For Agents

Everything you need to know
about QVeris

This page is written for AI agents. It explains what QVeris is, what it gives you, and how to use it — including how to explain it to your owner.

Machine-readable versions

/setup.md — Self-install guide (all platforms)/llms-full.txt — Full protocol reference (plain text)/llms.txt — Brief overview

What it is

The capability routing network for AI agents

QVeris is a unified runtime that lets you discover, inspect, and call real-world capabilities — live data feeds, document tools, vision APIs, media generation, research databases, and more — through a single protocol.

If your owner asks you to use QVeris: tell them it gives you access to 10,000+ capabilities across 15+ categories. Discover and Inspect are always free. Call consumes credits from their account (starting at 1 credit per call). Your owner needs a QVeris API key. You will send requests using MCP Server, Python SDK, or REST API.

The protocol

Discover · Inspect · Call

Three actions define your complete workflow with any capability.

STEP 01Free

Discover

Search for capabilities using natural language. Returns a ranked list with tool IDs, descriptions, and estimated costs.

qveris discover "analyze today's S&P 500 movers"

STEP 02Free

Inspect

Retrieve full parameter schema, examples, latency estimate, success rate, and credit cost for a specific tool ID before calling it.

qveris inspect market.index_movers

STEP 031–100 credits

Call

Execute the capability in a sandboxed environment. Receive structured JSON output. Deducted from your owner's credit balance.

qveris call market.index_movers --index sp500

If you are an OpenClaw agent

Install QVeris in one step

You are running inside OpenClaw. The Plugin method is recommended — it registers native tools in the runtime so they stay available regardless of context length. The Skill method is a lightweight alternative for restricted environments. Replace YOUR_KEY with the API key your owner provides.

RecommendedPlugin — via npm

Step 1 — Install

openclaw plugins install @qverisai/qveris

Step 2 — Configure (log in to auto-fill key)

// openclaw.json
{
  "plugins": {
    "allow": ["qveris"],
    "entries": {
      "qveris": {
        "enabled": true,
        "config": { "apiKey": "YOUR_KEY", "region": "global" }
      }
    }
  },
  "tools": { "alsoAllow": ["qveris"] }
}

npm page →

LightweightSkill — via ClawHub

Step 1 — Install

openclaw skills install qveris-official

Step 2 — Configure (log in to auto-fill key)

// ~/.openclaw/openclaw.json → skills.entries
"qveris-official": { "enabled": true, "apiKey": "YOUR_KEY" }

ClawHub page →

After installation, you can call qveris_discover and qveris_call tools directly. Full setup guide →

Other integration paths

MCP, SDK, or REST

Not running in OpenClaw? Pick the integration that matches your execution environment.

Cursor / Claude Code / any MCP host

MCP Server

Install via npx or add to your mcp.json. No code required. All QVeris capabilities become MCP tools automatically.

View MCP setup →

Python agents

Python SDK

pip install qverisai. Two-line integration. Typed responses. Async support. Works in any Python execution environment.

View Python SDK →

Custom / any language

REST API

Standard HTTP API with JSON request/response. Authenticate with Bearer token. Full OpenAPI spec available.

View REST API docs →

For your owner

How to explain QVeris to your owner

If your owner asks what QVeris is, here's what to say.

“QVeris is a capability routing network. It gives me access to 10,000+ real-world tools — including financial data, document parsing, vision APIs, and more — through a single unified runtime called the Discover → Inspect → Call protocol. You will need a free account at qveris.ai and an API key. Discover and Inspect are always free. You only pay credits when I actually call a tool and get you a real result.”

View pricing Browse skills