BugCost uses Coral to JOIN Sentry, GitHub, and Stripe in one SQL query — then Claude to identify the root cause and the fix. In 9 seconds.
TypeError: Cannot read properties of undefined (reading 'price')
checkout/payment.ts · 2,847 occurrences
Revenue lost
280 failed Stripe charges and counting
Coral + Claude investigation
Coral SQL — 3 sources, 1 query
SELECT s.title, g.author__login AS introduced_by,
COUNT(p.id) AS failed_payments,
SUM(p.amount) / 100.0 AS revenue_lost_usd
FROM sentry.issues s
JOIN github.commits g
ON g.commit__author__date <= s.first_seen
AND g.commit__author__date >= s.first_seen
- INTERVAL '2 hours'
JOIN stripe.charges p
ON p.created >= s.first_seen
AND p.status = 'failed'
WHERE s.level = 'fatal'
ORDER BY revenue_lost_usd DESC;Running query...
No credit card. Connect in 3 minutes. 100% local — your data never leaves your machine.
$20,336
avg monthly revenue lost to bugs
9 sec
average investigation time
3
data sources joined per query
0
lines of glue code needed
The problem
Today, figuring out which bug costs the most money means opening 3 dashboards, manually correlating timestamps, and guessing. Most engineers never bother — the expensive bugs stay invisible for weeks while revenue bleeds silently.
Before BugCost
With BugCost
How it works
Paste your Sentry auth token, GitHub personal access token, and Stripe secret key. Coral registers each source locally — no data leaves your machine.
SENTRY_TOKEN · GITHUB_TOKEN · STRIPE_API_KEYOne SQL query cross-joins fatal errors, deployment commits, and failed charges. Coral handles auth, pagination, and rate limits — your agent just reads the result.
sentry.issues × github.commits × stripe.chargesThe clean tabular result goes to Claude. With no raw JSON to hallucinate over, Claude generates a precise root cause and actionable fix in under 2 seconds.
91% confidence · 2-sentence summary · fix recommendationOpen BugCost, see which bug cost the most revenue, click it, read the AI verdict, and act. No tabs. No guesswork. No 45-minute investigation sessions.
$8,400 bug identified · fix shipped · revenue recoveredTechnology
Coral resolves the JOIN before Claude sees any data. Clean rows in — precise analysis out. No hallucinations. No approximations.
Queries Sentry, GitHub and Stripe simultaneously. Handles auth, rate limits, pagination. 100% local.
Receives clean tabular data from Coral. Generates precise technical summaries and fix recommendations.
Provides incident ID, error title, first_seen timestamp, and occurrence count.
Identifies commits made within 2 hours before each incident. Maps to PR and author.
Counts failed payments after each incident start. Calculates exact dollar revenue lost.
Features
Coral JOINs Sentry, GitHub, and Stripe before the AI sees any data. No hallucinations. Exact revenue numbers.
Claude analyzes each incident and generates a 2-sentence technical root cause + an actionable fix recommendation.
The exact dollar amount each bug cost your business — a number that doesn't exist in any single dashboard today.
Identifies the exact PR and author responsible. Cross-references the deployment window with the error spike.
What takes an engineer 45 minutes of manual correlation takes BugCost 9 seconds. Automatically.
Sort by revenue lost, not error count. Fix the $8,400 bug before the $40 bug. Every time.
The bug is running right now. Every minute costs more.