Flare catches the issue the moment it happens and writes the ticket with a cause hypothesis already attached — then hands it to your coding agent to fix. One SDK, the whole loop.
Live in your app in under 10 minutes.
<script src="https://cdn.flares.in/sdk.js" data-project="YOUR_KEY"></script>useSession.tsIllustrative dashboard
> fix flare ticket #1287 → reads ticket + evidence → inspects useSession.ts ✓ proposes patch ✓ opens PR #4421Which release added the Safari refresh regression?
v2.41.3, after the ITP guard merge. 38 reports clustered under FLR-1287.
Refresh hits /auth/refresh with an expired access token instead of the refresh token. Likely regression in useSession.ts.
Illustrative dashboard
> fix flare ticket #1287 → reads ticket + evidence → inspects useSession.ts ✓ proposes patch ✓ opens PR #4421Which release added the Safari refresh regression?
v2.41.3, after the ITP guard merge. 38 reports clustered under FLR-1287.
The Flare loop
Capture the context the moment it happens. Understand it on arrival. Hand it to a coding agent or to your team. Close the loop with the customer when it ships.
Selected capabilities
Refresh hits /auth/refresh with an expired access token instead of the refresh token. Likely regression in useSession.ts.
The workflow
A drop-in widget records the screen, the network, the console, the device, and the tenant the moment the user hits the issue.
Each report becomes a structured ticket: title, summary, severity, repro, likely cause, suggested owner.
Through MCP, your coding agent reads the ticket, inspects the evidence, proposes the fix, and links the PR.
A tenant-scoped agent that answers product-quality questions in plain English with citations from your own data.
Refresh hits /auth/refresh with an expired access token instead of the refresh token. Likely regression in useSession.ts.
“I built Flare because I was tired of finding out my own product was broken from users. It now catches issues on flares.in before I ever would have. — Aakash, founder”
Flare.ai is an MCP server. Your LLM has structured access to tickets, evidence, and AI suggestions without raw credentials.
Triage, dedup, replay summaries, and Ask Flare.ai queries use tenant-scoped tools with audited inputs and outputs. No hallucinations, no data leaks.
Bring Claude, Gemini, or your own model. Flare.ai's MCP interface stays the same. You control the LLM and the data access.
Organization, workspace, and project boundaries are enforced in the database, not in application code. Cross-tenant access is structurally impossible.
Tokens, headers, masked inputs, and sensitive form values are stripped client-side. Evidence is privacy-aware before it ever reaches our servers.
Every AI capability runs through typed, tenant-scoped tools. Inputs, outputs, citations, and tool calls are logged and reviewable by your admins.
Sign in with Google. SDK keys are publishable, origin-locked, and revocable per project. Service credentials never leave the server.
FAQ
A drop-in script tag and a project key. Most teams capture their first ticket within an hour of signup.
Get started
Spin up your first project, drop the SDK into one route, and watch a real issue land with full evidence — ready for your team or your agent.
Free to start. Paid plans from $9/mo. No credit card to capture your first issue.
Rage clicks, dead clicks, refresh loops, abandoned flows — clustered by impact, ready to promote.
Illustrative dashboard