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genpark-agentic-hallucination-grounding-checker-skill

Sentence-level RAG factual grounding and hallucination detection engine

Details

External ID
1371216382
Source
GITHUB
Company
—
Product
genpark-agentic-hallucination-grounding-checker-skill
Website domain
genpark.ai
Launched
Sept. 15, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.05976172175249808
Tags
agent-skills, ai-agent, bundle-pricing, dispute-arbitration, emotion-detection, hallucination-checker, mcp, mcp-server, model-context-protocol, python, speculative-decoding, zero-dependency
Fetched at
Sept. 19, 2026, 1:17 a.m.
Updated at
Sept. 19, 2026, 1:17 a.m.

Enrichment

Theme
Vertical
Horizontal
Function
Observability & eval
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
hallucination detection and factual grounding engine for rag systems
Manually corrected
False

Could you build this?

Yes An MCP skill that splits text into sentences and prompts an LLM to compare each statement against retrieved context documents is a standard RAG evaluation pipeline readily built via vibe coding.

Competitors

Other products that read as similar to this one — 883 launches clear the similarity bar, closest 8 shown.

Attention rank: #731 of 884 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 320 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a observability & eval tool for Media & entertainment yet.