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DecGuard

Reliability testing for probabilistic AI decisions.

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Reliability testing for probabilistic AI decisions in system-one-models: you describe the decision once in a small Decision Contract, run a dataset through any backend, and get one reproducible reliability report with CI-friendly PASS / WARN / FAIL gates. DecGuard measures accuracy and calibration, fuzzes behavioral invariants, compares model versions, and checks production records offline.

PH · launched Sep 30, 2026 · 2 upvotes (top 26%) · 0 views

Niche: ai agent evaluation platforms · 182 launches, 8 in the last 7 days ▼ -50% · Explore this niche →

Category and tags

  • Horizontal
  • Observability & eval
  • B2B
  • AI-native
  • Commercial product
  • Open Source
  • Artificial Intelligence
  • GitHub

Visit website ↗ Source listing ↗

Could you build this?

Partial A test-runner UI or CLI is easy to scaffold, but developing statistical reliability metrics, calibration curves (e.g., Brier scores, ECE), and contract validation for non-deterministic AI decisions requires specialized statistical and ML evaluation expertise.

What it would actually take: The stack would consist of a Python or Rust CLI/SDK, statistical evaluation libraries (scikit-learn, scipy), and CI integrations. The difficult aspects are formalizing the mathematical framework for 'Decision Contracts', measuring calibration error accurately across probabilistic outputs, and setting deterministic pass/fail confidence intervals on non-deterministic model runs. This demands applied statistics and machine learning reliability engineering expertise.

Competitors

Other products that read as similar to this one : 315 launches clear the similarity bar, closest 8 shown.

Attention rank: #88 of 316 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 323 days after the earliest competitor.

  • BotGauge · ph · 2026-10-28 · 209 upvotes · similarity 0.46
  • open-guardrail · github · 2026-11-04 · 30 upvotes · similarity 0.44
  • ExamGuard AI · ph · 2026-11-04 · 1 upvotes · similarity 0.43
  • jev-benchmarks · github · 2026-09-17 · 15 upvotes · similarity 0.43
  • AuxAI · ph · 2026-10-25 · 1 upvotes · similarity 0.43
  • AgentGuard Architecture Toolkit · ph · 2026-11-10 · 1 upvotes · similarity 0.42
  • AegisKernel · ph · 2026-11-02 · 2 upvotes · similarity 0.42
  • SafeLabs Guard · ph · 2026-11-03 · 2 upvotes · similarity 0.42

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