Website RAG Readiness Audit Report
Pricing
Pay per event
Website RAG Readiness Audit Report
Turn public website URLs into a decision-ready RAG readiness audit with coverage, chunking risk, retrieval cleanup actions, source URLs, and no user API key requirement.
Pricing
Pay per event
Rating
0.0
(0)
Developer
naoki anzai
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
20 days ago
Last modified
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Works best after
Website RAG Readiness Audit Report is easiest to buy after one of these related Actors has already produced public rows or source context:
- Website Content Extractor - use its public rows or source context as the starting input.
- Article Content Extractor - use its public rows or source context as the starting input.
- Structured Data Validator - use its public rows or source context as the starting input.
- Bulk Url Health Checker - use its public rows or source context as the starting input.
- Broken Link Checker - use its public rows or source context as the starting input.
- Youtube Channel Transcript Rag Intelligence - use its public rows or source context as the starting input.
Start with $9 / website_rag_snapshot_report; upgrade to $29 / website_rag_readiness_report only when the first report needs deeper action detail.
Internal links improve discovery only. Qualified forecast still requires accounted paid usage.
Proof-focused buyer summary
Built for AI builders, documentation teams, support teams, and technical marketers who need to decide whether public website pages are clean and complete enough for RAG ingestion.
- Buy this when: Avoids embedding public website content that is too thin, noisy, or poorly structured for retrieval.
- Entry: $9 /
website_rag_snapshot_report- $9 checks public pages for volume, structure, noise, and basic RAG risk. - Premium: $29 /
website_rag_readiness_report- $29 adds chunking risk, retrieval QA actions, coverage gaps, and cleanup priorities. - Output promise: decision summary, score, three prioritized actions, source URLs, warnings,
chargedEvent,chargedUsd, andpreviewReport.nextRunInput. - Safety: keep
maxChargeUsdequal to the tier price. Demo, dry run, blocked/private sources, failed sources, and cap-limited runs are no-charge. - Not promised: rankings, revenue, conversion lift, sales lift, legal/procurement/financial advice, or private-source enrichment.
Entry first-run input:
{"demoMode": false,"dryRun": false,"reportTier": "snapshot","maxChargeUsd": 9,"maxReports": 1,"maxPages": 2,"urls": ["https://docs.apify.com/platform/actors"],"seedQuestions": ["Can this documentation answer onboarding and troubleshooting questions?","What content cleanup is needed before embedding?"]}
Premium upgrade input:
{"demoMode": false,"dryRun": false,"reportTier": "readiness","maxChargeUsd": 29,"maxReports": 1,"maxPages": 3,"urls": ["https://docs.apify.com/platform/actors","https://docs.apify.com/platform/storage/dataset"],"seedQuestions": ["Can this documentation answer onboarding and troubleshooting questions?","What content cleanup is needed before embedding?"]}
What It Does
Website RAG Readiness Audit Report fetches public pages you provide, extracts visible text signals, and returns a decision-ready report for whether the pages are suitable for retrieval-augmented generation workflows.
It focuses on:
- content volume and thin-page risk
- navigation boilerplate and chunking risk
- source URL coverage and blocked pages
- missing answer coverage for your seed questions
- prioritized cleanup actions before embedding
Pricing Events
website_rag_snapshot_report- $9website_rag_readiness_report- $29 Use the listed report tiers for public runs; recurring watch workflows should be created as Apify tasks from a successful paid input.
demoMode, dryRun, invalid URLs, blocked/private pages, no-content pages, source failures, and cap-limited groups are no-charge.
Source Rules
Allowed: public website URLs, public docs, help pages, blogs, product pages, pricing pages, sitemaps in a future version.
Blocked: login-only pages, private dashboards, paywalls, checkout/account portals, CAPTCHA/rate-limit bypass, personal data extraction, and unsupported business outcome claims.
Output
Each dataset row includes status, chargedEvent, chargedUsd, reason, decisionSummary, score, prioritizedActions, sourceUrls, warnings, and errors.