Your AI agent gets secure, instant access to BigQuery. No manual work. No security trade-offs. Just paste your Project ID and go.
Connect BigQuery NowSomeone on the business team needs a number from BigQuery and the data team is backed up for three days. Self-serve analytics sounds great until you realize it means giving an AI agent raw database credentials with no guardrails, no query logging, and no way to know what it accessed.
Data teams spend 45% of their time on ad-hoc data requests
Every week you wait, the gap gets wider.
Every ad-hoc BigQuery request goes through the same three people. They are buried. Your business team waits days for numbers that an AI agent could pull in seconds.
When your AI agent queries BigQuery, who sees what it accessed? Without logging, a runaway query or a sensitive data pull goes completely unnoticed.
Your BigQuery connection string is sitting in an .env file that half the team can read. One accidental git push and your database is exposed.
Everyone agrees the business team should be able to pull their own BigQuery reports. But nobody has bandwidth to build it securely. So the ticket sits.
What if connecting BigQuery took 60 seconds — and stayed secure forever?
Clawctl makes connecting BigQuery to your AI agent dead simple.
my-project once, and your Clawctl agent gets immediate, secure access.
Your credentials are encrypted and never stored in plaintext.
Your agent can only reach BigQuery's approved endpoints (bigquery.googleapis.com, www.googleapis.com) — nothing else.
And every single action is logged so you always know exactly what happened.
No security nightmares.
Connecting BigQuery to Clawctl is as simple as it gets.
You
my-project into the Clawctl dashboard
Clawctl
Clawctl encrypts your Project ID and configures secure access to BigQuery
Clawctl
Your Clawctl agent uses BigQuery instantly — every action logged and secured
This isn't just another integration. Here's what changes when you connect BigQuery to Clawctl.
Once connected, your Clawctl agent can read, write, and take action in BigQuery on its own. No custom code. No middleware. No duct tape. It just works — using the same MCP protocol trusted by Claude, Cursor, and Windsurf.
Your BigQuery Project ID is encrypted the moment you paste it. It's never visible to the AI model, never logged in plaintext, and never floating around in config files. If your security team asks how credentials are handled — you'll have a good answer.
Every action your agent takes in BigQuery is logged with full context. Who triggered it, when it happened, and what was done. No more wondering "what did the AI do?" — you have the receipts.
Connect BigQuery once and every agent in your workspace gets access automatically. No repeating setup steps. No managing credentials across multiple places. One connection, used everywhere.
See what changes when you connect BigQuery through Clawctl instead of managing it yourself.
Project ID scattered across config files and environment variables
One secure place for your BigQuery Project ID — encrypted and managed for you
No idea what your AI agent is doing with BigQuery
Complete activity log — every action, every timestamp, every detail
Your agent can reach any endpoint with no limits
Locked down to only approved BigQuery endpoints (bigquery.googleapis.com) — nothing else
Rotating a key means updating it in 5 different places
Update once in Clawctl — every agent picks it up instantly
Weeks of custom data and analytics integration work
60 seconds — paste your Project ID, click connect, done
Skip a step, leave a gap — a single leaked key costs $50,000+ in runaway compute before you even notice.
<1 min
Pick a plan. We provision a hardened OpenClaw with BigQuery already wired in — encrypted credentials, egress controls, and a full audit trail from day one.
No DIY BigQuery security. No leaked keys. No gaps to exploit. Same agent, actually safe.
If any of these sound like you, this integration was made for your workflow.
Teams Building AI-Powered Products
“You want to ship BigQuery automations fast, but building secure data and analytics integrations from scratch takes weeks”
Go from idea to working BigQuery automation in minutes. Focus on what your product does, not on plumbing.
Leaders Who Care About Security
“Your team needs BigQuery access in their AI workflows, but you can't afford a Project ID leak”
Give your team the BigQuery + AI combo they want — with the security controls you need to sleep at night
Solo Founders & Small Teams
“You're wearing every hat and don't have time to build custom BigQuery integrations”
Get enterprise-grade BigQuery integration without an enterprise-grade engineering team. 60 seconds and you're live.
Your BigQuery Project ID is encrypted and never exposed
Your agent can only access approved BigQuery endpoints (bigquery.googleapis.com, www.googleapis.com)
Every BigQuery action is logged with full details
One-click setup — no code, no config files
Instant Project ID rotation across all agents
Works with every Clawctl agent in your workspace
Every day you spend manually handling BigQuery tasks is a day your competitors are automating theirs. The Clawctl BigQuery integration takes 60 seconds to set up and costs $49/month. That's less than an hour of developer time — and it replaces weeks of custom data and analytics integration work. Your Project ID stays encrypted. Every action is logged. And your AI agent gets the BigQuery access it needs to actually be useful. Stop doing it the hard way.
60 seconds to set up. $49/month. No contracts. Cancel anytime. Your BigQuery integration goes live the moment you click connect.
Your Project ID is encrypted the moment you paste it — it's never stored in plaintext. The AI agent never sees your raw keys. When your agent needs to access BigQuery, Clawctl's secure gateway handles the authentication behind the scenes.
Absolutely. Clawctl restricts your agent to only approved BigQuery endpoints like bigquery.googleapis.com. Every action is logged with who triggered it, when, and what happened. You stay in full control of what your agent can and can't do.
Under a minute. my-project, click connect, and your agent can start using BigQuery immediately. No code changes, no config files, no waiting.
Update it once in Clawctl and every connected agent picks up the new Project ID instantly. No tracking down where the old key was used, no redeploying anything.
When you use BigQuery's API directly, you're on your own for credential management, security, and logging. Clawctl handles all of that for you — encrypted storage, access controls, and a complete audit trail — so you can focus on building your product instead of managing data and analytics infrastructure.