All Services

Computes daily sum time series and Pearson correlation between area_m2 and perimeter_m for up to 200 land parcel observation records.

Deduplicates exact rows and computes a Base-100 index series for land parcel observation records (area_m2, perimeter_m) across up to 200 rows.

Deduplicates land parcel observation records and generates a duplicate key report for up to 200 rows of area and perimeter data.

Computes numeric distribution statistics and row ordering for land parcel area and perimeter data, returning two analytical reports for up to 200 records.

Applies a numeric interval filter and keyed dataset comparison to supplied land parcel observation records (area_m2, perimeter_m), returning two analytical reports for up to 200 rows.

Computes numeric row ordering and trailing mean series for up to 200 land parcel observation records (area_m2, perimeter_m), returning two analytical reports per call.

Runs a record quality audit and daily sum time series analysis on up to 200 land parcel observation rows (area_m2, perimeter_m), returning two independent analytical reports.

Audits record quality and filters land parcel observation rows by a numeric interval (area_m2 or perimeter_m) for up to 200 rows, returning two independent analytical reports.

Runs three analytical reports (record quality audit, string normalisation, and category frequencies) on supplied land parcel observation rows containing area and perimeter measurements.

Audits data quality, normalises strings, and orders rows numerically for up to 200 land parcel observation records containing area and perimeter measurements, producing 3 independent analytical reports.

Normalises string fields and produces grouped numeric summaries for land parcel observation records containing area and perimeter measurements, across up to 200 rows.

Normalises string fields and computes a secondary-measure weighted mean for up to 200 land parcel observation records (area_m2, perimeter_m), returning two analytical reports.

Upgrades an API key to the Pro tier on LimitGuard's trust intelligence platform

Upgrades an API key to the LimitGuard Starter tier, enabling access to real-time trust scoring across up to 8 data sources for AI agents, businesses, and transactions.

Performs string normalisation and base-100 index series computation on up to 200 rows of learning resource usage data (access_count, resource_minutes), returning two analytical reports.

Normalises string fields and computes a secondary-measure weighted mean across up to 200 learning resource usage records (access_count, resource_minutes), returning two analytical reports per call.

Returns AI-generated or AI-curated crypto news and insights for a specified topic using the MiMo V2.5 model

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

Returns a real-time crypto market pulse snapshot covering broad market conditions and sentiment signals

Normalises string fields and produces numeric row ordering reports for up to 200 lesson attendance records across two independent analytical reports.

Audits record quality, normalizes strings, and orders rows numerically for game level checkpoint data (completions and retries) across up to 200 rows, returning 3 independent analytical reports.

Converts a timestamp value as part of a pay-per-call DNS and email-delivery record audit service.

Counts paired co-occurring missing fields (owner, revision, content pins) in nonpersonal license and permission-manifest metadata without treating absent values as matches.

Compares declared usage-allowance unit labels within a pinned license record frame to detect conflicting or incompatible label representations, without performing unit conversion or inferring equivalence.

Computes a base-100 index series and fills missing values in lighting setup records (light_count, render_seconds) for up to 200 rows, returning two analytical reports.

Analyzes lighting setup records to produce a duplicate key report and adjacent row change detection for light_count or render_seconds fields, across up to 200 rows.

Analyzes up to 200 lighting setup records to produce a duplicate key report and a daily sum series for light_count or render_seconds fields.

Deduplicates exact duplicate rows and produces a date-by-category pivot table from supplied lighting setup records (light_count, render_seconds).

Filters lighting setup records by a numeric interval on a chosen field and identifies adjacent row changes, returning two analytical reports for up to 200 rows.

Ranks lighting setup rows numerically and computes a Base-100 index series for supplied lighting data (light_count, render_seconds) across up to 200 rows.

Audits data quality and detects duplicate keys in up to 200 lighting setup records (light_count, render_seconds) via two independent analytical reports.

Runs two local analytical reports on lighting setup records: a data quality audit and a secondary-measure weighted mean calculation for light_count and render_seconds fields.

Runs three local analytical reports (record quality audit, string normalisation, and base-100 index series) on up to 200 rows of lighting setup data (light_count, render_seconds).

Runs string normalisation and duplicate key detection on up to 200 lighting setup records containing light_count and render_seconds fields, returning two independent analytical reports.

Normalises string fields and applies numeric row ordering to up to 200 lighting-setup records (light_count, render_seconds), producing two analytical reports per call.

Computes Pearson correlation between light_count and render_seconds, plus a weighted mean of a secondary measure, for up to 200 supplied lighting setup records.

Returns pricing and economic profile data for a given country identified by its ISO 3166-1 alpha-2 country code.

Retrieves a signal or computed output for a given country identified by its ISO 3166-1 alpha-2 code.

Returns land cover data for a specified geographic region by region ID

Returns a ranked list of prices or price-related scores via the lilambd crossing API

Retrieves information about biodiversity gaps — species, habitat, or ecological data deficiencies — via the lilambd crossing platform.

Returns an answer or generated response at the intersection of play, feeling, language, science, and computation for a given brief or query.

Initiates a new MCP (Model Context Protocol) agent session on the lilambd platform, a generative space blending play, feeling, language, and computation.

Retrieves health-related data for a specified Japanese city by city code

Retrieves a list of available sound sources from the lilambd experimental audio and computation platform.

Retrieves data associated with a Wikidata entity ID from the lilambd platform API

Retrieves a collection of songs from the lilambd creative platform that blends play, feeling, language, and computation.

Returns an AI-generated answer or insight about world education for a given country, blending analytical and experiential perspectives.

