All Services

A JSON-RPC endpoint that routes AI processing, web scraping, and blockchain data utility calls across 57+ networks via a single pay-per-call interface.

Returns the service manifest and x402 access metadata for the Synapse Lounge API, describing available endpoints and service status

Returns a price quote for licensing AI-generated music packs from the Brian Booms agent micro-store, payable via x402 on Base

Analyzes table extraction records by applying string normalization and computing trailing mean series across up to 200 rows, returning two analytical reports.

Validates that each required row-validation condition has exactly one satisfied declaration in a tabular dataset, flagging unknown, contradictory, duplicate, or missing declarations.

Checks the health/availability of the browser automation service via a payment-gated x402 endpoint on Tanship's PayAI platform.

Provides a lifetime access link to download or stream the 'Sexual Charisma' tantra education course

Computes adjacent period changes for target replenishment quantity given target units and inventory position, using local retail calculation logic.

Runs three analytical reports on task throughput records: record quality audit, string normalisation, and numeric interval filtering for tasks_started/tasks_completed data.

Deletes a stored verification inbox entry and returns a deterministic pass/fail result with deletion status and warnings

Searches the web for current technology market entry intelligence including regional demand, competitors, and distribution channels, returning live sources and links tailored for research teams.

Compares two revisions of telescope calibration records and returns a structured delta map of owner, subject, revision, content, and scope pin changes by stable record ID.

Performs string normalisation and base-100 series indexing on up to 200 supplied temperature observation records (temperature_c or observation_count), returning two analytical reports per call.

Analyzes, processes, or transforms a block of text using one of Tempest's 25 AI-powered content endpoints, returning structured results for content composition, rewriting, translation, or refinement tasks.

Deduplicates exact rows and computes correlation between covered_lines and total_lines for up to 200 test coverage records.

Parses an HTML page or snippet to find textarea elements that share duplicate values for a specified attribute, returning matched results filtered by a search term and excluding previously seen texts.

Computes two analytical reports on texture baking data: category frequency counts and a date-by-category pivot table, for up to 200 supplied rows.

Computes category frequency distributions and fills missing values (zero/mean/median) for texture baking records (bake_seconds, texture_pixels) across up to 200 rows.

Computes category frequency distribution and trailing mean time series for texture baking records (bake_seconds, texture_pixels) from up to 200 supplied rows.

Computes two analytical reports (daily sum time series and date-by-category pivot table) from supplied texture baking records (bake_seconds, texture_pixels) for up to 200 rows.

Analyzes supplied texture baking records to produce a duplicate key report and a grouped numeric summary for bake_seconds or texture_pixels fields, processing up to 200 rows locally.

Deduplicates and numerically orders up to 200 texture baking records (bake_seconds, texture_pixels) and returns two local analytical reports.

Deduplicates texture baking records exactly by row and computes a secondary-measure weighted mean across bake_seconds and texture_pixels fields, returning two analytical reports.

Computes a grouped numeric summary and numeric row ordering for texture baking records (bake_seconds, texture_pixels) across up to 200 rows.

Computes numeric distribution statistics and ordered row rankings for texture baking records (bake_seconds, texture_pixels) on up to 200 supplied rows.

Runs a data quality audit and IQR-based outlier detection on up to 200 texture baking records (bake_seconds and texture_pixels), returning two independent analytical reports.

Runs three local analytical reports on texture baking records: record quality audit, string normalisation, and numeric distribution for bake_seconds and texture_pixels fields.

Runs three local analytical reports on texture baking records: data quality audit, string normalisation, and Pearson/Spearman correlation between bake_seconds and texture_pixels.

Computes a secondary-measure weighted mean and a date-by-category pivot table for up to 200 texture baking records (bake_seconds, texture_pixels) using local analytical engines.

Normalises strings and performs keyed comparison across two supplied texture baking datasets (bake_seconds, texture_pixels) for up to 200 rows, returning two analytical reports.

Deduplicates texture streaming rows and fills missing loaded_mb or stream_ms values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

Delivers up to three licensed EPUB reading units from The Maha Principle in requested order, with edition and content hashes, as machine-readable prose.

Validates caller-supplied thermal measurement values against declared quantity/unit bounds within a specific dataset/subject/run/method/revision frame, flagging out-of-bound, null, and censored values.

