Your AI has no kill switch.
Here’s one.

from datavibe import DataVibeClient

client = DataVibeClient(api_key="dv_live_...")

# Check before you send
result = await client.check(
    content=ai_output,
    content_type="email"
)

if result.verdict == "safe":
    send_email(ai_output)
elif result.verdict == "blocked":
    # Never reaches your customer
    log_blocked(result.violations)

import openai

# Point your existing OpenAI client at DataVibe
client = openai.AsyncOpenAI(
    api_key="dv_live_...",           # your DataVibe key
    base_url="https://api.datavibe.cc/v1/proxy",
)

# Every response is governed automatically
response = await client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": prompt}]
)

# datavibe field added to every response
print(response.datavibe["verdict"])  # "safe" | "blocked" | "review_required"

curl -X POST https://api.datavibe.cc/v1/check \
  -H "Authorization: Bearer dv_live_..." \
  -H "Content-Type: application/json" \
  -d '{
    "content": "Your AI-generated text here",
    "content_type": "email"
  }'

API key + 10K checks/month

Governance Starter tier — free for alpha. 10,000 governed checks per month at no cost.

OpenAI-compatible proxy

Change base_url in your existing OpenAI client. Every response is governed before it returns.

21-rule base scanner

Competitor mentions, pricing claims, fake guarantees, PII, prompt injection, spam, and more.

Live dashboard

See every governed submission, violation, and verdict in real time. Full audit trail.

Slack + Jira integrations

Block violations auto-create Jira issues. Run /gate in Slack to check any text instantly.

MCP server

Add DataVibe to Claude Desktop, Cursor, or any MCP client. One config line.