QVeris Skill Testv1.0.2

An AI agent needs to fetch live cryptocurrency prices or stock quotes. Using QVeris, it discovers a crypto pricing API tool and calls it to get BTC, ETH, SOL prices with 24h changes, returning structured JSON data.

A marketing automation agent requires a SaaS hero image in 16:9 ratio. It discovers a text-to-image generation tool via QVeris and calls it with a descriptive prompt to create the image.

A research assistant agent needs to find recent papers on multi-agent LLMs. It discovers an academic search API tool through QVeris, then calls it with specific keywords to retrieve publication titles and abstracts.

An investment analyst agent queries NVIDIA's latest quarterly earnings. It discovers a financial data tool via QVeris, selects the best match, and calls it to obtain revenue and EPS figures in structured format.

An AI agent in an environment without a configured web search tool discovers a web search API through QVeris, then calls it to retrieve coverage of EU AI regulations, effectively substituting for a native search capability.

QVeris aggregates thousands of specialized API tools and charges per discovery or per call, offering usage tiers (free, pro, enterprise) based on volume. Revenue comes from subscription fees or pay-as-you-go credits.

QVeris licenses its discovery and calling engine to AI agent platforms (e.g., OpenClaw) as an add-on skill. Revenue is generated through per-agent or per-environment licensing fees.

Businesses subscribe to QVeris for automated data acquisition pipelines, using it to fetch structured financial, scientific, or media data regularly. Revenue comes from monthly or annual contracts based on call volume.