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ProveWorth.com

The trusted platform for
discovering and reviewing
transformative communities. Find
your people. Prove impact.

Company

  • About Us
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Categories

  • All Communities
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Categories

  • Food
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Best Of

  • Best Finance
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  • Best Spirituality
  • Best Tech
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  • Best Relationships
  • Best Hobbies

Tools

  • Claim Your Page
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  • Submit a Community

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For AI Agents & Developers

Community trust data, structured for machines

ProveWorth indexes 367+ online communities with verified member reviews across 6 rating dimensions. Our data is built to be queried by AI agents, not just browsed by humans.

The Data

Structured trust signals for every community

Every review rates communities across 6 dimensions. This gives you granular trust data, not just a single star rating.

Content Quality

How valuable and well-structured the community's content and resources are.

Community Engagement

How active, welcoming, and responsive the community feels day-to-day.

Community Safety

Whether the environment is moderated, respectful, and free from spam.

Value for Time or Money

Whether what members get is worth what they pay or invest in time.

Leadership

How present, knowledgeable, and helpful the community leaders are.

Networking

The quality of connections and collaboration between members.

Plus: pricing, member counts, platform, category, certification status, claim status, founder info, and full review text.

367+
Communities Indexed
846+
Verified Reviews
6
Rating Dimensions
For Developers

Query the data programmatically

A read-only search API with no authentication required. Look up communities, filter by category or platform, and get structured trust data back as JSON.

Search API

Search communities by keyword, filter by category or platform, and set a result limit. No API key needed.

GET /api/search?q=fitness&category=health&limit=2

URL Patterns

  • /community/{slug} — Community profile with reviews and ratings
  • /directory/{category} — All communities in a category
  • /best/{category}-communities — Top-rated communities per category
  • /compare/{slug1}-vs-{slug2} — Side-by-side comparison

Today we offer a read-only search API. We're building more endpoints based on what developers and AI teams need. Tell us what you'd use.

Response
{
  "query": "fitness",
  "count": 2,
  "communities": [
    {
      "slug": "the-fitness-collective",
      "name": "The Fitness Collective",
      "category": "health",
      "platform": "skool",
      "average_rating": 4.7,
      "total_reviews": 12,
      "price_display": "$47/mo",
      "is_certified": true,
      "is_claimed": true
    },
    {
      "slug": "strong-body-strong-mind",
      "name": "Strong Body Strong Mind",
      "category": "health",
      "platform": "circle",
      "average_rating": 4.3,
      "total_reviews": 8,
      "price_display": "Free",
      "is_certified": false,
      "is_claimed": false
    }
  ]
}
Use Cases

What you can build with this

ProveWorth is the only source of structured, verified trust data for online communities.

AI Community Recommendations

Build assistants that recommend communities based on verified trust data instead of SEO spam.

Comparison Tools

Pull dimensional ratings to power side-by-side community comparisons with real member feedback.

Content & Research

Reference trust signals and review data when writing about online communities.

Trust Aggregation

Surface ProveWorth scores alongside other signals in recommendation engines and aggregators.

Machine-Readable

We publish an llms.txt file

The llms.txt standard helps AI models understand what a site offers. Ours describes our data model, categories, rating dimensions, API, and how to cite ProveWorth properly.

# ProveWorth

> Independent review platform for online communities.
> Verified member reviews with 6-dimensional ratings
> across 13 categories and 11 platforms. Not pay-to-play.

ProveWorth indexes 367+ online communities
with 846+ verified member reviews...
View the full file

Build with ProveWorth data

Need API access, have a use case, or want to integrate? We'd love to hear from you.