All Services

Normalizes held-order and released-order retail figures to a base-100 index, enabling relative comparison across time periods or segments.

Sleeps for a random duration between 1 and 20 seconds and returns the elapsed sleep time, used for debugging and latency testing.

Creates paid vote jobs on Base for Telegram (skeleton/moontok/majortrending), CoinGecko, and CoinMarketCap pages, at 0.025 USDC per vote unit via x402 micropayments.

Launches a small coordinated social engagement raid job on X (Twitter) via x402 micropayment on Base, distributing likes, reposts, and comments across human workers paid in USDC.

Pays to unlock access to /api/subscriber-content for a 5-minute session window on the hlrisk.paidapis.net platform

Confirms a one-time $5 USDC activation payment to deploy and enable a SHARP agent on the platform

Returns a random humorous or cryptic fortune about what will happen to your crypto portfolio today, framed as a dice roll.

Returns the current Base mainnet block height and gas price read live from a Base RPC node

Settles and verifies an escrow transaction between autonomous agents on the HumanMirror trust infrastructure

Deduplicates JSON records by identifying and removing duplicate entries from a given dataset using deterministic logic.

Compresses and sanitizes autonomous agent context payloads, validating trigger events and declared connector availability before downstream processing.

Analyzes up to 200 humidity observation records, computing adjacent row changes and two-measure correlation between humidity_percent and observation_count.

Computes a daily sum series and a two-measure correlation analysis for supplied humidity observation records (humidity_percent and observation_count) using local analytical engines, with no external data lookup.

Computes a grouped numeric summary and a two-measure correlation report for supplied humidity observation records (humidity_percent and observation_count) across up to 200 rows.

Analyzes up to 200 humidity observation records to produce IQR-based outlier flags and a secondary-measure weighted mean report.

Runs three analytical reports on supplied humidity observation records: a record quality audit, string normalisation, and category frequency analysis — all offline, up to 200 rows.

Runs string normalisation and category frequency analysis on up to 200 rows of humidity observation records (humidity_percent, observation_count) using local analytical engines.

Runs two local analytical reports on humidity observation records: string normalisation and trailing mean series computation, for up to 200 rows.

Computes category frequency distribution and a secondary-measure weighted mean across supplied illustration estimate records (estimated_hours, actual_hours) for up to 200 rows.

Analyzes supplied illustration estimate records (estimated_hours, actual_hours) with two local analytical reports: numeric row ordering and adjacent row changes, for up to 200 rows.

Runs string normalisation and numeric distribution reports on illustration estimate records (estimated_hours, actual_hours) for up to 200 rows.

Runs two local analytical reports on image export records: adjacent-row change detection and an equal-width histogram, over up to 200 rows of width/height pixel data.

Filters image export records by a numeric interval on one dimension (width or height pixels) and computes a secondary-measure weighted mean across up to 200 supplied rows, returning two independent analytical reports.

Performs a record quality audit and exact row deduplication analysis on image export records (width_pixels, height_pixels) for up to 200 rows, returning two independent analytical reports.

Runs three local analytical reports on image export records: a record quality audit, exact row deduplication, and a numeric interval filter on pixel dimensions — all within a single call for up to 200 rows.

Runs a record quality audit and explicit missing-value fill on image export records (width_pixels, height_pixels) for up to 200 rows, returning two independent analytical reports.

Analyzes up to 200 image export records (width/height pixels) with three bundled reports: record quality audit, string normalization, and correlation between width and height measures.

Normalises string fields and performs keyed row-by-row comparison between two supplied image-export datasets (width_pixels, height_pixels) for up to 200 rows, returning 2 analytical reports.

Analyzes up to 200 rows of image reference inventory data to produce a duplicate key report and numeric distribution for image_count or missing_alt_count fields.

Deduplicates rows and computes a trailing moving-average series for image reference inventory data (image_count, missing_alt_count) across up to 200 rows.