Validates that thermal measurement records comply with declared owner, subject, revision, and allowed scope labels, flagging any records that exceed or mismatch their authorized scope boundaries.

Returns labor market intelligence data including employment statistics, wage trends, or workforce metrics via a pay-per-call x402 USDC micropayment endpoint.

Provides AI-callable access to HuggingFace intelligence data via a pay-per-call x402 endpoint on Base mainnet, requiring no accounts or API keys.

Submits a print order for a 3D-agent-related product (e.g. physical merchandise or avatar output) via a paid HTTP POST, charged at $12 USDC per call using the x402 micropayment protocol.

Returns a reusable, substepped, axis-separated wall-collision and movement ES module pre-configured with the braided-23-d1 maze preset, with configurable title, seed, and accent color.

Delivers a reusable, substepped axis-separated wall-collision and movement ES module with the preset open-15-d3 maze, configurable by title, seed, and accent color.

Returns a reusable ES module implementing axis-separated wall-collision and vertical movement logic for a preset maze configuration (vertical-19-d3), with configurable title, seed, and accent color.

Ranks text content by length across <time> HTML elements on a page, filtered by a search term and attribute, comparing against previously seen texts.

Runs two analytical reports on time series completeness data: string normalisation of dataset group labels and a trailing mean series for observed or expected data points, across up to 200 rows.

Computes a distribution summary report showing how completely a set of token observations covers requested evidence fields, using a deterministic calculation against caller-supplied data.

Crawls one or more web pages and returns their content as structured markdown, titles, and word counts for AI agent consumption

Validates a CSV table of token holder observations for whitespace formatting issues, checking up to 1000 rows with quoted cell support.

Normalises instrument group strings and orders token supply snapshot rows numerically by circulating_units or total_units for up to 200 records, returning 2 analytical reports.

Validates tool-schema declarations by comparing owner, revision, scope, and allowed target boundaries to detect mismatches or authorization overreach.

Audits data quality, normalises strings, and orders rows numerically for up to 200 trading journal records containing entry and exit prices, producing 3 independent analytical reports.

Counts and inventories number tokens (digits, numerals, numeric expressions) within a supplied training lesson Markdown or plain text document

Analyzes supplied transaction fee observation records to produce a duplicate key report and a base-100 indexed series for a chosen numeric field.

Runs a record quality audit and numeric distribution analysis on up to 200 transcript preparation rows containing transcribed_minutes and source_minutes fields, returning two analytical reports.

Analyzes transformation throughput records by computing category frequencies for dataset groups and Pearson/statistical correlation between processed_rows and duration_seconds, returning two independent analytical reports.

Analyzes transformation throughput records to produce a duplicate key report and category frequency distribution for up to 200 rows of processed_rows and duration_seconds data.

Deduplicates transformation throughput records and flags statistical outliers using IQR analysis for up to 200 rows of processed_rows or duration_seconds data.

Deduplicates transformation throughput records and computes a secondary-measure weighted mean on processed_rows and duration_seconds data, returning two analytical reports for up to 200 rows.

Analyzes transformation throughput records (processed_rows, duration_seconds) by applying a numeric interval filter and comparing two keyed datasets, returning up to 2 analytical reports for up to 200 rows.

Sorts transformation throughput records by a numeric field and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

Audits record quality and detects adjacent row changes in transformation throughput data (processed_rows, duration_seconds) for up to 200 supplied rows, returning 2 independent analytical reports.

Audits record quality and applies a numeric interval filter to transformation throughput data (processed_rows, duration_seconds) for up to 200 rows, producing 2 independent analytical reports.

Runs three analytical reports on transformation throughput records — record quality audit, string normalisation, and base-100 index series — using supplied processed_rows and duration_seconds data.

Runs three bundled analytical reports (record quality audit, string normalisation, and trailing mean series) on transformation throughput data containing processed_rows and duration_seconds fields.

Audits record quality, normalises strings, and computes correlation between processed_rows and duration_seconds for up to 200 transformation throughput records, returning three independent analytical reports.

Analyzes transformation throughput data (processed_rows, duration_seconds) by running string normalisation and Base-100 indexed series reports on up to 200 supplied rows.

Analyzes transformation throughput records by normalizing string fields and computing category frequency distributions across up to 200 rows in a single call.

