The BlinkMetrics Gatekeeper lets you set up safeguards, require approvals, and see exactly what ran — so your team can experiment with AI without the risk.
Every request from your team’s AI tools flows through the Gatekeeper before it ever reaches an upstream API. Your rules decide what runs, what pauses for approval, and what gets blocked outright.
Teams that want to use AI are hitting the same four walls. Each one stops adoption cold until it’s solved.
Most API tokens are all-or-nothing. Your Pipedrive token lets an agent read contacts, update deals, and delete your entire pipeline. Your Asana token lets it create and remove any task or project in the system. There is no way to say “read-only” at the API level for most tools. So teams either hand over the keys and hope for the best, or they don’t use AI at all.
An AI agent can make dozens of API calls before anyone checks in. Without a log, you have no way to know what it read, what it changed, or what it tried to change. If something goes wrong, you’re left reconstructing what happened after the fact.
Every time you give an AI agent an API key directly, that key is exposed. If it ends up in a conversation log, an environment variable on a shared machine, or a third-party server, it should be treated as compromised. Most people know this and still do it because there’s no alternative.
One developer trying out an AI script on their own machine is manageable. But when your whole team starts connecting agents to your CRM, your calendar, your project management tools, and your ad accounts, nobody has visibility into what’s happening across all of those connections. That’s when things get messy.
The BlinkMetrics Gatekeeper lets your team connect AI agents to any API or MCP connection, with safeguards already in place. You define what's allowed, what needs approval, and what gets logged. Your team moves fast. You stay in control.
schedule a callDefine what's allowed, what's blocked, and what needs a human to approve for every API and MCP connection your team uses. Rules can be broad (“read-only for this entire connection”) or specific (“allow rescheduling calendar events, block deleting them”).
Every API call your team's AI tools make passes through the Gatekeeper in real time. Allowed requests go through. Blocked requests are stopped before they reach the API. Requests that need approval land in a queue for a human to review.
Every request is logged in your Activity feed. What was allowed, what was blocked, what was approved. Filter by connection, user, or time period. Check it Monday morning. Check it after every run. Full visibility, on your terms.
You own the rules. The Gatekeeper enforces them. Your team moves fast. You sleep at night.
Your sales team’s AI assistant can look up contacts, deals, and activity history in Pipedrive or HubSpot. But it cannot create, edit, or delete anything. If it tries, the request is blocked before it reaches the API. Your CRM data stays exactly as your team left it.
An AI agent drafts a response in your support tool and wants to send it. The Gatekeeper holds the request and puts it in your Approvals queue. You read the full request, approve it, and it goes through. Or you reject it. Nothing gets sent without a human decision.
Your scheduling agent can reschedule existing Google Calendar events, but it cannot delete events or create new ones without approval. You decide which actions are allowed per connection, and the Gatekeeper enforces those boundaries every time.
Even requests you allow automatically get logged. Your operations lead can check the Activity feed on Monday morning and see every API call that ran over the weekend, across every connection and every team member.
The Gatekeeper acts as a thin relay. It applies your rules, logs what you choose to log, and passes requests through to the underlying API. BlinkMetrics does not retain request data beyond what you want.
Your real API credentials never touch your AI agents. They stay in Google Secrets Manager. The Gatekeeper authenticates your team with a rotating BlinkMetrics token and retrieves the real credential securely at execution time. If a token leaks from a conversation log or a local machine, your actual API keys are never exposed.
Block, require approval, or allow and log. These are the same concepts you use in email filters, ad platform rules, and automation triggers. No learning curve.
Requests that need a human decision land in one place. You can see the full API request, the connection it’s targeting, and the action it wants to take. Approve or deny with full context.
See what happened without feeling like you’re running a compliance department. Filter by connection, user, or time period. “Activity” because you’re checking what ran, not surveilling your team.
Your team’s AI agents authenticate with a rotating BlinkMetrics token. Your real API credentials stay in Google Secrets Manager and are never exposed to agents, conversation logs, or local machines.
The Gatekeeper is not limited to a pre-built list of integrations. If your team connects to it through BlinkMetrics, the Gatekeeper can sit in front of it. Pipedrive, Asana, Google Calendar, Stripe, HubSpot, or any custom API.
No enterprise procurement process. No IT department required. Create your first rule and have it enforcing safeguards the same day.
“The BlinkMetrics® team was incredibly responsive and patient.
Every time we asked, ‘Can it do this?’ the answer was 'yes' delivered with clarity, enthusiasm, and follow-through. We never once felt like our questions were treated as silly or unwelcome.”
Erik Jensen
Chief Strategy Officer, Predictive ROI
Less manual work, more momentum.
Set up safeguards for every API and MCP connection your team uses. Your first rule takes minutes.
set up your first safeguard