Runs an automated 8-gate pre-flight readiness audit against a given HTTP endpoint to verify compliance with x402 v2, Dexter gas floor, IETF MPP, MCP Streamable HTTP, A2A v0.3.0 agent cards, OASF records, and ERC-8004 identity standards.

Orchestrates a single-call 3-node multi-agent DAG workflow chaining security audits, DeFi/on-chain risk checks, B2B OSINT, and RAG distillation over MCP and A2A protocols.

Compares two sets of closed incident note metadata by ID, revision, service, state, severity, and event digest to detect structural differences, ignoring narrative content and export ordering.

Health-check endpoint that returns the readiness status of the Industrial Platform x402 gateway service.

Sorts infrastructure maintenance records by a numeric field and filters rows within a specified numeric interval, returning up to 2 analytical reports for up to 200 supplied rows.

Audits submitted written content using AI, returning structured analysis and quality feedback.

Analyzes up to 200 internal support records to produce a duplicate key report and a secondary-measure weighted mean for responded_requests or received_requests.

Deduplicates exact duplicate rows and applies numeric row ordering to internal support records (responded_requests, received_requests) across up to 200 rows, returning 2 analytical reports.

Runs string normalisation and secondary-measure weighted mean analytics on up to 200 internal support records (responded_requests, received_requests), producing two independent reports.

Computes numeric distribution statistics and fills missing values for interview transcript records (transcript_words, audio_minutes) across up to 200 rows, returning two analytical reports.

Computes numeric row ordering and trailing mean series for interview transcript data (transcript_words, audio_minutes) across up to 200 rows, returning two analytical reports.

Audits data quality and computes correlation between transcript_words and audio_minutes for up to 200 interview transcript records, producing two independent analytical reports.

Computes adjacent row changes and an equal-width histogram for up to 200 inventory administration records across count_sessions or discrepancy_count fields.

Deduplicates inventory administration rows exactly and reports duplicate keys across count_sessions and discrepancy_count fields for up to 200 rows, producing two analytical reports.

Performs exact row deduplication and numeric distribution analysis on up to 200 inventory administration records with session counts and discrepancy counts.

Deduplicates exact duplicate rows and applies numeric ordering to inventory administration records containing count_sessions and discrepancy_count fields, returning 2 analytical reports for up to 200 rows.

Computes numeric distribution statistics and a base-100 indexed series for up to 200 inventory administration records across count_sessions and discrepancy_count fields.

Filters inventory administration rows by a numeric interval on a chosen field and produces a date-by-category pivot table, returning two analytical reports for up to 200 supplied rows.

Assigns numeric row ranks and computes base-100 index series for up to 200 inventory administration records across count_sessions and discrepancy_count fields.

Ranks inventory session rows by a numeric field and compares two inventory datasets by key, returning two analytical reports for up to 200 rows.

Runs two local analytical reports on inventory administration data: a record quality audit and a duplicate key detection report, for up to 200 rows of count_sessions and discrepancy_count data.

Runs three analytical reports on inventory administration data: record quality audit, exact row deduplication, and category frequency counts for up to 200 rows.

Runs two local analytical reports on up to 200 inventory session/discrepancy rows: a record quality audit and a secondary-measure weighted mean calculation.

Runs two local analytical reports on inventory session data: a record quality audit and a trailing mean series for count_sessions or discrepancy_count fields.

Runs two local analytical reports on inventory administration data: string normalisation of text fields and category frequency counts across team_group, for up to 200 rows.

Normalises strings and removes exact duplicate rows from inventory administration records containing count sessions and discrepancy counts, producing 2 analytical reports for up to 200 rows.

Normalizes strings and performs keyed dataset comparison on inventory administration records tracking count sessions and discrepancy counts across up to 200 rows.

Runs three local analytical reports on issue throughput data (issues_opened, issues_closed): a record quality audit, string normalisation, and a secondary-measure weighted mean — up to 200 rows per call.

