Description
QVeris is a data-connector platform that brings licensed, professional-grade data sources into the AI tools a developer or team already uses. Rather than building a product with its own data, QVeris indexes and exposes third-party data services across seven categories: finance and companies, social media and public discussion, pharmaceutical and life-science research, research papers and patents, e-commerce and product data, trade information, and everyday services such as weather, exchange rates and logistics.
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The platform is organized around a discover, inspect and call workflow. A user or an AI agent searches for a capability in plain language, inspects its parameters, quality signals and billing rule before running it, and then calls it in a sandboxed environment. Discovery and inspection are always free; only the call itself is billed, and QVeris shows the available cost before execution and the final charge afterward, so usage stays auditable.
Connection methods include a hosted MCP server, agent plugins, a CLI, and API and SDKs for Python and JavaScript, which lets QVeris plug into AI clients, coding agents and custom workflows without a developer wiring up each data provider separately. A Playground lets anyone try a controlled example or write a prompt and review the billing preflight before running it, and QVeris Lab is a beta workspace for exploring longer agent workflows with visible tool activity.
Pricing starts with a Free tier that includes 1,000 trial credits on signup and a 10 requests-per-minute limit. A Pro tier costs $19 and includes 10,000 credits, 100 requests per minute, and $0.002-per-credit overage billing. A Scale tier is on-demand, with a $1 minimum top-up and bonus credits, from 5 to 15 percent, at higher top-up amounts. QVeris is aimed at developers and technical teams building AI agents or workflows that need real, licensed external data rather than only what a base model already knows.
- CategoryAI Data Analysis
- Pricing ModelPay-as-you-go
- DeploymentCloud
- PlatformsMCP, CLI
QVeris's Core Features
Discover, inspect and call workflow for finding and using data capabilities
Seven data categories: finance, social media, pharma/life sciences, research and patents, e-commerce, trade, and everyday services
Hosted MCP server for connecting to MCP-compatible AI clients
Agent plugins, CLI and Python/JavaScript SDKs
Free discovery and inspection; billing only applies to executed calls
Cost preview before execution and an auditable charge afterward
Playground for testing a capability before integrating it
QVeris Lab, a beta workspace for longer agent workflows with visible tool activity
1,000 free trial credits on signup
How to use QVeris?
Sign up: create a QVeris account to get 1,000 trial credits
Find a capability: search the seven data categories in plain language or browse the directory
Inspect it: review parameters, quality signals and the billing rule before running it
Connect your AI: link QVeris via hosted MCP, an agent plugin, the CLI, or the API/SDK
Call it: execute the capability in the sandboxed environment and review the data returned
Track spend: check the pre-execution cost estimate and the final charge after each call
QVeris's Use Cases
- Financial research agent
- Patent and literature search
- E-commerce monitoring
- Life-sciences lookup
