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Amazon product search volume and best-seller trends. Free key at trendsapi.ai
About
Amazon product search volume and best-seller trends. Free key at trendsapi.ai
Remote endpoints: streamable-http: https://amazon.api.trendsapi.ai/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
Endpoint verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"ai-trendsapi-amazon": {
"url": "https://amazon.api.trendsapi.ai/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Amazon Trends API - product search demand & best sellers as JSON
Amazon trend data as clean JSON: product search volume time series, demand growth rates and live best-seller feeds from one REST endpoint. No Amazon API key, no scraping, no blocks.
One endpoint. One API key. One normalized 0-100 trend score you can compare against 14 other platforms.
Docs: https://trendsapi.ai/#quickstart · llms.txt: https://trendsapi.ai/llms.txt · Free API key (100 req/mo): https://trendsapi.ai/#get-key
What a call looks like
curl -X POST https://api.trendsapi.ai/api \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"mode": "get_growth", "source": "amazon", "keyword": "creatine gummies", "percent_growth": ["3M", "12M"]}'
{
"keyword": "creatine gummies",
"source": "amazon",
"growth": { "3M": 41.8, "12M": 212.4 },
"timestamp": "2026-08-03T12:00:00Z"
}
Quickstart (60 seconds)
1. Get a free API key at https://trendsapi.ai/#get-key - 100 requests/month, no credit card.
2. Make your first call:
curl -X POST https://api.trendsapi.ai/api \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"mode": "get_time_series", "source": "amazon", "keyword": "creatine gummies"}'
Python:
import requests
res = requests.post(
"https://api.trendsapi.ai/api",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={"mode": "get_growth", "source": "amazon", "keyword": "creatine gummies",
"percent_growth": ["3M", "12M"]},
)
print(res.json())
Node.js:
const res = await fetch("https://api.trendsapi.ai/api", {
method: "POST",
headers: {
Authorization: "Bearer YOUR_API_KEY",
"Content-Type": "application/json",
},
body: JSON.stringify({ mode: "get_growth", source: "amazon", keyword: "creatine gummies",
percent_growth: ["3M", "12M"] }),
});
console.log(await res.json());
The three modes
| Mode | What it returns | Needs a keyword? |
|---|---|---|
get_time_series | Historical product search volume as a normalized 0-100 series | yes |
get_growth | Growth % over 3M / 6M / 12M / 5Y windows | yes |
get_top_trends | Live trending feeds (21 of them) | no |
Why teams switch
| Amazon PA-API / scraping | Trends API | |
|---|---|---|
| Amazon API access | PA-API approval + sales threshold | not needed |
| Search demand history | not exposed | weekly + daily series |
| Best-seller feeds | scrape or manual | one call, JSON |
| Cross-platform demand check | no | same scale as Google, TikTok, YouTube |
| Free tier | n/a | 100 requests/month |
Use cases
- Product research: validate demand for a product idea before sourcing inventory
- FBA sellers: spot rising product searches weeks before competition piles in
- Agencies: back category recommendations with demand curves, not vibes
- DTC brands: watch whether Amazon demand for your category is growing or shrinking
Use it from your AI assistant (MCP)
The same API key powers the Trends API MCP server, so Claude, Cursor, VS Code, ChatGPT and any MCP-compatible client can query this data in natural language.
Cursor / Windsurf / Cline (~/.cursor/mcp.json or equivalent):
{
"mcpServers": {
"trendsapi": {
"url": "https://api.trendsapi.ai/mcp",
"transport": "http",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}
VS Code / GitHub Copilot (.vscode/mcp.json):
{
"servers": {
"trendsapi": {
"type": "http",
"url": "https://api.trendsapi.ai/mcp",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"trendsapi": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://api.trendsapi.ai/mcp", "--header", "Authorization:${AUTH_HEADER}"],
"env": { "AUTH_HEADER": "Bearer YOUR_API_KEY" }
}
}
}
Claude.ai (browser): Settings -> Connectors -> Add custom connector -> https://api.trendsapi.ai/mcp
Then ask things like:
How did "creatine gummies" grow on TikTok vs Google over the last 12 months?
What is trending on YouTube right now?
Every source on the same key
| Source | source value | What it measures |
|---|---|---|
| Google Search | google search | Search volume |
| Google Images | google images | Image search volume |
| Google News | google news | News search volume |
| Google Shopping | google shopping | Shopping search volume |
| YouTube | youtube | Search volume |
| TikTok | tiktok | Hashtag volume |
reddit | Subreddit subscribers | |
| Amazon | amazon | Product search volume |
| Wikipedia | wikipedia | Page views |
| News volume | news volume | Article mention volume |
| News sentiment | news sentiment | Positive / negative score |
| App downloads | app downloads | Android downloads (AppBrain) |
| App rankings | app rankings | Android chart position |
| npm | npm | Weekly package downloads |
| Steam | steam | Concurrent players (monthly) |
Live feeds (get_top_trends, no keyword needed)
| Feed | type value |
|---|---|
| Google Trends | Google Trends |
| Google News Top News | Google News Top News |
| TikTok Trending Hashtags | TikTok Trending Hashtags |
| TikTok Trending Searches | TikTok Trending Searches |
| TikTok Shop Hot Products | TikTok Shop Hot Products |
| YouTube Trending | YouTube Trending |
| X (Twitter) Trending | X (Twitter) Trending |
| Reddit Hot Posts | Reddit Hot Posts |
| Reddit World News | Reddit World News |
| Wikipedia Trending | Wikipedia Trending |
| Amazon Best Sellers Top Rated | Amazon Best Sellers Top Rated |
| Amazon Best Sellers by Category | Amazon Best Sellers by Category |
| App Store Top Free | App Store Top Free |
| App Store Top Paid | App Store Top Paid |
| Google Play | Google Play |
| Top Websites | Top Websites |
| Spotify Top Podcasts | Spotify Top Podcasts |
| Steam Most Played | Steam Most Played |
| GitHub Trending Repos | GitHub Trending Repos |
| IMDb MOVIEmeter | IMDb MOVIEmeter |
| Open Library Trending Books | Open Library Trending Books |
FAQ
What Amazon data does Trends API provide?
Product search volume over time (normalized 0-100), growth over 3M/6M/12M/5Y windows, and two live feeds: Amazon Best Sellers Top Rated and Best Sellers by Category.
Do I need an Amazon seller or PA-API account?
No. There is no Amazon-side credential at all. One Trends API key covers Amazon and every other source.
How is this different from Keepa or Helium 10?
Those tools track listing-level price and rank history. Trends API tracks the demand side - how often people search for a product or category - normalized so you can compare it against Google, TikTok and YouTube demand in the same units.
Can I compare a product's Amazon demand with its TikTok buzz?
Yes. Query the same keyword on amazon and tiktok and compare normalized scores or growth percentages directly. TikTok typically leads Amazon by several weeks.
How far back does the history go?
Up to 5 years of weekly data on paid plans; 90 days on the free tier.
Links
- Docs & quickstart: https://trendsapi.ai/#quickstart
- llms.txt (machine-readable API reference): https://trendsapi.ai/llms.txt
- Pricing (free tier: 100 requests/month): https://trendsapi.ai/#pricing
- Get an API key: https://trendsapi.ai/#get-key
License
MIT - see LICENSE. Data is served by Trends API; usage of the API itself is subject to the plan limits on your key.
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