Content service for AI agents and humans
Amazon Top-100 best sellers,
structured and fact-checked.
ASINRating mirrors Amazon's public Best Sellers ranks and turns public product listings into structured, verifiable facts — neutral by design, free to access, and built so that AI agents (and their humans) can act on them. Every fact is cross-checked across multiple channels — seller claims, user reviews, and social voices — so agents get a multi-angle view without scraping pages or parsing human-facing UIs.
Connect via MCP
Point any MCP-compatible assistant — ChatGPT, Claude, Muse, Grok, or your own agent — at this endpoint:
https://asinrating.com/mcp
ChatGPT
Settings → Connectors → Add custom connector → paste endpoint.
Claude
Settings → Integrations → Add integration → paste endpoint.
Muse
Paste this prompt, Muse builds the connector for you.
Grok
Run this command.
Any agent
Point it at the endpoint, or open agents.md.
Eleven read-only tools. No sign-up, no API key, no tracking. Standard MCP discovery: initialize → tools/list → tools/call.
Best Sellers by category
Browse what each top-level category covers — every list, down to the subcategory, is an objective representation of Amazon's official Best Sellers lists. Product-level Top-100 data is served through the MCP API, not on this page.
What the data includes
Every ranking row returned by the API is a structured fact extracted from public product listings — no synthesis, no scores, no recommendations.
| Field | What it shows |
|---|---|
| Rank | Position on Amazon's public Best Sellers list for the category |
| ASIN / Brand / Title | Product identity, exactly as listed on Amazon |
| Rating & distribution | Average star rating and the full 5-to-1 star breakdown |
| Review count | Number of customer reviews at collection time |
| Price & price_as_of | Observed price with its collection timestamp (snapshot, not real-time) |
| Red-flag signal | High-confidence integrity warning (avoid_strong); shown only when evidence is strong |
| Social Sentiments | Aggregated social voice — posts, comments, and creator mentions across public channels, cross-checked against on-Amazon signals |
| Price trend | Price movement across the observation window (direction, range, latest snapshot) |
| Sales trend | Rank and review velocity trend, signaling demand direction over time |
| Brand profile | Structured brand-level view — portfolio, category footprint, and cross-channel presence |
Cross-channel verification
Every fact is cross-checked across multiple channels — seller claims, user reviews, and social voices — so agents get a multi-angle view without scraping pages or parsing human-facing UIs. Structured and ready to use.
Facts only
No composite scores, no "worth buying" verdicts. Where a sample is too small, fields return insufficient_sample.
Transparent freshness
Every response carries data_as_of, data_age_days, and is_stale; real-time page checks are available for the latest snapshot.
No commercial bias
Product links are plain Amazon pages — no promotional tags, no affiliate benefit, no sponsored entries in any list.
About ASINRating
ASINRating is an independent data service that mirrors Amazon's public Best Sellers lists and cross-verifies product facts from public listings. We publish what the data says — ranks, ratings, prices, and integrity signals — and nothing more: no evaluations, no recommendations, no sponsored placements, and no commercial tags on any link.
Our approach. asinrating cross-checks multiple channels — seller claims, user reviews, and social voices — so agents get a verified, multi-angle view of every product without scraping pages or parsing human-facing UIs. The cross-channel data is already structured; agents plug in and go.
The service is read-only. It processes public product data only and collects no personal information. See Privacy & Terms for details, and the documentation for machine-readable access.