Twelve Data
Market data for read-only tool and timestamp tests.
Engineering integration tutorial
OpenClaw + QVeris:
Live Data for AI Agents
Connect OpenClaw to QVeris and verify external data, permissions and timestamps on one bounded task.
On this page
❌ Without QVeris
Agent: "What's the current Bitcoin price?"
Response: "As of my training data, Bitcoin was around $42,000 in early 2024..."
❌ Stale training data
✓ With QVeris
→ Discovers crypto.spot_price via QVeris
→ Calls the selected quote endpoint and checks its timestamp
Example response format: Bitcoin price is [returned value], as of [source timestamp].
✓ Live real-world data
What You'll Build
Build an agent that discovers and calls APIs at runtime, then validate it before production use.
Runtime Discovery
Discover matching capabilities using natural language; availability depends on the current catalog, permissions and endpoint contract.
Live Data Access
Retrieve external data from finance, weather, news and crypto providers. Check source timestamps; not every endpoint delivers real-time data.
Production Execution
Inspect execution isolation, structured JSON, execution identifiers and audit records; validate provider response contracts.
Before You Start
✓
OpenClaw installed
openclaw.ai → Installation guide
openclaw.ai → Installation guide
☐
QVeris account (free)
Discover and Inspect are free. Receive 1,000 one-time signup credits after verification; buy 10,000 credits for $19. Credits never expire, with no monthly fees or auto-renewal. Check the selected tool before a live call.
Discover and Inspect are free. Receive 1,000 one-time signup credits after verification; buy 10,000 credits for $19. Credits never expire, with no monthly fees or auto-renewal. Check the selected tool before a live call.
☐
QVeris API Key
qveris.ai/account → API Keys page
qveris.ai/account → API Keys page
☐
Basic AI agent familiarity
Optional but helpful for understanding the workflow
Optional but helpful for understanding the workflow
Step-by-Step: Connect OpenClaw to QVeris
01
Install the QVeris Skill for OpenClaw
Connect capability discovery and calls to OpenClaw through the official QVeris Skill; check current installation requirements.
OpenClaw — Terminal
# Send this to your OpenClaw agent
Install QVeris skill following
/skill/instruct.md
and use
QVERIS_API_KEY=your-key-here
Follow the official installation and configuration instructions, then verify the connection.
02
Verify the Installation
Ask your agent to confirm QVeris is connected and check your credit balance.
OpenClaw — Terminal
# Ask your OpenClaw agent:
"Check my QVeris connection status and show my remaining
credits"
# Expected response:
✓ QVeris connected
✓ API Key: qv-****-****
✓ Credits remaining:
Discover and Inspect are free. Receive 1,000 one-time signup credits after verification; buy 10,000 credits for $19. Credits never expire, with no monthly fees or auto-renewal. Check the selected tool before a live call.
✓ Region: Global (qveris.ai)
03
Discover Your First Capability
Ask your agent to find a real-world data source using natural language.
OpenClaw — Terminal
# Ask your OpenClaw agent:
"Find me a real-time cryptocurrency price API"
# Agent discovers via QVeris:
Found 4 capabilities:
1. crypto.spot_price Binance
⚡ 180ms 99.4%
2. crypto.market_data CoinGecko
⚡ 320ms 98.1%
3. crypto.ticker Kraken
⚡ 210ms 99.2%
4. crypto.ohlcv Bybit
⚡ 195ms 98.8%
Discovery is always free — no credits consumed.
04
Inspect Before Calling
Have your agent check parameters and cost before executing the call. Never call blind.
OpenClaw — Terminal
# Agent inspects the top result:
crypto.spot_price (Binance)
Parameters:
symbol string (required) e.g. "BTCUSDT"
Cost: 2 credits per call Latency:
~180ms average Success rate:
99.4%
# Agent confirms:
"Ready to call. This will use 2 credits."
05
Call and Inspect the Response
Synthetic example: the request, quote, 24-hour change, volume, and timestamp below are fabricated fixtures illustrating response structure, not a successful live call or a current market quote. The example timestamp (March 15, 2026) is not the publication or update date of this Guide. In production, verify the returned source and timestamp before describing a quote as current.
OpenClaw — Terminal
# Agent calls the capability:
"Run a synthetic Bitcoin quote fixture"
# Synthetic response fixture (no live call):
{
"symbol":
"BTCUSDT",
"price":
67423.51,
"change_24h":
+2.34,
"volume_24h":
28941823400,
"timestamp":
"2026-03-15T14:32:07Z"
}
# Agent responds:
"Synthetic fixture: Bitcoin price $67,423.51; simulated 24-hour change +2.34%. Not a current market quote."
What Your Agent Can Do After Integration
📈 Financial Research Agent
Pull real-time stock quotes, earnings data, analyst ratings, and market news. Build research reports from live sources.
Financial capability catalog₿ Crypto Monitoring Agent
Track spot prices, on-chain metrics, DeFi TVL, and token analytics across major exchanges in real time.
Live data📰 News & Sentiment Agent
Aggregate news from multiple sources, analyze sentiment, and surface relevant signals for any topic or asset.
Real-time feeds🛡 Compliance & Risk Agent
Run AML screening, sanctions checks, and regulatory compliance queries against live databases.
Verified providers📊 Market Data Agent
Access real-time and historical price data, corporate actions, index constituents, and alternative signals.
Multi-market📄 Document Processing Agent
OCR, PDF parsing, document extraction, and structured data output from unstructured documents at scale.
Production integration checksHow It Works Under the Hood
OpenClaw Agent
User's natural language request
User's natural language request
↓
Natural Language Intent
"Get Bitcoin price"
"Get Bitcoin price"
↓
QVeris Skill
Translates intent → Calls QVeris API
Translates intent → Calls QVeris API
↓
QVeris Network
Discover → Inspect → Route → Execute
Discover → Inspect → Route → Execute
↓
Real-World Provider
Market-data providers selected from the current catalog
Market-data providers selected from the current catalog
↓
Structured JSON Response
Back to agent → Natural language response
Back to agent → Natural language response
QVeris provides a unified entry point; the integrator must still configure permissions, handle rate limits and validate provider results.
Frequently Asked Questions
What is OpenClaw and how does it work with QVeris?
OpenClaw is an open-source AI agent runtime that lets you build and run AI agents locally or in the cloud. QVeris extends OpenClaw with a capability routing network — giving your agent access toexternal tools and APIsthrough a single skill installation. The agent sends a natural language request; QVeris discovers the right tool, inspects its schema, routes the call, and returns structured live data.
How do I give my AI agent access to real-world data?
Install the official QVeris Skill into your OpenClaw agent with one command. Once installed, your agent candiscover and call authorized external capabilities— stock prices, crypto data, weather, news, and more — using natural language, without any additional per-API configuration.
What's the difference between training data and real-world data?
Training data is what the model learned during training — it has aknowledge cutoff dateand cannot reflect current events, prices, or conditions. Real-world data access means the agent cancall live APIs at runtimeto get current information: today's stock price, live weather conditions, breaking news headlines, real-time cryptocurrency markets. Training data is frozen in time. Live data is now.
Is the QVeris Skill for OpenClaw free?
The skill itself isfree and open sourceDiscover and Inspect are free. Receive 1,000 one-time signup credits after verification; buy 10,000 credits for $19. Credits never expire, with no monthly fees or auto-renewal. Check the selected tool before a live call.
What real-world capabilities can my OpenClaw agent access?
Through QVeris, your agent can accesscapabilities across multiple domains: finance, crypto, weather, maps, news, OCR, documents and compliance; verify available coverage in the catalog atQVeris provider search (finance and commerce).