This topic covers APIs and platforms that pair traditional market and crypto data with AI capabilities—signal generation, natural‑language analysis, model inference and automated execution—to support trading, research and risk workflows. As of 2026‑02‑08, the landscape is defined by tighter integration between low‑latency data feeds, alternative/OSINT sources, on‑chain analytics and hosted model infrastructure that enables rapid fine‑tuning and serverless inference. Key categories include Market Intelligence Tools (real‑time market and sentiment feeds), AI Data Platforms (data integration, preparation and visualization), AI Tool Marketplaces (deployable models and connectors), Web Scraping Tools (continuous alternative‑data ingestion), and Data Analytics Tools (backtesting, portfolio analytics). Representative tools in this set: Domo for enterprise data unification, preparation and AI‑driven dashboards; Altss for OSINT and continuous signals tailored to private markets; Together AI for scalable GPU training, fine‑tuning and serverless inference of trading models; Anthropic’s Claude family and other LLMs for research, natural‑language summarization and signal extraction; and enterprise assistants such as IBM watsonx Assistant and Microsoft 365 Copilot for automating workflows, orchestrating agents and surfacing insights in Teams/Office contexts. Practical considerations include latency and reliability for execution APIs, data provenance and regulatory compliance for market and crypto signals, and the cost/benefit of on‑chain versus off‑chain alternative data. Organizations evaluate these APIs to shorten model development cycles, enrich signals with human‑readable analysis, and operationalize ML into trading pipelines while maintaining auditability and risk controls.