Valyuv1.0.4

Analysts use the Valyu search action to gather web, academic, and financial source material on a topic, then synthesize it into a structured brief. This replaces manual tab-hopping across multiple data providers while keeping citations traceable.

Investment teams query Valyu for financial filings, market coverage, and proprietary datasets when evaluating a target. Search results feed directly into screening memos and risk summaries before a deal moves forward.

Academic and R&D researchers run targeted Valyu searches across scholarly and proprietary sources to map prior work, identify gaps, and assemble references. The connector's schema-driven payloads make saved queries reproducible across a lab or team.

Product and strategy teams periodically search Valyu for competitor announcements, pricing changes, and ecosystem news. Findings are routed into internal trackers or dashboards so stakeholders see shifts without manual curation.

Developers wire the Valyu connector into autonomous agents that need grounded external data at runtime, such as report generators or Q&A assistants. Because OOMOL handles credentials server-side, agents can call search safely without exposing API keys.

OOMOL meters each Valyu connector execution and charges the customer per call, bundling provider costs plus margin. Credits are consumed server-side, and insufficient balance surfaces as an OOMOL_INSUFFICIENT_CREDIT error resolved by recharge.

A SaaS product layers saved searches, alerts, and reporting on top of Valyu results targeting a specific vertical such as finance or academia. The Valyu actions form the data-retrieval backbone while the product adds workflow, storage, and collaboration.

A boutique firm sells done-for-you research packages where analysts run Valyu searches and deliver curated briefs or monitoring feeds to clients. The skill reduces sourcing time, letting a small team serve more accounts at higher margin.