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Trend data from Google, TikTok, Amazon, Reddit, YouTube, Steam, npm and more as JSON

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-03-26
URL
Server Listing
trend-feeds
ChatGPT
–
Claude
–

TDQS

A4.5/5.0

Scored across 6 tools

Disambiguation5/5

Each tool targets a distinct question type: qualitative context, point-to-point growth, full historical series, live ranking boards, customer reviews, and account usage. Descriptions explicitly cross-reference each other (e.g. 'get_growth answers most growth questions with less data', 'get_context covers social posts') to route the agent away from near-misses.

Naming Consistency5/5

All six tools use the identical get_<noun> pattern under a uniform trends___ namespace prefix: get_context, get_growth, get_reviews, get_time_series, get_top_trends, get_usage. No mixed casing or verb styles.

Tool Count5/5

Six tools is well-scoped for a trends data API — one per query modality plus a usage/quota check. No redundant or filler tools; each earns its place.

Completeness4/5

The surface covers the full lifecycle of trend questions: discovery (top_trends), explanation (context), measurement (growth, time_series), sentiment (reviews), and quota introspection (usage). The main gap is the absence of a metadata tool listing valid source names, board names, and categories, which the descriptions only partially enumerate and which could cause invalid-parameter failures.

Available Tools

6 tools

Tool Schema Changelog

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