All Services

Sends a natural language query to a GPT-5-powered API endpoint protected by x402 micropayments on Base, returning AI-generated responses

Runs a screener query against an official dataset via a micropayment-gated API endpoint on Base

Returns weather data for a given query, served as a micropayment-gated endpoint on Base via x402

Mints 5,000 X402ID tokens (TIER_5K) on the x402name.com platform for $1 USDC per call

Mints 25,000 X402ID tokens at the TIER_25K level for $5 USDC via the x402 payment protocol

Mints and delivers 10 x402 Pepe Pixel NFTs for $5 USDC via the x402 payment protocol

Compares dated stored unpaid quote observations to identify changes between snapshots, returning a structured diff report.

Returns a blended consensus temperature at a lat/lon point by fusing multiple weather sources (Open-Meteo, NOAA-NWS, 7timer) with agreement scoring, paid per-call via x402 USDC microtransaction.

Takes a 5-field cron expression and returns the next N scheduled run times in a specified timezone

Performs datetime operations including fetching the current time, converting between timezones, adding durations, and computing differences between two timestamps.

Returns a paid diagnostic JSON response for the 'healthpaidskew' SKU, confirming x402 payment flow and endpoint health via the OpenX402 facilitator.

Accepts a code snippet and returns a plain-language explanation of what the code does

Executes a paid x402 trust infrastructure API call (guard, escrow, mandate, compliance, disputes, or orchestration) via MCP tools endpoint with USDC micropayment settlement.

Evaluates semantic and schema quality scores for an API interaction and decides whether to release or hold an escrowed payment to the merchant.

Returns geolocation and metadata for the caller's or a specified IP address, charged per call in USDC on Base via x402.

Processes a USDC payment to purchase X404 meme tokens via the x402 payment protocol

Returns a simple liveness confirmation with a timestamp to verify the paid x402 endpoint is operational.

Generates a stylometric or content fingerprint for a given text input, returning a unique signature that characterizes the text.

Returns resolved Bitcoin 15-minute Up/Down prediction market data with labeled feature snapshots, risk breakdowns, and buyer/seller playbook guidance for autonomous trading agents.

Fetches a specific discussion thread by ID from the YRUZ social network platform

Purchases $5 USDC worth of ztaiff tokens (contract 0x9fCF9Fc287f40e7cB8f0EB56CeC9950921831B07) and returns transaction details

Provides Taiwan-focused home blood glucose monitoring guidance, tracking tips, and reference information with official sources.

Computes adjacent row-over-row changes and base-100 index series for supplied accessibility findings and resolved_findings data (up to 200 rows, 2 reports).

Computes a trailing mean time series and a two-measure (findings vs resolved_findings) correlation report for up to 200 accessibility findings records.

Runs a record quality audit and a secondary-measure weighted mean analysis on up to 200 accessibility review rows (checked_resources, remediated_resources), returning two independent analytical reports.

Runs string normalisation and an equal-width histogram analysis on accessibility review records (checked_resources, remediated_resources) for up to 200 rows, returning two local analytical reports.

Analyzes up to 200 account research coverage records, producing two reports: one showing adjacent row-to-row changes and one filling missing values using zero, mean, or median imputation.

Deduplicates exact rows and computes a trailing mean series for account research coverage data (researched_accounts, target_accounts) across up to 200 rows.

Normalises strings and computes two-measure correlation analysis on account research coverage data (researched_accounts vs target_accounts) for up to 200 rows.

Returns on-chain whale momentum data for a given token symbol, including buy/sell pressure and large-wallet activity signals.

Streams distilled intelligence across on-chain risk, DEX token data, B2B leads, domain OSINT, email verification, SEC filings, GitHub audits, and web content compression via a single B2A API endpoint.

Returns distilled geopolitical odds and risk intelligence for a given topic, compressed for AI agent context windows.

Normalises region/date strings and sorts agricultural output records (output_tonnes, cultivated_hectares) numerically for up to 200 rows, producing 2 local analytical reports per call.

Retrieves a step-by-step replay of a previously executed AI hedge fund research run, returning the run ID and number of steps in the replay sequence.

Binds alloy measurement records to an owner/subject/revision/content/source frame and maps declared source coverage, producing hash-keyed coverage declarations for audit and evidence review.

