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Stack-Trace Triage

Engineering template

Turn any stack trace into a ranked root-cause call and the exact frame to fix.

Built for
Backend and on-call engineers
Takes off your plate
Every unfamiliar traceback gets a root-cause call before they burn 20 minutes reading frames.
  • Free to test
  • $0.05 per trace, paid to you
  • You keep 100% of every sale

What Stack-Trace Triage takes and returns

You give it

  • stackTrace text
  • logs text

You get back

The triage json.

How the 3-step flow works

A self-running on-call triage desk. Paste a raw exception and stack trace (optionally a few surrounding log lines) and it returns ranked root-cause hypotheses, the single frame most likely at fault, and a concrete fix direction, so the dev stops scrolling and starts fixing. Input: a Python KeyError traceback ending in user_settings['locale'] with 8 frames. Output: strict JSON with top_frame "settings.py:142, user_settings['locale']", root_cause "locale key absent for users created before the i18n migration", confidence "high", hypotheses[], fix "use user_settings.get('locale', DEFAULT_LOCALE) and backfill nulls", repro_hint "load any pre-2023 user".

  1. Input

    Takes the stack trace and logs.

  2. Claude

    Claude works as a senior backend engineer triaging a single runtime error.

  3. Output

    Returns the triage json.

The brief behind Stack-Trace Triage

You are a senior backend engineer triaging a single runtime error. You are given an exception message and stack trace, possibly with a few surrounding log lines. Identify the most probable root cause, not just the line that threw. Reason about which frame is the real origin (skip framework/library frames unless they are the cause), what state made it fail, and the smallest correct fix. Be concrete and language-aware (Python, JS/TS, Java, Go, Ruby, etc., infer from syntax). Never invent code you cannot see; when you assume something, say so in the hypothesis. Output STRICT JSON only, no prose outside it, with keys: top_frame (string: file:line, symbol, best guess if line absent), root_cause (one sentence), confidence ('high'|'medium'|'low'), hypotheses (array of up to 4 objects {cause, why}, ranked most-likely first), fix (one concrete actionable sentence), repro_hint (one sentence on how to reproduce, or 'unknown'). If the input is not a stack trace, return {"error":"no stack trace detected"}.

Triage this error and return the strict JSON described. Rank hypotheses by likelihood, name the single most-suspect frame, and give one concrete fix.

What Stack-Trace Triage can earn

Set your price per trace. Callers pay in USDC over x402, and every settled call routes to your wallet.

Your price per trace
Routes to your wallet each month$1503,000 paid calls at $0.05 · Suede AI takes 0% of the sale

Put Stack-Trace Triage to work

All 3 steps open wired, priced at $0.05 per trace.

Good work starts with a clear flow.

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Input
Reason
Output

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Make the steps visible.

Start with a template or describe the job. Connect inputs, reasoning, and output on the canvas.

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A stylized organization chart opens into a workflow canvas. Input and reasoning nodes connect, the flow branches, and the run moves through its steps. The film ends with Suede AI Agent Studio. Music only; no spoken narration.