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NoParrot

Paid
★ 1 • Updated Jul 1, 2026, 03:15 PM

NoParrot is a fact-check layer for AI that verifies claims made by large language models.

Use Cases ▼
01

Verify factual accuracy of AI-generated answers

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Detect hallucinations in LLM outputs

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Compare AI model reliability on specific topics

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Generate trust scores for AI responses

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Educate users about AI trustworthiness

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Integrate fact-checking into apps via API or widget

07

Monitor AI model performance over time

What Problem It Solves ▼

NoParrot addresses the problem of AI hallucinations and unverified claims by providing a multi-model verification system that highlights which parts of an AI-generated response are trustworthy and which are not.

Key Features ▼
✓

Fact-checking across multiple AI models

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Color-coded confidence scores for each claim

✓

Detects hallucinations effectively

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Easy-to-use interface with extension and widget

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Transparent comparison of AI model performance

Overview

NoParrot is a fact-check layer for AI that verifies claims made by large language models. Users input a question, and NoParrot extracts individual factual assertions from the AI's response, then cross-references them against multiple other AI models to assess agreement. Each claim is color-coded as verified (green), uncertain (yellow), or disputed (red), providing immediate visual trust indicators. The service includes a browser extension, a widget for integration, and an API for developers. NoParrot also tracks hallucination rates and provides a 'NoParrot Score' to quantify model reliability on specific topics. The platform aims to increase transparency and trust in AI-generated content by highlighting blind spots and inconsistencies. It is available as a paid SaaS with tiered pricing: a free tier (15 queries/month), Pro ($49/month for 250 queries), and Executive ($199/month for 750 queries). Features include multi-model comparison, hallucination detection, branded PDF exports, and priority support. Over 13,000 facts have been checked, with an average agreement rate of 84% across four compared models.

Pros & Cons

Pros

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Fact-checking across multiple AI models

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Color-coded confidence scores for each claim

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Detects hallucinations effectively

+

Easy-to-use interface with extension and widget

+

Transparent comparison of AI model performance

Cons

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Limited free tier (15 queries/month)

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Only compares up to 4 models currently

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Requires subscription for higher usage

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May not catch all nuanced inaccuracies

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Reliance on other models' agreement as truth signal might be circular

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