ProRataInc: Robots.txt & Crawl Policy Reference

AI Summary: ProRataInc is a web crawler operated by ProRata.ai, a company focused on building attribution solutions for AI search and generative AI models. It indexes content to ensure creators are credited and compensated when their work is used by AI.

Role and policy boundary

Unlike crawlers that scrape data solely for uncredited model training, ProRataInc crawls to build an index that supports content attribution and revenue sharing for publishers. Blocking this bot means your content will not be included in ProRata's attribution network.

A robots rule is a declaration of intent; it does not replace authentication, authorization, or rate limiting. Start with a dedicated group:

User-agent: proratainc
Allow: /
Disallow: /staging/
Disallow: /internal/

To stop access for the entire site, use:

User-agent: proratainc
Disallow: /

Avoid assuming that User-agent: * expresses the same business intent. A wildcard can affect assistant and training crawlers too, and it makes later audits harder because the source of the decision is less specific.

Layered verification

Verify the same URL through each control plane instead of assuming that one green signal represents the whole request path. Compare the bot-specific robots group, the page-level metadata, and the response headers captured at the public edge.

The ProRataInc crawler respects robots.txt. Site owners must decide whether to allow it based on their stance on AI attribution networks. If you participate in or support ProRata's model, you should ensure this bot is allowed.

The Policy Engine evaluates the selected user-agent, path scope, and the other supplied layers independently. It can therefore explain why a bot is allowed while another is blocked, rather than returning one blended website score.

Page-level directives can still override the intended outcome for indexing:

<meta name="robots" content="noindex, nofollow">

X-Robots-Tag: noindex, nofollow

If a response uses these tags, the report marks the result as blocked or conflicting even if the crawler-specific robots group is permissive. This is especially important for canonical pages served through an edge cache where headers may differ from the origin response.

WAF and Nginx remediation examples

If you choose to block ProRataInc, you can do so via a WAF rule, similar to other AI crawlers:

{
  "description": "Block ProRataInc Crawler",
  "expression": "lower(http.user_agent) contains \"proratainc\"",
  "action": "block"
}

Use your platform's actual middleware response pattern rather than copying this simplified example without review. Never place a secret, verification token, or internal policy identifier in a public response header.

map $http_user_agent $block_proratainc_private {
    default 0;
    ~*proratainc 1;
}

server {
    location ~ ^/(admin|account|private|licensed|internal|api)/ {
        if ($block_proratainc_private) { return 403; }
        try_files $uri $uri/ =404;
    }
}

Review checklist

Use this checklist after every policy change and after a CDN or WAF migration. Record the request URL, User-Agent, HTTP status, final redirect, and the exact evidence used to reach the decision.

Verify that the dedicated group appears before relying on a wildcard, test a representative public and private path, and compare live response headers with robots.txt. Keep the policy close to the content owner's intent and record whether the site wants discovery, citation, or no access at all.

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