Facticity.AI Complete Integration for Openclaw

A comprehensive integration for Facticity.AI that enables automated fact-checking, claim extraction from various media, and source reliability analysis.

shahruj
v0.1.0
Feb 23, 2026
0
1.3k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install facticity-ai

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install facticity-ai using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Facticity.AI Complete Integration?

This skill integrates the full power of Facticity.AI directly into your agentic workflow. It allows users to verify the truthfulness of specific claims, analyze the bias and quality of news sources, and extract actionable claims from text or social media videos like YouTube, TikTok, and Instagram. By leveraging Openclaw Skills, developers can build more trustworthy AI agents that do not just generate content but also validate it against real-world evidence.

The skill handles both synchronous checks for immediate results and asynchronous tasks for complex, deep-dive investigations. It provides a robust bridge between raw information and verified facts, ensuring that your automation projects maintain high standards of accuracy and source transparency.

Facticity.AI Complete Integration Use Cases

  • Verifying the accuracy of political statements or news headlines in real-time.
  • Extracting and summarizing core claims from long-form YouTube videos or social media posts.
  • Auditing a list of URLs for media bias and journalistic quality before including them in research.
  • Monitoring the factual integrity of AI-generated content to prevent hallucinations.

How Facticity.AI Complete Integration Works

  1. The user provides a claim, text, or URL via a command like /fact-check or /extract-claim.
  2. The skill validates the presence of the FACTICITY_API_KEY environment variable or configuration setting.
  3. For fact-checks, the system queries the Facticity.AI API to compare the input against indexed evidence and source data.
  4. For video or article links, the skill triggers an extraction process that may include automated transcription of audio and metadata analysis.
  5. The skill returns a structured JSON response containing truth classifications, evidence sources, and bias metrics for the agent to process.

Facticity.AI Complete Integration Setup

First, obtain an API key from the Facticity dashboard.

Set the environment variable:

export FACTICITY_API_KEY=your_api_key_here

Alternatively, add it to your configuration file (~/.openclaw/openclaw.json) to enable this within Openclaw Skills:

{
  "skills": {
    "entries": {
      "facticity-ai": {
        "enabled": true,
        "apiKey": "your_api_key_here"
      }
    }
  }
}

Facticity.AI Complete Integration Data Schema & Taxonomy

The skill returns detailed objects based on the operation performed. Below are the key data components:

Field Description
classification The truth value: True, False, or Mixed
evidence Array of URLs and snippets supporting or refuting the claim
bias_label Classification of source bias (e.g., Left-Center, Right)
quality_label Human-readable journalistic quality category
credits_left Current balance of API tokens available for the account

For async tasks, a task_id is provided to track the status until the investigation is complete.

Facticity.AI Complete Integration Advanced Features

  • Async processing mode for long-running, comprehensive fact-checking tasks without blocking workflows.
  • Automated transcription for multimedia content from YouTube, TikTok, and Instagram to extract claims from audio.
  • Deep source reliability metrics including specific numerical bias and quality scores from MediaBias data.
  • Multi-language support through the language_code parameter, allowing for global claim extraction and verification.

SKILL.md


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