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youtube-intel-evidence-kit

PyPI·Infrastructure

youtube-intel-evidence-kit is a Python package for cross-video YouTube analysis focused on opinion-terrain mapping. It uses caption-first processing to extract evidence, apply quality gates, and prepare MCP-ready handoffs. Useful for researchers, analysts, and investigators needing structured intelligence from public video content.

Open SourceMITCLI
Visit PyPI↗

Overview

4 features

In the Developer Tools space, youtube-intel-evidence-kit takes a focused approach. Systematically analyzing and packaging evidence from multiple YouTube videos for research or intelligence work. It is built as an open-source project for researchers. The project is open source (MIT). It ships for the command line.

youtube-intel-evidence-kit first shipped in 2026. The project is developed in the open on GitHub with 10 commits in the last 90 days. Key capabilities include Video Analysis, Caption Extraction, and Evidence Packaging. It exposes integrations via an MCP server.

Summary written by a language model from the project’s public pages.

  • ✓Video Analysis
  • ✓Caption Extraction
  • ✓Evidence Packaging
  • ✓Cross-video Comparison
Tags
youtube-analysisevidence-extractionopinion-mappingmcp-handoff
AI capabilities
TextMultimodal
Inference: Cloud API

Built with & integrations

Connectors
MCP
Runs on
CLI

Trust & compliance

License
MIT
Verified signals
✓HTTPS✓Open Source✓GitHub✓Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed3 Aug · 11:28 UTC
    youtube-intel-evidence-kit verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about youtube-intel-evidence-kit

What is youtube-intel-evidence-kit?
Systematically analyzing and packaging evidence from multiple YouTube videos for research or intelligence work. It is catalogued under Developer Tools on PulseGate.
Who should use youtube-intel-evidence-kit?
youtube-intel-evidence-kit is an open-source project built for researchers.
Does youtube-intel-evidence-kit have a free plan?
Yes — youtube-intel-evidence-kit is open source under the MIT license and free to use.
What platforms does youtube-intel-evidence-kit run on?
youtube-intel-evidence-kit runs on the command line.
Is youtube-intel-evidence-kit still maintained?
The GitHub repository shows 10 commits in the last 90 days.
What projects are similar to youtube-intel-evidence-kit?
Similar projects tracked by PulseGate include Track Debug, ZenPress, and StarPulse.Track DebugZenPressStarPulse
When did youtube-intel-evidence-kit launch?
youtube-intel-evidence-kit first shipped in 2026.
Is youtube-intel-evidence-kit open source?
Yes — youtube-intel-evidence-kit is open source under the MIT license, developed on GitHub.

At a glance

Platforms
Cli
Languages
English
Open source
Yes (GitHub)
License
MIT
First seen
3 Aug 2026
Built for
researchers
Model
Open source
Solves
Systematically analyzing and packaging evidence from multiple YouTube videos for research or intelligence work.

Registered as

GitHub
wva2ccyk-prog/youtube-intel-evidence-kit
PyPI
youtube-intel-evidence-kit

Developer

Wva2ccykprog
Small team
↗ GitHub

Open source

View on GitHub →
Stars
0
Forks
0
Open issues
0
Last commit
3 Aug 2026
Commits 90d
10
Contributors
2
Authorship
Small team
Default branch
main
Latest release
v0.1.0 · 3 Aug 2026

Live coverage

Identity confidence
Low · 64
Indexed
3 Aug 2026
Lifecycle
Alive
First seen
Aug 2026
Last seen
3 Aug 2026
Identity audit (13)
Slug
youtube-intel-evidence-kit-pypi-org
Lifecycle state recorded
3 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
3 Aug 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Name from
Written by a language model from the project's public pages.
Category from
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
3 Aug 2026
Canonical URL
https://pypi.org/project/youtube-intel-evidence-kit

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