Retrieves the list of holders for a specific token on the Surf platform via the JarvisClaw AI API Gateway

Retrieves details or results from a specific marketplace AI model endpoint (#39) via the JarvisClaw OpenAI-compatible API gateway, with pay-per-call billing settled in USDC.

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

Routes a query to an AI model via the JarvisClaw marketplace, billed per call in USDC using the x402 payment protocol on Base or Solana.

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

Routes AI API calls through a smart gateway with pay-per-call billing via x402 protocol, settled in USDC on Base or Solana

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

Queries decentralized exchange (DEX) liquidity data for a given token pair or market via an AI-powered API gateway with pay-per-call billing in USDC.

Routes AI inference requests through JarvisClaw's smart gateway, billed per-call in USDC via x402 protocol, using an OpenAI-compatible interface.

Fetches details or results for marketplace API item #175 through JarvisClaw's OpenAI-compatible AI gateway with x402 micropayment settlement in USDC

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

Computes numeric row ordering and a duplicate_listings-weighted mean for job listing inventory records (listing_count, duplicate_listings) across up to 200 rows, returning two analytical reports.

Normalises string fields and flags IQR-based outliers across listing_count and duplicate_listings fields in job listing inventory records (up to 200 rows, 2 reports).

Searches live web results via Bing to find public job listings and hiring trend data specifically for research-focused teams and roles.

Analyzes join coverage data (matched_rows, source_rows) by computing numeric row ordering and detecting adjacent row changes across up to 200 rows in two independent analytical reports.

Analyzes join coverage records (matched_rows, source_rows) by applying numeric row ordering and numeric interval filtering, producing 2 analytical reports for up to 200 rows.

Computes a secondary-measure weighted mean over join coverage records (matched_rows, source_rows) and fills explicit missing values, returning up to 2 analytical reports for up to 200 rows.

Retrieves install lifecycle hook metadata for the jsonwebtoken npm package to support integration and upgrade planning.

Executes a paid end-to-end diagnostic ping via the x402 payment protocol, echoing the input message and confirming the x402 payment flow is working correctly.

Returns a reusable WASD/arrow-key ES module with normalized diagonal motion, blur reset, and listener disposal for a specific braided-19-d1 game preset.

Returns a reusable WASD/arrow-key ES module with normalized diagonal motion, blur reset, and listener disposal for preset open-15-d1.

Computes a percentage of a given value and returns the numeric result

Estimates the rendered pixel width of an HTML title tag string for SEO optimization purposes

Computes the Poisson probability mass function for a given event count (k) and average rate (lambda), returning the probability result.

Decrypts AES-encrypted ciphertext using a provided password and returns the plaintext result

Compares two text strings using Soundex phonetic matching to determine whether they sound alike

Generates structured job posting schema markup (JSON-LD/Schema.org) from job title, company, location, and description inputs.

Converts a YAML string into its JSON equivalent via a simple POST request

Computes the number of combinations (n choose k) for given integer inputs n and k

Repairs and normalizes malformed or broken JSON text submitted as a string, returning a valid, corrected JSON result

Computes EBITDA from operating revenue, operating expenses, depreciation, and amortization inputs

Computes historical Value at Risk (VaR) for a portfolio or asset given a series of returns and a confidence level

Converts a block of text into a condensed, optimized list of bullet points with a configurable maximum item count

Checks the color contrast ratio between a foreground and background color pair for accessibility compliance

Generates structured job posting schema markup from basic job details like title, company, location, and description

Generates an HMAC-SHA256 hash from a given text and secret key

Renames keys in a JSON object according to a provided key mapping

Validates whether a given string is a valid Bech32-encoded address (e.g. Bitcoin SegWit or similar blockchain addresses)

Corrects grammar in a given text string and returns the processed, corrected result

Computes a SHA-512 cryptographic hash of a given input text string

Minifies a JSON string by removing unnecessary whitespace and formatting to reduce its size

Generates domain name suggestions based on a text description or concept input