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About
QVeris is an AI agent infrastructure platform with financial data APIs for market analysis and investment research. Across its network, it connects AI agents and developers to more than 10,000 real-world capabilities, including APIs, live data sources, tools, and external services.Its financial capabilities span quantitative trading, macroeconomics and fixed income, investment research, risk and compliance, crypto and digital assets, and alternative data signals. Through a unified interface, agents can access market prices, company financials, valuation data, analyst estimates, macroeconomic indicators, yield curves, on-chain activity, and news or event signals. These capabilities support financial research, market monitoring, quantitative analysis, and risk assessment workflows.The platform follows a Discover–Inspect–Call workflow. Agents describe their needs in natural language to discover relevant capabilities, inspect parameters, pricing, and performance information, then execute selected tools and receive structured results. Usage history and the credits ledger help teams review execution and costs.QVeris supports hosted and local MCP connections, a command-line interface, Python and JavaScript SDKs, and a REST API. Its open-source Agent Toolkit provides integration components and setup guidance for building financial research, data analysis, and broader automation workflows.Discovery and inspection are free. New users receive 1,000 trial credits after signup verification, while capability calls use pay-as-you-go credits according to the applicable billing rules. There is no monthly subscription fee.Know more at https://qveris.ai/
Comments (3)
how do you normalize across 10k different API schemas?
Which auth pattern handles credential management across 10k different API schemas?
impressive range of tools, great for developers needing financial insights.
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