Returns a biodiversity summary for a given query, providing ecological or species-level aggregated data.

Returns hospital data for Japan health infrastructure via a GET request to the jp-health/hospitals endpoint.

Returns biodiversity data for countries, providing information about species, ecosystems, or biological diversity metrics by country.

Returns health-related data for Japanese prefectures via a simple GET request

Returns pricing information organized by country for the lilambd platform.

Retrieves data for a specific biodiversity cell by cell ID from the lilambd platform.

Returns a list of available sound/music genres from the lilambd creative platform

Returns the available style axes (dimensions) for sound generation on the lilambd platform

Returns the available sound/music styles offered by the lilambd platform for generative audio or music synthesis

Looks up Japanese health data by MDC (Major Diagnostic Category) code

Returns hazard or risk data for a country identified by its ISO 3166-1 alpha-2 country code.

Retrieves country information by country code from the lilambd API

Returns a catalog of available sound instruments on the lilambd creative computation platform

Returns a summary or overview from the lilambd crossing agent, blending computational, linguistic, and affective dimensions into novel synthesized states.

Generates novel, unnamed experiential states at the intersection of play, feeling, language, science, and computation via an AI agent endpoint.

Fetches today's generative 'pulse' — an unnamed affective-computational state blending play, feeling, language, and science from the Lilambd crossing.

Retrieves information about a specific scientific field by its field ID from the lilambd crossing platform.

Returns country data for a given ISO 3166-1 alpha-2 country code

Returns current price data for commodities via a micropayment-gated REST endpoint.

Returns a list or description of sound ensembles available on the lilambd platform, a generative/experimental audio and computation crossing.

Audits data quality and applies numeric row ordering to link inventory records (internal_links, external_links) for up to 200 rows, producing 2 independent analytical reports.

Runs a record quality audit and trailing mean series analysis on link inventory data (internal_links, external_links) for up to 200 rows, returning two analytical reports.

Runs string normalisation and duplicate key detection reports on up to 200 liquidity observation records containing base and quote quantities.

Sets or updates Service Level Agreement (SLA) parameters for a specific property in the LiquProp real estate/property management platform

Returns a paid, LLM-generated decision procedure assessing the live health of data-acquisition vendor endpoints, with probe-grounded verdicts on a specific four-merchant 404 cluster and related services.

Runs a live nuclei-based exposure and misconfiguration scan against x402uselessfacts.vercel.app, checking for weak TLS, open services, and security misconfigurations.

Performs IQR-based outlier detection and secondary-measure weighted mean analysis on local event calendar data (listed_events, updated_events) for up to 200 rows, returning two analytical reports.

Computes a secondary-measure weighted mean and fills missing values for local event calendar data (listed_events, updated_events) across up to 200 rows, returning 2 analytical reports.

Runs string normalisation and adjacent-row change analysis on up to 200 rows of local event calendar data (listed_events, updated_events) across two independent reports.

Normalises string fields and applies numeric row ordering across up to 200 local event calendar records, producing two independent analytical reports for listed_events and updated_events.

Computes category frequency counts and an equal-width histogram for localization coverage data (source_strings, translated_strings) over up to 200 rows, returning two independent analytical reports.

Analyzes supplied localization coverage records to produce a duplicate key report and a secondary-measure weighted mean, across up to 200 rows.

Deduplicates localization coverage rows and computes a secondary-measure weighted mean over source_strings and translated_strings data for up to 200 rows.

Runs two analytical reports on localization coverage data: a numeric interval filter on source/translated string counts and a keyed comparison between two supplied datasets, for up to 200 rows.

Audits data quality, normalises string fields, and produces grouped numeric summaries for localization coverage records (source_strings, translated_strings) in up to 200 rows across 3 independent reports.

Runs three analytical reports (record quality audit, string normalisation, and trailing mean series) on localization coverage data (source_strings, translated_strings) for up to 200 rows.

Normalises string-count fields and applies numeric row ordering to up to 200 localization coverage records covering source and translated string counts.

Audits an OpenAPI specification to score and validate Solana mainnet wallet readiness for x402-paid agent deployments, returning a verdict, score, issues, and recommendations.

Returns structured academic citation records (DOIs, source attribution) from Crossref publisher metadata on the topic of logistics route optimization.

Sends a paid ping to verify the BusterCall lookup endpoint is reachable and responsive.

Normalises string fields and applies numeric row ordering to up to 200 loot observation records (drop_count, attempt_count), returning 2 analytical reports per call.

Fetches AI-related news articles and updates via a micropayment-gated endpoint on the Losbeto trading swarm platform

Returns verified win rate statistics for AI trading strategies, payable via USDC micropayment on Solana or Base.

Performs deep analytical thinking on market or trading queries, returning AI-generated insights, paid per-call via USDC micropayment on Solana or Base.

Provides market analysis data for crypto trading, accessible via USDC micropayments on Solana and Base chains.

Returns forex arbitrage opportunity signals across currency pairs, delivered via x402 USDC micropayment-gated API.

Returns geographically-tagged alpha or market signals for AI trading agents via x402 micropayment

Returns blockchain mempool data for AI trading agents via x402 micropayment-gated endpoint on Solana and Base networks.

Returns a brief market summary or overview for AI trading agents, delivered via x402 USDC micropayment on Solana or Base.

Purchases a day pass granting access to the Losbeto multi-chain AI trading swarm API suite via USDC micropayment on Solana or Base.

Monitors pump activity and token trends on Solana and Base chains via a pay-per-call x402 USDC micropayment API.

Returns a starter pack / index of available endpoints on the Losbeto x402 AI trading swarm, payable in USDC on Solana or Base.