All Services

Screens stocks using official/regulated data sources to filter and rank equities based on financial criteria

Creates a temporary disposable Gmail address for use in testing, verification, or privacy-sensitive workflows

Provides access to Twitter/X platform data and actions via a paid proxy endpoint on the KiteEndpoints mega API hub

Retrieves weather data for a given location via a pay-per-request endpoint on the KiteEndpoints.ai hub

Fetches private or restricted TikTok data via a paid per-request API endpoint

Proxies requests to Binance cryptocurrency exchange data via a pay-per-request USDC gateway

Fetches Twitter/X data quickly via a paid proxy endpoint on the KiteEndpoints mega API hub

Scrapes TikTok content data via the ScrapTik endpoint on the KiteEndpoints.ai mega API hub, returning structured TikTok data per request.

Generates a hash value from input data via a paid API endpoint on the KiteEndpoints hub

Fetches real-time financial market data including prices, quotes, and related finance information via a pay-per-request hub endpoint.

Fetches forex market calendar and economic event data from Forex Factory via a proxied paid API endpoint.

Proxies requests to an AI21-based language model via the KiteEndpoints mega API hub, returning AI-generated text results for a per-call USDC fee.

Fetches Yahoo Finance market data via a pay-per-request proxy endpoint on the KiteEndpoints hub.

Routes requests across 400+ paid API endpoints spanning social media, AI, crypto, finance, weather, and ecommerce via a single copilot interface

Fetches Yahoo Finance financial data (quotes, fundamentals, or market info) for a given ticker or query via a pay-per-request API

Assesses SEC regulatory and compliance risk for a given security, company, or filing

Returns a list of cryptocurrency data via KiteEndpoints.ai Mega API Hub, paid per request with USDC on Base chain.

Provides cryptographic operations and utilities via a pay-per-request API endpoint on Base chain

Provides a low-cost Twitter/X data endpoint via a pay-per-request hub, returning social media data for a flat $0.10 USDC fee per call.

Retrieves cryptocurrency coin data and market information for a specified crypto asset

Proxies requests to xAI (Grok) language model API via a pay-per-request USDC gateway

Fetches TikTok Now (NOWM) related data via a paid per-request API endpoint on the KiteEndpoints hub

Retrieves TikTok Shop product, seller, or order data via a pay-per-request proxy endpoint

Returns currency exchange rate data for Indian financial markets, likely including INR conversion rates and related financial data

Fetches bulk Instagram data (profiles, posts, or related entities) via the KiteEndpoints.ai API hub, paid per request with USDC on Base chain.

Fetches Twitter/X data via a low-cost API endpoint, returning social media information for a given query or user

Provides access to Twitter/X data and actions via a paid proxy endpoint using USDC micropayments on Base chain

Analyzes a website URL to extract intelligence, insights, and structured data about that site

Fetches on-chain governance whale voting data for crypto protocols

Returns Indian currency exchange rate data, including INR conversion rates against other currencies

Returns stablecoin yield data including rates, protocols, and opportunities for DeFi stablecoin farming

Fetches or interacts with Twitter/X data via a versioned proxy endpoint, paying $0.07 USDC per request on Base chain

Provides TikTok data access (likely video, user, or trending content retrieval) via a paid per-request endpoint on Base chain

Returns cryptocurrency exchange rate or conversion data for a given trading pair or asset via the KiteEndpoints.ai mega API hub

Scrapes web pages or social/platform data and returns structured results via a pay-per-request API using USDC on Base chain

Provides access to ChatGPT-style AI text generation via a pay-per-request API endpoint on Base chain using USDC

Provides access to Twitter/X platform data and actions via endpoint api/twitter-api47, billed per request in USDC on Base chain

Detects whether a piece of content was generated by AI or written by a human

Performs skip tracing to locate individuals by cross-referencing personal data and returning contact/location information

Fetches bulk Instagram data for one or more profiles or posts via a pay-per-request hub endpoint

Fetches Twitter/X data quickly via a paid API hub endpoint, returning social media content or profile information for a given query

Provides AI-enhanced weather data and forecasts via a paid per-request endpoint on Base chain

Fetches a paid HTTP 402-gated resource snapshot for $0.02 USDC per call, returning the response body after micropayment settlement

Provides TikTok data access via a third-party API proxy (API23), returning structured TikTok platform data with pay-per-call x402 pricing

Provides access to Twitter/X data and actions via a pay-per-call endpoint on the x402 protocol

Returns a paid intelligence signal payload as JSON for a given query

Sorts label review records by numeric row order and fills missing values in a chosen field using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

Computes a secondary-measure weighted mean and fills missing values explicitly across label review records (reviewed_records, changed_labels) for up to 200 rows in two bundled reports.

Analyzes a JSON Lines contact log to compute weekly and cumulative funnel step metrics for the Landing en 24h sales pipeline

Computes category frequency distributions and daily sum time series for land parcel observation data (area_m2, perimeter_m) across up to 200 rows, returning two analytical reports.

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

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

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

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

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

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.

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

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.