Insights & Updates
Technical deep-dives, product updates, and thoughts on the future of AI agents.
Before an Agent Calls a Tool, It Should Know Three Things: Can It Be Used, How Should It Be Called, and What Will It Cost?
QVeris separates tool use into Discover, Inspect, and Call so agents can make checkable, confirmable, and traceable decisions before execution and billing.
Google Cloud Jumped 82%, Tesla EPS Was Cut in Half: What Last Night's Earnings Really Signal for A-Share Semiconductors
A QVeris Earnings Copilot walkthrough of how Google and Tesla's Q2 results reshape the short- and medium-term signal for China's semiconductor chain.
Recently, Tech Stocks Have Sold Off. Is the AI Trade Over?
After the selloff in tech stocks, QVeris separates AI demand, semiconductor valuations, and cash-flow quality to assess what has really changed.
We Built an AI Compute "Ghost Story" Radar
Why does one news headline make GPUs, HBM, data centers, power, and ETFs all react simultaneously?
When AI Can Check 24 Financial Data Points One by One, Intelligent Investment Research Gains Real Fundamentals
Intelligent investment research products are evolving from "writing analysis" to "conducting research."
Market Sentiment API: Teaching Trading Agents to Read Fear, Greed, and News Tone
A trading agent focused solely on price often only realizes what has happened after market movements have occurred.
Connect Coding Agents to 10,000+ External Capabilities: A Practical QVeris Hosted MCP Tutorial
Codex, Claude Code, and Cursor can read code, edit files, and run tests, but tasks that depend on external information still expose clear capability boundaries.
New Large Models Do More Than Chat: Try Kimi K3, Claude Fable 5, and GPT-5.6-Sol in QVeris.ai Playground
As new model releases accelerate, what truly impacts user experience is no longer just "whether the model appears i
After Financial Skills Connect to QVeris, AI Finally Does More Than Write Reports
Over the past period, I focused on refactoring and testing a batch of Financial Skills.
Box Office Is Heating Up. Why Are Film Stocks Not Rising Too? I Re-ran Four Companies with QVeris
**The question I left open three weeks ago, now answered.**
Do Typhoons Affect the Stock Market? Using QVeris to Revisit Typhoon Bavi
At 11:20 PM on July 11, the super typhoon "Bawee" made landfall in Yuhuan, Zhejiang, with maximum wind force of 14
Loop Engineering: From "Completing Once" to "Continuously Getting Things Done"
> When Agents no longer rely on human prompts for each iteration, the focus shifts from designing just a Prompt to
Building a QVeris-Powered Demo Site with Codex Sites
Many demo sites suffer not from poor aesthetics, but from being purely visual—users see a polished dashboard but ca
Backtesting with QVeris Data: Understand the Data Before Trusting the Curve
Many people conducting factor or strategy backtests want to see the profit curve first. However, a truly valuable b
From 2.34% to 23.4%: The Most Dangerous Hallucination in Financial AI Is Often Not Invented
The tool was right, and the data source was right. The real danger is a correct data point quietly changing by one digit when the model writes the report.
Why Do Top Global Models Still Score Below 58% on Financial Analysis?
From Vals Finance Agent v2 to two public-question retests: the weakness of financial agents may be object identification, not analysis.
We Built an AI Options Assistant with QVeris
A financial AI product experiment that turns one market view into data, strategies, simulations, and risk boundaries.
Agents Need More Than Tool Calls. They Need Execution Ledgers.
Once agents enter business workflows, every execution needs a reviewable, reusable, and transferable ledger.
What Does QVeris Think of Alpha Picks’ Latest Recommendation?
After Alpha Picks marked Ichor as a buy, we used QVeris to review ICHR with sources, tool calls, and an audit trail.
How I Used Codex + QVeris to Build an AI Supply Chain Bottleneck Research SOP
A hands-on review: from installing a Skill and configuring an API key to generating an investment research memo.
Financial Agents Must Do More Than Fetch Data. They Must Align Definitions.
Financial agents need to turn data into definition contracts that are explainable, computable, and verifiable.
The Next Step for Financial Agents: Not Just Better Answers, but Recovery After Failure
Financial agents need more than polished answers: they need research workflows that are traceable, recoverable, and reviewable.
From One-Off Prompts to Continuous Workflows: Why Investment Research Agents Need a Durable Data Entry Point
Investment research agents need trusted, traceable, reusable data more than polished one-off analysis.
As Tool Counts Grow, Prompts Need Layered Management
As tool counts grow, prompts need layered management
I Used QVeris as an AI Stock Research Assistant: Start with Industry Valuation, Then Filter Companies with a Screener
A stock research assistant workflow that starts with industry valuation and then narrows candidates with QVeris screening tools.
What QVeris Sports Tools Can Do: From Score Lookup to Pre-Match Intelligence Workflows
An overview of QVeris sports tools, from score lookup to pre-match intelligence workflows and multi-sport data retrieval.