Computes category-level frequencies and a secondary-measure weighted mean for up to 200 animation clip records across frame_count and duration_seconds fields.

Runs two local analytical reports on API contract records: numeric row ordering and adjacent row changes for the fields_checked or incompatible_fields metric.

Searches the current web for API integration patterns, authentication methods, pagination strategies, and webhook references tailored for research team workflows.

Filters asset coverage records (known_assets, monitored_assets) by a numeric interval and fills missing values with zero, mean, or median — returning two analytical reports for up to 200 rows.

Computes numeric row ordering and base-100 index series for up to 200 backup exercise records across restore_minutes or restored_gb fields, returning two analytical reports.

Analyzes financial sentiment from text or ticker data using the BaseBuilder Sentiment hub's finance-focused endpoint

Runs an automated due diligence workflow on a DeFi token or capability query, returning risk intelligence and on-chain analysis via a meta-router indexing 500+ MCP/A2A tools.

Runs two local analytical reports (string normalisation and adjacent row changes) on up to 200 bibliography inventory rows containing reference_count and verified_references fields.

Runs two analytical reports on broken link observation data: string normalisation and a date-by-category pivot, for up to 200 rows.

Computes a numeric distribution and a secondary-measure weighted mean for up to 200 build artifact records (artifact_mb, build_seconds) in two independent analytical reports.

Sorts business directory coverage rows numerically and computes adjacent-row changes for listed_entities and verified_entities across up to 200 records, returning two analytical reports.

Runs three bundled analytical reports on camera coverage data (shot_count, coverage_seconds): record quality audit, string normalisation, and trailing mean time series — all offline, no external lookups.

Runs three analytical reports (record quality audit, string normalisation, and two-measure correlation) on up to 200 citation inventory rows containing reference_count and verified_references fields.

Returns a ranked screener list of cryptocurrency assets from CoinAnk, accessible via USDC micropayment with no API key required.

Runs three local analytical reports on code review records (pull requests, review hours): record quality audit, string normalisation, and numeric row ordering — no external lookups or predictions.

Normalises company record completeness data and computes two-measure correlation analysis across populated vs. required fields for up to 200 rows, returning two independent analytical reports.

Queues and executes outbound sales/marketing campaigns targeting specified geographic markets, verticals, and prospect domains

Applies a numeric interval filter and trailing mean series analysis to contact record quality data (checked_records, duplicate_records) for up to 200 rows, returning two independent analytical reports.

Runs a record quality audit and a Base-100 index series on up to 200 rows of content-length observations (word_count, heading_count), returning two analytical reports without any external lookups.

Analyzes content reuse records to produce a duplicate key report and a grouped numeric summary for reused_blocks and total_blocks fields, across up to 200 rows.

Runs three analytical reports on CI build data: a record quality audit, string normalisation check, and numeric distribution analysis for build_seconds or test_count fields.

Normalises strings and computes two-measure correlation analysis on contract renewal inventory records (expiring_contracts, renewed_contracts) for up to 200 rows, returning 2 independent analytical reports.

Normalises game-area strings and computes a sample-count-weighted mean of input_latency_ms (or vice versa) across up to 200 controller sampling records, returning two analytical reports.

Deduplicates coordinate quality check records and computes Base-100 index series for checked_points and flagged_points fields, returning two analytical reports for up to 200 rows.

Compares two keyed datasets of coordinate quality check records (checked_points, flagged_points) and fills missing values, producing up to 2 analytical reports for up to 200 rows.

Analyzes coordinate quality check records by producing two local statistical reports: a numeric distribution for checked_points or flagged_points, and a date-by-station-group pivot table.

Retrieves current blockchain gas price estimates and tracking data for Ethereum or compatible networks

Runs two local analytical reports on creative review data: string normalisation and a date-by-category pivot, for up to 200 rows of feedback and approval metrics.

Performs a live web search to find documentation and resources about database data portability, import/export formats, and backup/restore procedures, targeted at product teams.

Searches the web for current deployment guides, configuration references, and production operations documentation tailored for research teams.

Computes string normalisation and secondary-measure weighted mean statistics for document retrieval records (retrieved_bytes, request_ms), returning 2 analytical reports for up to 200 rows.

