Developer Tools
Build an API monitoring and analytics dashboard
Kliv is an AI app builder. Describe the API monitoring and analytics dashboard you need — probes, budgets, partner usage, incidents, status pages, and Slack alerts — and it builds it.
Just enter your idea into the text box and AI will build it for you
What is Kliv?
Kliv isn’t a monitoring vendor with fixed dashboards — it’s an AI that builds software for you.
You describe the app you need in plain words, and Kliv builds the database, the logic, the screens, and the scheduled jobs. You own the result, run it on your own accounts, and can change it later by asking. It isn’t a template dashboard.
On this page, that app is an API monitoring and analytics dashboard. Kliv builds all kinds of web apps; this one watches endpoints, partners, budgets, incidents, and status pages in the shape your team needs.
Why build your own API monitoring?
Most monitoring tools start with URLs and uptime. That is useful, but a team with partner integrations usually needs more specific answers: which partner is using the most budget, which endpoint changed behavior, who acknowledged the alert, and what the public status page said at the time.
Kliv builds the monitor around your nouns. Endpoints have owners and budgets. Partners have keys and usage. Incidents have timelines. The status page, alerts, and postmortem all read the same history instead of copying it into separate tools.
Endpoints, probes, and budgets
The dashboard is built from records your team can inspect.
Endpoints and error budgets
Each endpoint stores its owner, SLO, and budget. The burn chart uses the budget your team sets, not a vendor default.
Probes
Server-side functions run on schedules, such as every minute for the tracking feed and hourly for the billing export. Each run writes a row, so history is queryable.
Partner keys and usage
Every call counts against a partner key. A signed-in partner can see their own usage and incidents, while row rules keep other partners out.
Alerts and acknowledgements
Thresholds tie back to budgets. Alerts post where the team works, and acknowledgements record the engineer and time.
Status page
The public status page is generated from the incident table, so updates and incident history stay connected.
An example: Ashwin’s freight-tracking API
Here’s how one team might use API monitoring built with Kliv. It’s only an example — you would describe your own endpoints, partners, budgets, and alert rules.
The probe detects repeated failures
Ashwin’s rates endpoint returns three consecutive 500s. The probe writes three failed rows, and the alert threshold reads those rows.
The right team sees the alert
The alert lands in #platform with the graph attached. An engineer acknowledges it from the thread, and the incident opens with an owner already assigned.
The status page updates from the incident
The public page switches to degraded because the incident row says so. Partners can read the update before sending support email.
Recovery is measured before closure
After the fix deploys, the probe closes the incident only after ten straight minutes of green checks. Recovery is measured from data, not declared by hand.
The postmortem starts with a timeline
The team already has every probe row, alert, acknowledgement, and status change in order, so nobody reconstructs the incident from memory.
Describe the API dashboard you want
Kliv builds from your description, so include endpoint names, schedules, budgets, partners, alert channels, and what customers should see. The more detail you give, the closer the first version.
Partner API monitor
Probes, budgets, partner usage, and a status page.
“Build an API monitoring dashboard for our freight-tracking API. Probe /tracking every minute and /billing-export hourly, set a 99.5% weekly SLO on /tracking, chart latency and error rate per partner key, publish a public status page from incident records, and post Slack alerts to #platform when 25% of the weekly budget burns.”
Internal services board
A service health board per owning team.
“Build an internal service health board. Each team registers endpoints, owners, SLOs, and Slack channels. Probes run every five minutes by default, failed checks open incidents, and alerts go to the owning team’s channel with acknowledgement tracked.”
Webhook delivery tracker
Outbound calls, retries, and customer-visible history.
“Build a webhook delivery tracker for our marketplace. Log every outbound call, status code, response body, retry, and destination URL. Chart failures by destination, and let each customer sign in to see delivery history for their own endpoints only.”
Built like the systems it watches
Changes can go through review. The tool’s source syncs with your repository, so probe definitions and alert thresholds can be reviewed like other production changes.
Usage counters can become statements. Usage is counted where it is charted. If you bill overage — for example, $0.42 per thousand calls after the included million — monthly statements can come from those same counters through your own Stripe account. You can also produce statements without billing.
Alerts can stay in Slack. The Slack connection posts alerts with context and can record acknowledgements back into the incident. The token lives in the platform’s vault, not in the codebase.
Monitoring tools often get built properly after an incident. The broader internal-tools pattern is collected at the properly-afterward list.
Common questions
What exactly is Kliv?
Kliv is an AI app builder. You describe the API dashboard you need, and it builds a real app with probes, incidents, status pages, usage records, and admin screens.
Do I get a real app, or a template?
A real app. Your endpoints, partner keys, schedules, budgets, incidents, and visibility rules are stored in a database built for your team.
Can I change it after it’s built?
Yes. You can ask for new probes, budgets, charts, partner views, or alert rules in plain words, and Kliv updates the app.
Can partners see each other’s traffic?
No. A partner login reads that partner’s keys, usage charts, and incidents only. Other partners’ rows are not returned.
Where do the probes run?
As server-side functions inside the app, on schedules you set. Each run writes a row, which is why history is queryable instead of a collection of screenshots.
Can we bill partners for usage?
Yes. Usage counters can include prices, such as an included million calls and then $0.42 per thousand calls, invoiced through your own Stripe account. You can also use the same counters for plain usage statements.
What happens to the status page during an API outage?
It stays separate from the API it watches. The status page is hosted with your Kliv app, so the monitored API’s outage does not take down the explanation page.
Can alerts go to Slack?
Yes. Alerts can post to Slack with context, and acknowledgements can come back from the thread into the incident record.
Can I use my own domain?
Yes. Public status pages and private dashboards can run on your own domain.
Can I move off Kliv later?
Yes. The app’s code syncs to your own Git repository, so leaving is a git pull rather than a rebuild.
Do I need a separate analytics tool?
No. The charts can read directly from your probe, incident, and usage rows, with the events you define for your own team.
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Watch it before it wakes you
Describe the endpoints, thresholds, partners, and alerts. Kliv builds the watcher, the status page, and the usage reports around them.