Data & analytics

Extraction of schema-validated data from PDFs, images and spreadsheets, with jobs and review queues

Financial and economic data: equities, crypto, forex, commodities, macro indicators, filings and weather via one API

BI platform: query data, manage documents, schedules, users, and AI credits

Energy: grid operator KPIs, market prices, datasets, forecasts and asset data via REST API

Weather: blended forecasts, alerts, storm tracks, observations, climate normals and geocoding

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

Sports player props: posted lines, projections with evidence, line movement and rankings

Scraping: pull profiles, posts, reviews and places from Google Maps, LinkedIn, Instagram, TikTok and X

Forms, survey data, projects and permissions for KoboToolbox data collection, plus webhooks, logs and user management

Blockchain: fetch Cardano snapshots, stake distributions, certificates and transaction proofs from a Mithril network

Blockchain data: query blocks, transactions, logs, traces, balances, tokens and ABIs via a local chifra daemon

Social media data: profiles, posts, videos and channels from six platforms in one format

Search APIs: Google results, page reading, crawling and AI answers as JSON

Planning: access cubes, dimensions, data tables, dashboards, uploads and audit trails in Cube

Textile, food, generic: compute environmental impacts of products, list materials, ingredients and processes

Streaming: manage topics, ACLs, users, connectors, pipelines, transforms and MCP servers on Redpanda

Search and sync data from apps and databases: manage collections, source connections, sync jobs and webhooks

Events: list event occurrences and their event types in HubSpot

Blockchain data: query blocks, transactions, blobs, rollups, validators and IBC channels on Celestia

Filings: search listed-company filings and read their documents, with company profiles, ISINs and listings

Web scraping: run Actors, manage datasets, key-value stores, request queues, builds and schedules

Customer analytics: ingest activity events, submit feedback, validate API keys and call capabilities

Pipelines: create SQL data pipelines, manage connectors, deploy and query views, check metrics

Data platform: manage queries, warehouses, dbt models, lineage, users, groups and cost reports