Data & analytics

Data products: manage output ports, access grants, lifecycles, domains and user permissions

Data integration: manage data flows, connections, dataframes, environments and users, and read activity statistics

Carbon removal: submit feedstock, production, storage and measurement data for GHG statements

Product analytics: query events, run experiments, manage feature flags, dashboards, surveys and session replays

Web scraping: extract Google Maps, search, social media, property and job data

Multimodal data: manage buckets, collections, documents and retrievers for search and extraction

Pricing: compare web scraping providers, estimate costs and get stack recommendations

Data sync: move records from source connectors to destinations, with schema setup, discovery and teardown

Data APIs for social, e-commerce, ads, SEO and lead data: one wallet, pay per call in USD

Crypto market data: prices, funding, open interest, options chains, liquidations, on-chain metrics and news

Phone, WhatsApp, email and IP checks plus social scraping and AI visibility audits

Web data extraction: scrape pages, run monitoring workflows, track data changes and alerts

Grid battery revenue and dispatch data: per-DUID fleet metrics, spot prices, price events and LP-optimal benchmarks

Web page capture: rendered HTML, screenshots, PDFs, Markdown, metadata and structured data from any URL

Data center intelligence: search facilities, track deals and construction pipelines, and score sites

Customer analytics: track events, manage users and accounts, segments and in-app messages

Data stores: create, update and delete data stores, their data assets and data sets

European company registry data: company lookups, VAT and IBAN checks, sanctions and compliance screening

Company registry data: look up, monitor and search companies, with documents and PDF extracts

Structured extraction: turn PDFs, images and DOCX into schema-validated data, track jobs and sources

Synapse big data pools: create, read, update, delete and list Spark pools in a workspace

Data pipelines: manage sources, destinations, workflows, jobs and notifications

Text analysis: detect emotion, sentiment, personality traits, tone and language from text