The trust layer for AI agents

Connect your agents to live data.

The only AI API that proves its answers. Every claim verified before your agent acts on it.

1,000 credits/month · No credit card

pip install veroqnpm install @veroq/sdknpx skills add veroq-ai/agent-skillsdocker run veroq/shield

Works with your stack

CLIPythonTypeScriptLangChainCrewAIHaystackVercel AIMCPn8nAll integrations →

Six AI models guess. VEROQ knows.

Consensus verification queries 6 LLMs in parallel — plus real-time data across markets, economics, energy, filings, and more. The only verifier with live ground truth.

Consensus Verification~$0.002/claim

“NVIDIA is trading at $280”

Claude
UNVERIFIABLETraining data

GPT
UNVERIFIABLETraining data

Gemini
UNVERIFIABLETraining data

DeepSeek
UNVERIFIABLETraining data

Llama
UNVERIFIABLETraining data

Grok
UNVERIFIABLEX + training

VEROQ

CONTRADICTEDLive

Correction: NVIDIA is at $258.30, not $280. Checked 2 minutes ago via Yahoo Finance.

6 models: can't verify · VEROQ: ground truthreceipt: vc_...

Already have an LLM? Shield it.

One line wraps any LLM output with fact-checking. Works with OpenAI, Anthropic, Google, Meta, Mistral — any model.

Beforeno verification

response = openai.chat(
  "What's NVIDIA's revenue?"
)
# Could be hallucinated
print(response)

Afterevery claim verified

from veroq import shield

result = shield(openai.chat(
  "What's NVIDIA's revenue?"
))
print(result.trust_score)  # 0.94
print(result.corrections)  # [...]

Try Shield →

78

MCP Tools

Full API coverage

1,061

Tickers

Equities, crypto, forex

148

Sources Scored

Trust-ranked by tier

<20ms

Fast Tier

Pre-computed signals

// Why VEROQ

Not just answers. Proof.

✓Evidence-backed

Consensus verification across 6 models plus live data. Every source scored by trust level. Claims backed by primary sources weigh more than advocacy or opinion.

⚖Workflow-safe

Multi-agent pipelines are validated end-to-end. Each step is checked before the next runs. Partial failures are surfaced, never hidden.

⚙Governable

Add policies, confidence thresholds, approval workflows, and audit trails. Block low-trust outputs before they reach production.

CI/CD Shield

Verify AI outputs in your pipeline. GitHub Action runs veroq test on every PR — block deploys with wrong claims.

# .github/workflows/veroq.yml
- uses: veroq-ai/shield-action@v1
  with:
    threshold: 0.7
    fail-on-contradiction: true

New

Build Agentic Workflows

Chain search, analysis, and verification into recurring pipelines. Schedule to Slack, email, or webhook. Every output verified.

Explore Workflows →

Get started in seconds

Pythonpip install veroq

from veroq import Veroq

client = Veroq()

# Ask anything — verified with live data
r = client.ask("What's NVDA trading at?")
print(r.summary, r.trust_score)

# Consensus: 6 models + ground truth
c = client.verify.consensus("NVIDIA beat estimates by 12%")
print(c.consensus_verdict, c.dissent)

Build AI systems that prove their answers.

1,000 free credits/month. No credit card. Every answer backed by evidence.

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