Proofline Diff Risk Check is a paid API for AI agents from proofline-audit.chrismellado.chatgpt.site, paid per call via x402, $0.25/call, status unknown (last checked 2026-10-14).
Analyzes a code diff for security and quality risk signals, returning scored findings with severity levels, repair suggestions, and a blocked/pass verdict.
Evidence-backed product validation and SaaS conversion audits, including a fixed $250 validation sprint with reproducible, Linear-ready defects.
Returns a JSON object with a numeric risk score (0-100), a verdict ('blocked' or 'pass'), a summary string, an array of findings each containing file path, line number, severity (high/medium/low), risk description, repair advice, category, and the evidence snippet, plus aggregated severity counts.
POSThttps://proofline-audit.chrismellado.chatgpt.site/api/x402/diff-risk-check?utm_source=zero.xyzChoose this endpoint when you need a fast, per-diff security risk score with actionable, Linear-ready findings tied to specific lines of code — especially for detecting dynamic code execution, shell injection, and untrusted input handling. Prefer it over generic linters when you want a scored verdict (blocked vs. pass) with structured repair guidance suitable for automated CI gating or ticket creation.
| Field | Type | Description |
|---|---|---|
| diff | string | Unified diff text inspected as untrusted data and never executed |
| focus | string | Optional short review focus included in the report |
{
"type": "json",
"example": {
"score": 63,
"product": "Proofline Diff Risk Check",
"summary": "2 risk signal(s) found across 1 changed file(s); 1 high, 1 medium, 0 low.",
"verdict": "blocked",
"version": "1.0.0",
"findings": [
{
"id": "dynamic-execution-1",
"file": "src/run.ts",
"line": 1,
"risk": "Dynamic execution can turn user-controlled text into arbitrary code or operating-system commands.",
"title": "Untrusted text may reach dynamic code or shell execution",
"repair": "Use a fixed command or parser, pass arguments without a shell, and validate every external value.",
"category": "execution",
"evidence": "+return eval(input);",
"severity": "high"
}
],
"severityCounts": {
"low": 0,
"high": 1,
"medium": 1
}
}
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