QVeris: From Information Overload to an Explainable Research Workflow
How QVeris turns messy financial information into an explainable research workflow with sources, calls, and evidence.
What Enterprise-Grade Trustworthy Agents Lack Is Not Answers, but Evidence
What enterprise-grade trustworthy Agents lack is not answers, but evidence
I Asked QVeris to Predict the World Cup Champion: Not a Superstitious Bet, but an Agent Learning to Use Real-World Signals
A QVeris case study on turning World Cup champion prediction into a real-world, multi-signal workflow for agents.
Anthropic Just Open-Sourced a Finance Agent Showroom. We Have Been Building the Most Valuable Third Layer All Along
Anthropic just open-sourced a finance Agent showroom. We have been building the most valuable third layer all along
I Asked QVeris to Pull Microsoft Historical Data Back to 1995: In Long-Horizon Investment Research, the First Step Is Not Writing a Strategy
A long-horizon Microsoft data example showing why historical coverage matters before writing an investment strategy.
I Had QVeris Read Apple’s Fundamentals: The Three Statements, As Reported Data, and TTM Metrics Are All Connected
A walkthrough of using QVeris to connect Apple’s financial statements, reported data, and TTM metrics in one research flow.
Provider Translation Review: From One Spreadsheet Revision to a Reusable Skill
How a one-off provider translation review became a reusable skill for checking terminology, copy quality, and multilingual metadata.
QVeris Integrates TikHub: Agents Can Finally Read the Real Momentum of Content Platforms
How QVeris integrates TikHub so agents can read public content-platform signals across short video, social, local service, and e-commerce workflows.
Why Financial Agents Are So Hard to Build: A Few Pitfalls We Recently Hit
A practical discussion of recent pitfalls in financial agents, from tool choice to parameter quality and source verification.
How QVeris Turns Fragmented APIs into a Financial Capability Network for Agents
How QVeris turns fragmented APIs into a financial capability network that agents can understand, choose from, call, and verify
What to Watch For When Designing a Parameter Repair Pipeline
Design notes for parameter repair pipelines, including what to log, when to retry, and how to keep failures inspectable.
Apple Has Laid Out Its AI Hand. Why Isn’t the Market Buying It? I Ran Six Data Checks with QVeris
A six-check QVeris workflow for examining Apple’s AI narrative through market data, fundamentals, and investor signals.
The Longer You Use Codex, the More You Need to Save Tokens
The longer you use Codex, the more you need to save tokens
Stop Letting AI Make Up Financial Analysis: I Built a Small Assistant That Finds Data Sources First
A small assistant design that forces financial analysis to find data sources before generating conclusions.
For AI Stock Research, Start by Getting Data Preparation Right
For AI stock research, start by getting data preparation right
A Zero-Code Retail Investor’s Field Test: Building a Stock Research Bot with Codex, OpenClaw, and QVeris. No Price Predictions, Just a Personal Investment Research Workbench
A zero-code retail investor’s field test: building a stock research Bot with Codex, OpenClaw, and QVeris. No price predictions, just a personal investment research workbench.
AI Agents Are Everywhere, But What Can They Actually Call?
AI Agents are everywhere, but what can they actually call?
Still Switching Data Sources by Hand for Cross-Border Research? QVeris × FMP Connects 60+ Exchanges Through One Entry Point
Still switching data sources by hand for cross-border research? QVeris × FMP connects 60+ exchanges through one entry point
Your AI Finance Agent Burns $200 a Day, and $130 Is Waste: A Billing Audit
A QVeris-based audit of financial data call costs, breaking down the hidden expenses AI finance agents incur across multi-vendor APIs, duplicate queries, and empty returns.
Less Hallucination, More Real-World Capability for AI
Less hallucination, more real-world capability for AI
Making Agent Tool Calls More Reliable: What I Have Been Working on at QVeris
A behind-the-scenes note on making agent tool calls more reliable through better search, parameter handling, and execution traces.
Financial AI Must Do More Than Answer. It Must Be Verifiable.
A QVeris product note on why financial AI must produce verifiable evidence instead of just fluent answers.
The Hard Part of Building a Financial Agent Is Not Calling Tools. It Is Choosing the Right Ones.
Why the hard part of building a financial agent is choosing the right tool, not just calling one successfully.
Starting with a Failed Tool Call: Teaching Agents to Auto-Repair Parameters
A failed tool-call case study on parameter repair and how agents can recover from malformed financial inputs.
Stop Wiring Up MCP Tools Yourself. Use QVeris.
Why agents often need a unified QVeris data layer instead of manually wiring many separate MCP tools.
Using QVeris to Turn Earnings Call Transcripts into Traceable Investment Research Signals
Using QVeris to turn earnings call transcripts into traceable investment research signals
QVeris + OpenClaw: Turning a Personal AI Assistant into a Production-Grade Agent
How QVeris and OpenClaw can turn a personal assistant into a production-grade agent with live external tools.
