mcpField
N
npm Trends API

npm Trends API

Remote
trendsapi.aiDeveloper Tools0Updated 10w ago

About npm Trends API

npm Trends API provides normalized download-interest history and growth data for exact npm package names. It is for developers analyzing package adoption, with Python clients and an HTTP API.

Key features

  1. 01Normalized 0–100 time series
  2. 02Growth across preset or custom periods
  3. 03Top-trends retrieval
  4. 04Synchronous and asynchronous Python clients
  5. 05HTTP API access

Use cases

  1. 01Compare npm package interest over time
  2. 02Measure package growth across periods
  3. 03Prepare trend data for Pandas analysis

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://npm.api.trendsapi.ai/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://npm.api.trendsapi.ai/mcpAuth required

Tools

Details

From the project README

npm package-download trends API

npm download interest via the Trends API. Normalized 0-100 history and growth for exact package names.

License: MIT PyPI Python

Key: trendsapi.ai/#get-key. HTTP contract and every source: trendsapi-ai/trendsapi.

Authentication

pip install trendsapi-npm
export TRENDSAPI_KEY=your_key

Python 3.9+. Same key as the HTTP API.

from trendsapi_npm import TrendsAPI

client = TrendsAPI()                    # TRENDSAPI_KEY
# client = TrendsAPI(api_key="YOUR_KEY")

Keyword helpers default to source: "npm". Pass source= to hit any other platform with the same client. Official full client (every source, no preset): trendsapi.

Methods

MethodREST modeReturns
get_time_series(keyword, source=, data_mode=)get_time_serieslist[TrendsDataPoint]
get_growth(keyword, percent_growth=, source=, data_mode=)get_growthGetGrowthResponse
get_top_trends(type=, ...)get_top_trendsGetTopTrendsResponse

source is lowercase (npm). type is exact (Google Trends). Mixing them is a 400.

from trendsapi_npm import TrendsAPI

client = TrendsAPI()                    # TRENDSAPI_KEY
# client = TrendsAPI(api_key="YOUR_KEY")

series = client.get_time_series("vite")
print(series[-1].date, series[-1].value)

growth = client.get_growth("vite", percent_growth=["3M", "12M"])
print(growth.results[0].growth, growth.results[0].direction)

get_time_series

points = client.get_time_series("vite")

Each point:

FieldAlwaysMeaning
dateyesYYYY-MM-DD
valueyes0-100 index for this series
keywordyesEcho
volumenoAbsolute volume when available
source or datatypenoPipeline label

Python returns list[TrendsDataPoint]. Use .date and .value, not ["date"]. JS returns the same fields as object properties.

get_growth

g = client.get_growth("vite", percent_growth=["12M", "3M", "YTD"])
print(g.results[0].growth, g.results[0].direction)

percent_growth default: ["12M"]. Presets: 7D 14D 30D 1M 2M 3M 6M 9M 12M/1Y 18M 24M/2Y 36M/3Y 48M 60M/5Y MTD QTD YTD. Custom: {"name": "Launch", "recent": "2024-06-01", "baseline": "2024-01-01"}.

FieldMeaning
search_termKeyword
data_sourceSource
resultsOne object per window (period, growth, direction, dates, values)
metadataCounts / success flag

Several windows still count as one request. Python: growth.results[0].growth. JS: growth.results[0].growth.

Async

import asyncio
from trendsapi_npm import AsyncTrendsAPI

async def main():
    c = AsyncTrendsAPI()
    return await asyncio.gather(
        c.get_time_series("vite"),
        c.get_time_series("vite", source="google search"),
    )

asyncio.run(main())

Each 200 is one billed request.

Pandas

from dataclasses import asdict
import pandas as pd
from trendsapi_npm import TrendsAPI

df = pd.DataFrame(asdict(p) for p in TrendsAPI().get_time_series("vite"))
df["date"] = pd.to_datetime(df["date"])
print(df.set_index("date")["value"].resample("ME").mean().tail())

Call (curl)

FieldValue
EndpointPOST https://api.trendsapi.ai/api
AuthAuthorization: Bearer $TRENDSAPI_KEY
Historysource: npm with get_time_series or get_growth
KeywordExact package name, case-sensitive: vite, @tanstack/react-query
Live typen/a
curl -sS -X POST https://api.trendsapi.ai/api \
  -H "Authorization: Bearer $TRENDSAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"mode":"get_time_series","source":"npm","keyword":"vite"}'

Source notes

  • Do not URL-encode @ or / inside JSON.
  • One package per request.
  • For exact integer counts use api.npmjs.org/downloads.

Errors

HTTPClient
200Parsed payload. Python dataclasses / JS typed objects
400Raises. Fix source or type spelling
401Raises. Check TRENDSAPI_KEY
404Raises. No series for that keyword. Do not retry
429Raises. Quota
5xxClient retries, then raises

The HTTP body field is a JSON string. SDKs decode it. Raw curl must parse body a second time.

Site: https://trendsapi.ai/trends/npm-trends.

License

MIT. See LICENSE.

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