An API that catches what your LLM confidently got wrong
Details
- External ID
- 47700143
- Source
- HN
- Company
- —
- Product
- An API that catches what your LLM confidently got wrong
- Website domain
- factagora.com
- Launched
- April 9, 2026
- Cohort
- —
- Upvotes
- 5
- Upvotes percentile
- 0.11182519280205655
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Enrichment
- Theme
- Vertical
- Horizontal
- Function
- Observability & eval
- Audience
- Developer
- AI stance
- AI feature
- Project type
- Commercial product
- Normalized one-liner
- detect when llms make confident mistakes
- Manually corrected
- False
Could you build this?
Partial Wrapping an LLM call to cross-check another LLM output is trivial, but building a reliable, high-precision hallucination and error detection API requires specialized evaluation models, fact-checking datasets, and citation verification engines.
What it would actually take: A production hallucination detection service uses fine-tuned NLI (Natural Language Inference) models, external knowledge-graph retrieval, and calibrated token log-probability / entropy analysis. The hard part is providing deterministic, low-latency verification that doesn't simply suffer from the same hallucination pitfalls as the generation model it audits.
Discussion
2 comments analyzed.
Concerns raised: Performance in real production use cases unclear, Whether it actually catches hallucinations effectively
Competitors
Other products that read as similar to this one — 237 launches clear the similarity bar, closest 8 shown.
Attention rank: #208 of 238 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 162 days after the earliest competitor.
- A tool to properly observe your LLM's context window · hn · 2025-10-30 · 8 upvotes · similarity 0.60
- KillSwitch · hn · 2026-09-19 · 10 upvotes · similarity 0.54
- LLM fine-tuning without infra or ML expertise · hn · 2026-01-21 · 5 upvotes · similarity 0.52
- ATO · hn · 2026-03-19 · 6 upvotes · similarity 0.52
- jevals · hn · 2026-09-20 · 47 upvotes · similarity 0.52
- Tokensift, an open-sourced token-efficiency linter for LLM prompts · hn · 2026-08-29 · 6 upvotes · similarity 0.52
- awesome-reasoning-generalization · github · 2026-09-10 · 143 upvotes · similarity 0.50
- BonzAI · hn · 2026-05-22 · 5 upvotes · similarity 0.50
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a observability & eval tool for Media & entertainment yet.