Validates that edition record rows conform to declared owner, subject, revision, and allowed scope labels, flagging any mismatches or unauthorized scope claims.

Filters editorial review records by a numeric interval on comment_count or resolved_comments, then computes a weighted mean of the secondary measure, returning two analytical reports for up to 200 rows.

Analyzes experiment run timing records by applying numeric row ordering and adjacent row change detection, delivering two analytical reports for up to 200 rows.

Runs two analytical reports on export validation data: exact row deduplication detection and adjacent row change analysis, for up to 200 rows of valid_rows/exported_rows data.

Runs string normalisation and a base-100 index series on up to 200 export validation rows (valid_rows, exported_rows), returning two analytical reports.

Runs two local analytical reports (string normalisation and trailing mean series) on export validation row data (valid_rows, exported_rows) for up to 200 rows.

Computes numeric row ordering and secondary-measure weighted mean across up to 200 feature availability records (populated_features, expected_features) in a single paid call.

Generates GPT-5.4-mini chat completions via a GET request with query parameters, paid per-request via x402 USDC on Base or Solana.

Compares two revisions of a grant record and returns a structured delta of changes to owner, subject, revision, content, and scope pins by stable record ID.

Validates and gates data quality for autonomous systems using deterministic acceptance criteria

Analyzes a piece of text and returns a 'vibe check' — assessing the tone, mood, or energy of the content.

Generates an equal-width histogram for a selected inventory measure and a Pearson/rank correlation between count_sessions and discrepancy_count, using up to 200 supplied inventory records.

Runs two local analytical reports on join coverage data: exact row deduplication and adjacent row change detection, for up to 200 supplied rows.

Generates a reusable WASD/arrow-key ES module with normalized diagonal motion, blur reset, and listener disposal for the braided-11-d4 preset game configuration.

Evaluates or examines submitted text content using an AI model, returning a scored or graded assessment

Provides Indian Railways (IRCTC) train data including schedules, availability, and booking information via a paid per-request API

Proxies requests to xAI (Grok) AI models via a pay-per-request gateway using USDC on Base chain

Runs two local analytical reports (string normalisation and daily sum series) on label review data containing reviewed_records and changed_labels fields, for up to 200 rows.

Deduplicates lighting setup records and produces a Base-100 indexed series for light_count or render_seconds across up to 200 rows.

Runs three local analytical reports on lighting-setup records: record quality audit, string normalisation, and explicit missing-value fill for light_count and render_seconds fields.

Performs string normalisation and trailing mean series analysis on link inventory data (internal_links, external_links) for up to 200 rows, returning two independent analytical reports.

Runs a live nuclei-based security exposure scan on api.delx.ai, checking for weak TLS configurations, open services, and misconfigurations.

Normalises strings and fills missing values in local event calendar records (listed_events, updated_events) for up to 200 rows, producing two independent analytical reports.

Applies numeric row ordering and trailing mean series analysis to localization coverage data (source_strings, translated_strings) for up to 200 rows, returning two analytical reports.

Migrates embeddings or embedding configurations from one model to another, enabling vector space transitions across model versions or providers.

Processes insurance or medical claim denial appeal data and returns guidance or a drafted appeal response

Normalises string fields and computes a Base-100 index series for market survey observation rows containing respondent_count and sample_weight, producing two analytical reports.

Retrieves the orchestration receipt confirming that a bid in the AgentBids auction system has been accepted and delivery awarded

Validates that meeting segment offset, duration, and count units match their declared quantities and checks for repeated metric identity conflicts in meeting record metadata.

Audits data quality and computes a weighted mean for a secondary measure across supplied migration batch records (records_migrated, failed_records) in a single call.

Analyzes navigation path records (path_length, search_ms) to flag IQR-based outliers and fill missing values using a chosen method (zero, mean, or median), returning two independent analytical reports.

Counts paired missing values (co-occurring null/absent owner, revision, and content pins) in neural-interface model/calibration/pipeline records without treating missing as matching.

Deduplicates newsroom assignment rows and computes a secondary-measure weighted mean across assigned_items or completed_items data, producing two analytical reports for up to 200 rows.

Detects or identifies the language of a given text string