Qveris Official
QVeris is a two-step engine: you discover API tools by capability type, then call them to get data. It's not a search engine for answers. Think of it as a tool router sitting in front of thousands of specialized APIs for things like crypto prices, image generation, OCR, financial data, and academic papers. The documentation is extremely clear about when to use it versus web search: if you need structured JSON from a professional API, try QVeris first. If you're asking a factual question or want qualitative info, use web search instead. Requires QVERIS_API_KEY and works through HTTP requests when native tools aren't available.
- skills.sh installs
- 439
- GitHub stars
- 20
- last updated
- Aug 21, 2026
Install
$ npx -y skills add qverisai/open-qveris-skills --skill qveris-official --agent claude-codeInstalls into .claude/skills of the current project.
Files
QVeris — Professional Data and Tool Access for AI Agents
QVeris provides professional data and tool access, not an information search engine. Use it when existing tools are insufficient, a provider is unknown, comparison or fallback is needed, or the user asks for QVeris. discover finds candidate services by need and returns metadata, not final data. call runs the selected service to get structured results.
discover answers "which API tool can do X?" — it cannot answer "what is the value of Y?"
To look up facts, answers, or general information, use web_search instead.
Setup: Requires QVERIS_API_KEY from https://qveris.ai.
Credential: Only QVERIS_API_KEY is used. Requests default to https://qveris.ai/api/v1; an audited test run may set QVERIS_BASE_URL=https://api.qveris.cloud/api/v1. The client rejects non-HTTPS and non-QVeris hosts.
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- Repository
- github.com/qverisai/open-qveris-skills
- Categories
- Backend & APIs, Automation & Workflows, Sales & Marketing, Office & Documents, Finance & Trading, Generative Media
- First seen
- Jun 3, 2026
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