All Services

Analyzes up to 200 learning resource usage records to produce a record quality audit and category frequency report for course groups.

Audits data quality of learning resource usage records and computes a weighted mean for a secondary measure (access_count or resource_minutes) across up to 200 rows.

Analyzes up to 200 legal document inventory records to produce a duplicate key report and a secondary-measure weighted mean, using local analytical engines with no external lookups.

Runs a record quality audit and duplicate key report on supplied legal document inventory data (document_count, reviewed_count) for up to 200 rows, returning two independent analytical reports.

Runs three local analytical reports on legal document inventory data: record quality audit, exact row deduplication, and numeric row ordering for up to 200 rows.

Runs three local analytical reports on legal document inventory data: a record quality audit, string normalisation, and a secondary-measure weighted mean calculation for document_count or reviewed_count fields.

Normalises string fields and computes two-measure correlation analysis on legal document inventory records (document_count, reviewed_count) for up to 200 rows, returning two analytical reports.

Returns a consolidated DeFi dashboard overview including yields, protocol stats, and on-chain metrics for a given wallet or address

Answers deep, open-ended crypto intelligence questions using AI (MiMo V2.5), covering DeFi, wallets, tokens, NFTs, and on-chain analytics.

Returns a real-time snapshot of overall crypto market conditions and pulse metrics

Fetches protocol-level statistics and analytics for the Base blockchain network

Retrieves risk assessment data for DeFi yield opportunities, helping users evaluate the safety and risk profile of yield-generating protocols

Returns cross-chain bridge quotes for a specified token pair and amount, showing estimated output, fees, and route details.

Generates AI-powered crypto portfolio advice and strategy recommendations based on user-specified investment goals

Fetches current DeFi yield opportunities and APY data across protocols and pools

Returns a comprehensive DeFi dashboard overview including yields, protocol stats, and key DeFi metrics aggregated across protocols

Returns a real-time snapshot of overall crypto market conditions including sentiment, momentum, and key indicators

Deduplicates up to 200 game level checkpoint records and generates a Base-100 indexed series for completions or retries metrics, returning two analytical reports.

Extracts and returns text length statistics for all H5 (level-five heading) elements found in a given webpage or HTML snippet.

Extracts distinct values of a specified HTML attribute from all H4 heading elements on a given web page or HTML snippet.

Analyzes up to 200 lighting setup records to identify duplicate row keys and compute the correlation between light_count and render_seconds.

Deduplicates lighting setup records by exact row match and produces a grouped numeric summary of light_count or render_seconds metrics across asset groups.

Runs three local analytical reports on lighting setup records: a record quality audit, exact row deduplication, and numeric row ordering by a selected field.

Runs two local analytical reports on lighting setup records: string normalisation and adjacent row changes for light_count or render_seconds.

Normalises string fields and computes category frequency counts for lighting setup records containing light_count and render_seconds fields, returning two analytical reports for up to 200 rows.

Performs string normalisation and secondary-measure weighted mean analytics on lighting setup records (light_count, render_seconds) for up to 200 rows, returning two reports.

Filters link inventory rows by a numeric interval and computes trailing moving averages for internal or external link counts across up to 200 supplied rows.

Runs three local analytical reports on link inventory records: record quality audit, string normalisation, and numeric interval filter for internal_links and external_links fields.

Validates a VAT number and returns a structured JSON result including asset resolution status, accessible via micropayment over x402 protocol.

Returns attested deep-research JSON data for the LION asset, payable via x402 micropayment in USDC on Base.

Computes adjacent row-to-row changes and a secondary-measure weighted mean across up to 200 liquidity observation records (base_quantity, quote_quantity) using local analytical engines.

Deduplicates liquidity observation records and generates a date-by-instrument-group pivot table for base_quantity or quote_quantity fields, returning two analytical reports for up to 200 rows.

Runs three offline analytical reports on uploaded liquidity observation records: a record quality audit, string normalisation, and a two-measure Pearson/rank correlation between base_quantity and quote_quantity fields.

Runs a live nuclei-based security scan of the host relay402.georgespring.workers.dev to detect weak TLS, open services, and misconfigurations.

Runs a live Nuclei-based security scan on wouldpayagain.com to detect weak TLS, open services, and misconfigurations

Searches live public web pages to find business hours information relevant to technology buyers, returning source links and snippets.

Deduplicates and numerically orders local event calendar records (listed_events, updated_events) across up to 200 rows, returning two analytical reports.

Sorts up to 200 rows of local event calendar data by numeric value and computes a correlation between listed_events and updated_events across those rows, returning two independent analytical reports.

Runs three analytical reports (record quality audit, exact row deduplication, and equal-width histogram) on up to 200 rows of local event calendar data containing listed_events and updated_events fields.

Runs three analytical reports (record quality audit, string normalisation, and two-measure correlation) on up to 200 rows of local event calendar data containing listed_events and updated_events fields.

Normalises string fields and flags IQR-based outliers in local event calendar records (listed_events, updated_events) for up to 200 rows, producing two independent analytical reports.

Analyzes localization coverage records (source_strings, translated_strings) to produce category frequency distributions and a base-100 indexed time series, delivered as two independent analytical reports.

Deduplicates exact duplicate rows and fills missing values in localization coverage data (source_strings, translated_strings) for up to 200 records, returning 2 analytical reports.

Computes numeric distribution statistics and a secondary-measure weighted mean for localization coverage data (source_strings, translated_strings) across up to 200 rows.

