, duplicate_listings) across up to 200 rows using local analytical engines.

Computes grouped numeric summaries and applies a numeric interval filter on job listing inventory data (listing_count, duplicate_listings) for up to 200 rows, returning 2 analytical reports.

Computes a grouped numeric summary and a two-measure correlation report for job listing inventory data (listing_count and duplicate_listings) supplied by the caller, using local analytical engines with no external lookups.