From 0 to 1: Building a Financial Research Agent and the Pitfalls I Hit
A practical walkthrough of building a financial research agent from scratch, including data access, tool selection, and workflow pitfalls.
From 3 Hours to 30 Seconds: With QVeris, Codex Becomes a Financial Data Analyst
How QVeris gives Codex live financial data access and turns a slow manual research task into a short, auditable workflow.
Building an Investment Research Agent and Missing Earnings Call Data? QVeris Has It Covered
How QVeris helps investment research agents fill gaps such as earnings call data, source discovery, and traceable tool calls.
How Much Does a Single Stock Data Query Actually Cost?
A practical cost breakdown of a single stock data query and what agent builders should understand about usage pricing.
QVeris Billing Upgrade: Clear Visibility Into Every Agent Charge
An overview of QVeris billing improvements that make agent usage, charges, and execution records easier to inspect.
Why Can’t DeepSeek or Doubao Answer “What’s the Stock Price Today?”
Why general-purpose LLMs struggle with live stock prices, and how QVeris connects agents to fresh market data.
QVeris Launches the Option Chain (T-Quote) Data Query Tool: A Complete Guide
A guide to QVeris option chain data tools and how agents can use T-quote signals in options workflows.
Install QVeris CLI in Hermes in 5 Minutes: One Prompt Is Enough
A short setup guide for installing QVeris CLI in Hermes and giving an agent access to live financial data through one prompt.
QVeris Launches the Agent Capability Map
QVeris launches the Agent Capability Map
Capability Explorer: See Everything Your Agent Can Do
Capability Explorer is an interactive map that lets developers and agents browse, compare, and live-test every real-world verified capability in the QVeris network.
QVeris CLI Launch: Turn Your Terminal into a Universal API Gateway
An introduction to QVeris CLI as a terminal-based universal API gateway for discovering, inspecting, and calling tools.
QVeris CLI: Your Universal API Gateway from the Terminal
QVeris CLI turns your terminal into a universal API gateway — call any of 10,000+ tools from a single command line.
QVeris Integrates Twelve Data: One API for U.S. Stocks, FX, Gold, and Bitcoin
QVeris integrates Twelve Data: one API for complete market data across U.S. stocks, FX, gold, and Bitcoin.
When Agents Become a Species
A deep dive into the emerging agentic AI ecosystem and why agents need infrastructure, not just intelligence.
Former Liblib CTO Starts a New Venture: Building Infrastructure for the Agent Era
Former Liblib CTO launches QVeris — building the action infrastructure for the agent era, with sub-second access to tens of thousands of tools.
OpenClaw + QVeris: Building AI Agents That Actually Access Real-World Data
Combine OpenClaw with QVeris and ship AI agents that pull live data from the real world — not the model's training set.
How to Use QVeris in Cursor
Step-by-step guide: install the QVeris extension in Cursor and let your AI call thousands of real tools.
Introducing the Official QVeris Skill for OpenClaw
Drop the official QVeris Skill into OpenClaw and give your agent instant access to 10,000+ tools.
QVerisBot 2026.3.8 Release Notes
QVerisBot 2026.3.8 release notes — memory upgrades, model switching, Qveris routing improvements, and a 60+ bugfix merge from OpenClaw upstream.
Why We Didn't Build Another LangChain
Our underlying judgment about how agents should run autonomously — and why we deliberately did not build another LangChain.
Agent, Action! We Want to Make AI Agent Action a Long-Term Commitment
Agent, Action! We have decided to make AI Agent “action” a long-term, fundamental focus.
Clawdbot + QVeris: Make Your AI Capable of Almost Anything
Connect Clawdbot to QVeris and give your AI assistant real access to tens of thousands of tools.
QVeris AI Co-Creation Camp Recruitment | Let’s Get Your AI Agent Taking Action
QVeris AI Co-Creation Camp recruitment | Let’s help your AI Agent truly take action.
Starting with FMP: Helping Agents Truly See the Financial World
Connect FMP through QVeris so agents can access live company financials, valuation metrics, market data, and macro indicators from one workflow.
From Armchair Strategy to Spatiotemporal Exploration: How QVeris Empowers MapStory to Reinvent Historical Storytelling
How QVeris empowers MapStory: moving from armchair strategy to spatiotemporal exploration, using agents to reshape historical storytelling.
Tripadvisor Is Now Free to Use, Giving Your Agent Instant Access to the World of Travel
Tripadvisor is now available for free through QVeris, giving your agent an immediate, comprehensive view of the travel world.
QVerisBot: The AI Assistant with 10,000+ Tools at Its Fingertips
Meet QVerisBot — an AI assistant that connects to 10,000+ tools and APIs out of the box.
Trillion-Scale AI Agents Are Coming: The Software Industry Is About to Change Completely
Trillion-scale AI agents are coming. The software industry is about to be fundamentally reshaped, and this article examines the underlying logic behind that transformation.