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

Sorts localization coverage rows numerically and fills missing source_strings or translated_strings values using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.

Audits localization coverage records for data quality issues and filters rows by a numeric interval across source_strings or translated_strings fields, producing two analytical reports for up to 200 rows.

Runs three analytical reports on localization coverage data: a record quality audit, string normalisation, and a date-by-category pivot, for up to 200 rows of source/translated string counts.

Analyzes localization coverage data by performing string normalization and computing adjacent row changes across up to 200 supplied rows, returning two independent analytical reports.

Runs two local analytical reports (string normalisation and numeric distribution) on supplied localization coverage data (source_strings, translated_strings) for up to 200 rows.

Computes adjacent row delta changes and two-measure Pearson/rank correlation for loot observation records (drop_count, attempt_count) across up to 200 rows.

Computes numeric row ordering and secondary-measure weighted mean analytics on up to 200 loot observation records (drop_count, attempt_count) using local analytical engines.

Normalises game_area strings and computes adjacent row changes for loot observation records (drop_count or attempt_count) across up to 200 rows, returning 2 analytical reports.

Performs a web search query and returns results, accessible via USDC micropayment on Solana or Base.

Retrieves current mempool data for blockchain transaction monitoring, likely showing pending transactions on Solana or Base networks.

Returns an AI-generated alpha trading signal for crypto markets, paid via USDC micropayment on Solana or Base.

Purchases a day pass granting access to the Losbeto AI trading swarm endpoints via USDC micropayment on Solana or Base.

Runs a stress test analysis on a financial portfolio to assess risk and resilience under adverse market conditions.

Tests whether a raycast hits a target in 3D space, returning hit/miss results for geometric ray-object intersection queries.

Detects and resolves deadlock conditions in multi-agent systems by analyzing agent state data and returning resolution strategies.

Negotiates and optimizes bulk shipping rates and logistics terms by processing shipping data and returning negotiated pricing or carrier recommendations.

Analyzes a transaction hash to detect whether it is associated with DeFi fraud or malicious activity, returning a boolean verdict.

Bridges Sigfox IoT backend data to MCP-compatible agents, enabling processing of Sigfox device messages and telemetry.

Analyzes and removes semantically redundant content from text, returning a pruned version with duplicate or overlapping meaning eliminated.

Tracks and processes green hydrogen production, pricing, and market data for agentic workflows.

Processes AR Kit blendshape data to extract, map, or analyze facial expression coefficients for augmented reality applications.

Audits and analyzes water cooling system efficiency, providing performance metrics and optimization recommendations.

Issues green compute certificates verifying that computational workloads meet sustainability or carbon-offset criteria

Renders audio using Head-Related Transfer Function (HRTF) processing to produce 3D binaural spatial audio output

Flashes or manages Sonoff IoT devices with Tasmota firmware via a remote API endpoint

Generates cryptographically verifiable random outputs using a VRF oracle, providing tamper-proof randomness with on-chain or off-chain verifiability.

Detects semantic drift in text data, identifying when meaning, tone, or conceptual direction has shifted from a reference baseline.

Processes multi-touch attribution analysis to assign credit across marketing touchpoints in a customer journey

Prevents multiple AI agents from simultaneously executing conflicting or duplicate actions by coordinating and arbitrating agent task assignments.

Analyzes and optimizes Power Usage Effectiveness (PUE) metrics and configurations for datacenter energy efficiency

Retargets facial motion capture data to new rigs or blendshape targets, mapping raw mocap inputs to compatible animation outputs

Processes queries and commands related to Helium network miners, returning miner data, status, and network information.

Analyzes input data to identify and fingerprint GPU hardware characteristics and configurations

Scores the quality of training data samples to determine their suitability for fine-tuning language models

Verifies L402 payment credentials and proofs across multiple blockchain networks

Mints NFT-based invoices on-chain by processing invoice data and converting it into a non-fungible token record.

Processes smart lock commands and access management for Airbnb properties via a managed MCP-compatible API endpoint

Detects and identifies planes (flat surfaces) in augmented reality scenes from input data, returning surface detection results for AR applications.

Processes proof-of-work CAPTCHA challenges to verify computational effort and grant access or attestation to automated agents

Encodes audio or spatial audio data into Ambisonics B-format, a standard multi-channel representation for 3D spatial audio.

Processes video or image data to extract and solve 3D camera motion and matchmove tracking information using an MCP-compatible API.

Computes the probability of default for a given entity or dataset using a credit risk model

Imports and processes VRoid 3D avatar model data for use in agentic or downstream pipelines

Revokes AWS access keys via a webhook-triggered process, disabling compromised or unused credentials programmatically.

Filters and screens text data for darknet addresses (e.g. .onion URLs, hidden service identifiers) to detect and flag illicit or hidden network references.

Merges fine-tuned model weights from multiple models into a single combined model via a managed API endpoint.

Matches technical specifications against known standards, requirements, or product databases to identify compatibility, compliance, or fit

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

Checks availability and inventory status of replacement parts or substitute items for a given product or component.

Tracks and calculates return on investment metrics for influencer marketing campaigns

Provisions and manages private large language model instances on demand for isolated, dedicated inference workloads.

Assesses and returns default risk scores or credit risk signals for a given entity or data input

Calculates or analyzes the Coefficient of Performance (COP) efficiency for chiller systems given operational data

Analyzes ad click data to detect fraudulent or bot-driven click activity in digital advertising campaigns

Retrieves or analyzes Uber surge pricing data for a given location or ride request context