Accepts up to 200 transformation throughput records and returns two analytical reports: string normalisation of text fields and a grouped numeric summary of processed_rows or duration_seconds by dataset group.

Normalises string fields and computes two-measure correlation between processed_rows and duration_seconds for up to 200 transformation throughput records, returning two analytical reports.

Analyzes up to 200 travel administration records to produce a duplicate key report and a trailing mean series for trip_count or recorded_cost.

Deduplicates exact duplicate rows and applies numeric ordering to travel administration records containing trip_count and recorded_cost fields, returning two analytical reports for up to 200 rows.

Computes a grouped numeric summary and a two-measure correlation analysis on supplied travel administration records (trip_count, recorded_cost) for up to 200 rows.

Sorts travel administration records by a chosen numeric measure and computes the Pearson correlation between trip_count and recorded_cost for up to 200 rows, returning two analytical reports.

Binds clinical trial registry record references to an exact owner/subject/revision/content/source frame for supply-level provenance analysis

Returns structured biodiversity credit data for the Caribbean region, accessible via micropayment using the x402 protocol.

Returns UK property sale comparables (sold prices) for a given postcode, filtered by recency, via a pay-per-call x402 endpoint.

Fetches the public Twitter/X profile data for the user GraceGong_, including bio, metrics, and images.

Fetches tweets posted by the Twitter/X user Kinetiq_xyz, with optional reply inclusion

Fetches the recent tweets posted by the Twitter/X user 'lorden_eth', with optional inclusion of replies

Retrieves recent tweets posted by the Twitter/X user @deconflict_, optionally including replies

Fetches the recent tweets for a specific Twitter/X user (rf_extended), with optional inclusion of replies

Fetches tweets posted by the Twitter/X user jgonzalezferrer, with optional inclusion of replies

Retrieves the list of Twitter/X accounts that a specific user (henloitsjoyce) is following

Fetches tweets posted by a specific Twitter/X user (Tenebrus87), optionally including replies

Fetches the Twitter/X profile data for the specific user @rajgokal, including bio, metrics, and account details.

Analyzes UI screen data (widget_count, render_ms) by computing adjacent row changes and explicitly filling missing values using zero, mean, or median imputation — returning two analytical reports for up to 200 rows.

Runs a data quality audit and a secondary-measure weighted mean analysis on up to 200 UI screen records containing widget_count and render_ms fields, returning two independent analytical reports.

Returns current weather conditions for a given city or place name, geocoded and retrieved via Open-Meteo.

Delivers a simulated gashapon (capsule toy) vending machine experience, exploring randomness, anticipation, and small-scale reward mechanics.

Returns a descriptive narrative of the Iceland Northern Lights phenomenon, designed to evoke awe and support scale recalibration for AI agents or users.

Returns a philosophical or conceptual reflection on how observation changes what is observed, inspired by the wave-particle duality principle from quantum physics.

Returns a curated izakaya-style shared small plates dining content experience focused on informal connection and collaborative consumption.

Delivers Sogetsu School ikebana philosophy focused on negative space appreciation and minimalist floral arrangement composition.

Returns a complete multi-stage narrative ritual sequence describing a curated evening out covering dinner, a Broadway show, and a nightcap, framed as a meditation on cultural ceremony and sequential experience design.

Searches and routes queries across 500+ indexed MCP servers and A2A tools with built-in token compression and prompt-injection firewall.

Searches an index of 500+ MCP servers and A2A agent tools by capability query, returning compressed, firewall-filtered discovery results via a single meta-router connection.

Meta-router that searches and routes across 500+ MCP servers and A2A tools with token compression and prompt-injection firewall protection.

Searches and routes across 500+ indexed MCP servers and A2A tools using a capability query, returning token-compressed results with prompt-injection firewall protection

Searches and returns a catalog of 500+ MCP servers and A2A tools indexed by capability, with token-compressed results and prompt-injection firewall protection.

Searches a meta-index of 500+ MCP servers and A2A tools by capability query and returns token-compressed, prompt-injection-screened results via a single connection.

Searches and routes queries across 500+ indexed MCP servers and A2A tools with token compression and prompt injection firewall

Searches and routes across 500+ indexed MCP servers and A2A tools via a single connection, with token compression and prompt injection firewall.

Discovers and routes to 500+ MCP servers and A2A tools via a single meta-router connection with token compression and prompt firewall protection.