Jira API
Build sprint analytics and issue history Jira can't show
Pull issues, sprints, boards, and worklogs from Jira Cloud. Track cycle time, sprint velocity, and time-in-status across months. Surface bottlenecks that Jira's built-in reports hide.
Free plan for up to 10 users. REST API included.
How it works with Loony
Describe it.
Deploy it.
Query it.
Managed database.
Your Jira data lives in its own Postgres instance. Zero config. Data accumulates over time.
Scheduled syncs.
Cron jobs run on Loony infra. Every minute on free. Your data stays fresh without you thinking about it.
REST + MCP endpoints.
Query from your agent, your dashboard, or connect BI tools directly. Full OpenAPI spec included.
$ "Pull all Jira issues, sprints, and worklogs from the last 6 months for our engineering board. Build a sprint-over-sprint velocity tracker and flag issues that spent more than 5 days in review." ✓ Schema validated ✓ Database provisioned ✓ Scripts deployed ✓ Schedules registered Done. # Your data is now at: REST /data/v1/jira/query MCP /mcp/v1/jira/mcp SQL psql $DATABASE_URL
What you get
Jira's built-in reporting is limited to canned charts and the current board view. It cannot show you how cycle time trended over the last six months or which issue types consistently blow their estimates. Loony syncs your full issue history — every status change, every sprint, every worklog — into Postgres on a schedule. Your agent can query across quarters to find patterns that Jira's UI will never surface.
mv_sprint_analytics sprint text -- sprint name started_at date -- sprint start date committed integer -- story points at sprint start completed integer -- story points done avg_cycle_days numeric -- mean days from In Progress to Done review_blocked integer -- issues stuck in review > 5 days total_workhours numeric -- sum of logged worklogs carryover_pct numeric -- percent of points carried over
Even better together
Join Jira tickets with GitHub PRs to measure code-to-deploy lead time. Add Slack message counts to correlate communication load with sprint outcomes. Connect Notion docs to track which specs led to on-time delivery.
