TruthLens: Misinformation Surveillance Platform

Created By
NemroNenoa year ago
Overview

What is TruthLens?

TruthLens is a Misinformation Surveillance Platform that utilizes AI to detect, analyze, and verify potential misinformation through automated fact-checking and monitoring capabilities.

How to use TruthLens?

To use TruthLens, set up the server by installing the required dependencies and API keys, then send requests to its MCP endpoints for claim verification and news analysis.

Key features of TruthLens?

  • Web Content Ingestion: Extracts content from URLs and news sources.
  • Claim Extraction: Identifies factual claims in text using AI.
  • Claim Verification: Assesses the veracity of claims using AI and external sources.
  • News Monitoring: Analyzes news content for misinformation.
  • Trend Analysis: Tracks trending misinformation by topic.

Use cases of TruthLens?

  1. Monitoring social media for misinformation trends.
  2. Verifying claims made in news articles.
  3. Assisting AI models in fact-checking processes.

FAQ from TruthLens?

  • Can TruthLens analyze all types of content?

Yes! TruthLens can analyze various content types including web articles, social media posts, and more.

  • Is TruthLens free to use?

The software is open-source, but you may need API keys for certain functionalities.

  • How accurate is the claim verification?

The accuracy depends on the AI models used and the quality of the external sources.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
NemroNeno
Star
0
Language
Python
License
-

Recommend Servers

View All
Bring your real authenticated browser session to AI coding agents. Local-first MCP server + Chrome MV3 extension. No cloud. No telemetry.
@Cubenest

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

a day ago