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Vajra

Analyze URLs, YouTube videos, tweets, or text for quality, bias, and reliability using the Vajra API

Rating
4.3 (451 reviews)
Downloads
2,251 downloads
Version
1.0.0

Overview

Analyze URLs, YouTube videos, tweets, or text for quality, bias, and reliability using the Vajra API (vajra.to).

Complete Documentation

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Vajra - Signal Filter for the Internet

Vajra is a content-analysis API by Humanity Labs. It scores content for epistemic quality (1-10), detects bias, extracts key takeaways, flags questionable claims, and produces structured verdicts.

Privacy and Data Handling

Important: This skill sends content to the Vajra API at https://www.vajra.to. Before using it:

  • Content you submit (URLs, text) is transmitted to Vajra's servers for analysis.
  • Analyzed content is cached server-side. If another user submits the same URL, they receive the cached result (0 credits). The original text you submit is not stored -- only the analysis output.
  • Every analysis generates a public permalink (e.g. vajra.to/a/ID). These are shareable and publicly accessible.
  • Do not submit private, proprietary, or personally identifiable content unless you understand and accept this behavior.
  • Vajra's privacy policy and terms are available at vajra.to.

Setup

An API key is required. Get one free at vajra.to/dashboard (Connections tab).

The key must be stored as the environment variable VAJRA_API_KEY. The agent will be prompted to set this during installation.

Analyze Content

bash
curl -s -X POST https://www.vajra.to/api/analyze \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $VAJRA_API_KEY" \
  -d '{"content": "URL_OR_TEXT", "type": "url"}'

Set type to "text" for raw text (max 50,000 chars). Default is "url".

Supported content: articles, YouTube videos, X/Twitter posts, and raw text.

Parse the Response

The response JSON contains:

text
success        - boolean
cached         - boolean (0 credits if true)
credits_used   - 0 or 1
url            - permalink to full report (e.g. https://www.vajra.to/a/UUID)
analysis.title - content title
analysis.quality_score - 1-10 rating
analysis.bias_level    - bias assessment
analysis.markdown      - full report in markdown
analysis.metadata.tldr - one-sentence summary
analysis.metadata.verdict      - reliability assessment
analysis.metadata.key_takeaways - array of takeaways
analysis.metadata.warnings      - array of warnings

Present Results

When showing results to the user, format as:

text
**Title** - Quality: X/10
TLDR: [tldr]
Verdict: [verdict]
Key takeaways: [list]
Warnings: [list if any]
Full report: [permalink url]

Retrieve Existing Analysis

Fetch a previously completed analysis by ID (no auth needed, public endpoint):

bash
curl -s https://www.vajra.to/api/analysis/ANALYSIS_ID

Credits and Pricing

  • Cached results cost 0 credits (same URL already analyzed by any user)
  • Free tier: 5 analyses/month
  • Pro: 100 analyses/month ($12/mo or $79/yr)
  • Analyses take 10-60 seconds depending on content length

Installation

Terminal bash

openclaw install vajra
    
Copied!

💻Code Examples

-d '{"content": "URL_OR_TEXT", "type": "url"}'

--d-content-urlortext-type-url.txt
Set `type` to `"text"` for raw text (max 50,000 chars). Default is `"url"`.

Supported content: articles, YouTube videos, X/Twitter posts, and raw text.

## Parse the Response

The response JSON contains:

analysis.metadata.warnings - array of warnings

analysismetadatawarnings---array-of-warnings.txt
## Present Results

When showing results to the user, format as:

Full report: [permalink url]

full-report-permalink-url.txt
## Retrieve Existing Analysis

Fetch a previously completed analysis by ID (no auth needed, public endpoint):
example.sh
curl -s -X POST https://www.vajra.to/api/analyze \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $VAJRA_API_KEY" \
  -d '{"content": "URL_OR_TEXT", "type": "url"}'
example.txt
success        - boolean
cached         - boolean (0 credits if true)
credits_used   - 0 or 1
url            - permalink to full report (e.g. https://www.vajra.to/a/UUID)
analysis.title - content title
analysis.quality_score - 1-10 rating
analysis.bias_level    - bias assessment
analysis.markdown      - full report in markdown
analysis.metadata.tldr - one-sentence summary
analysis.metadata.verdict      - reliability assessment
analysis.metadata.key_takeaways - array of takeaways
analysis.metadata.warnings      - array of warnings
example.txt
**Title** - Quality: X/10
TLDR: [tldr]
Verdict: [verdict]
Key takeaways: [list]
Warnings: [list if any]
Full report: [permalink url]

Tags

#web_and-frontend-development #api

Quick Info

Category Development
Model Claude 3.5
Complexity One-Click
Author minhyeong112
Last Updated 3/10/2026
🚀
Optimized for
Claude 3.5
🧠

Ready to Install?

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openclaw install vajra