Sentry

Sentry dashboard builder.
Error analytics with AI.

Connect to Sentry, build custom error dashboards, monitor release stability, and automate incident response — just by asking.

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InsufficientStockErrorerror2,847 events

InsufficientStockError: Requested 5 units of SKU-8847, but only 2 available

node_modules/express/lib/router/layer.js:95
95return fn(req, res, next);
src/middleware/auth.ts:42
42const token = await verifyJWT(req.headers.authorization);
src/services/user.ts:127
127const user = await db.query('SELECT * FROM users WHERE id = $1', [id]);
src/controllers/order.ts:84
84const inventory = await checkStock(items);
src/services/inventory.ts:203
203throw new InsufficientStockError(sku, requested, available);
First seen 2h ago 412 users affected

Every severity, at a glance.

camelAI pulls your Sentry data and builds severity-aware dashboards that show what matters most — right now.

Fatal
3
+2 vs yesterday
Error
847
-12% vs yesterday
Warning
2,391
+3% vs yesterday
Info
14,208
stable

Track stability across releases.

See which deploys introduced regressions and which ones cleaned things up. camelAI builds release-aware error dashboards automatically from your Sentry data.

v2.4.0
Mar 1
Error delta-8%
Crash-free99.7%
New issues2
v2.4.1
Mar 5
Error delta+2%
Crash-free99.5%
New issues1
v2.4.2
Mar 8
Error delta+47%
Crash-free97.2%
New issues14
v2.5.0
Mar 12
Error delta-31%
Crash-free99.8%
New issues3
v2.5.1
Mar 15
Error delta+5%
Crash-free99.1%
New issues5

Beyond the alert.

Sentry tells you what broke. camelAI builds the dashboard to understand why and how often.

Pattern Detection

Sentry: Groups similar errors

camelAI: Builds dashboards showing error correlations across services, deploys, and user segments. Surfaces patterns Sentry's grouping misses.

Root Cause Analysis

Sentry: Shows the stack trace

camelAI: Cross-references error spikes with deploy timelines, config changes, and traffic patterns to pinpoint what actually caused the regression.

Impact Assessment

Sentry: Counts affected users

camelAI: Builds impact reports: revenue at risk, SLA budget consumed, affected customer tiers. Gives you the business context to prioritize fixes.

From raw issues to real insight.

Ask camelAI to build an issue dashboard and get a live, filterable view of your Sentry data — deployed to a shareable URL.

Error Dashboard — Production3 critical
Error Rate (last 24h)
ErrorsSpike
5002500
00:0006:0012:0018:0023:00
errorInsufficientStockError
inventory.ts in checkStock
2,847 events · 412 users14s ago
fatalDatabaseConnectionTimeout
db.ts in getConnection
156 events · 89 users2m ago
warningRateLimitExceeded
api-gateway in handleRequest
8,291 events · 1,204 users1m ago
errorPaymentProcessingError
stripe.ts in createCharge
94 events · 67 users8m ago
errorInvalidTokenError
auth.ts in verifyJWT
531 events · 298 users32s ago
Showing 5 of 127 unresolved issues

Automated incident response.

Set up a cron job that monitors your Sentry error rate every hour. When errors spike above your baseline, camelAI posts a summary of the top new issues to Slack — before your customers notice.

Hourly error rate checks against 7-day baseline
Automatic Slack alerts with top issues and affected users
Release regression detection on every deploy
Custom thresholds per project and environment
camelAI
$"Every hour, check Sentry error rates. If errors spike above 2x baseline, alert #incidents in Slack with the top 5 new issues."
>Setting up cron job: 0 * * * *
>Connecting to Sentry API...
>Baseline error rate: 12.4/min (7-day avg)
>Threshold configured: >24.8/min triggers alert
>Slack webhook: #incidents channel configured
Cron job active. Next run: 14 minutes.
$

What will you build on your Sentry data?

“Connect to our Sentry project and build a release stability dashboard. Show crash-free rate, new issues, and error deltas for each release over the last 30 days.”

Try this prompt

“Pull all unresolved issues from Sentry, group them by service, and build an impact dashboard showing affected users, event frequency, and revenue at risk per issue.”

Try this prompt

“Analyze our Sentry error trends for the past week. Correlate spikes with our deploy log and build a report showing which commits introduced the most regressions.”

Try this prompt

“Set up an hourly cron that checks our Sentry error rate. If it exceeds 2x the baseline, post a summary of the top new issues to #incidents in Slack.”

Try this prompt

Your errors are already tracked.

Now make them actionable.

Start Building — freeBook a Demo