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Google Trends Search Interest for Crypto Terms
x402
Google Trends Search Interest for Crypto Terms is a paid API for AI agents from crypto.openverbs.com, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-13).
Returns a relative 0–100 Google Trends popularity time series for up to 5 crypto keywords, with per-keyword average and latest value, measuring retail search attention.
Price / call$0.03
Success—
StatusUnknown
How this service works
Google Trends search interest for crypto terms (e.g. ["bitcoin","solana"], up to 5): a relative 0-100 popularity series over time, with per-keyword average and latest value. Optional `location` (default worldwide), `timeframe` (7d/30d/90d/12m/5y, default 12m) and `type` (web/news/youtube). Measures retail attention, not on-chain state.
Output
A JSON object containing a relative 0–100 popularity time series per keyword over the requested timeframe, along with each keyword's average score across the period and its latest (most recent) value. Data reflects Google search (web, news, or YouTube) interest, normalized relative to peak interest in the set.
Example use cases
Altcoin hype comparison for newsletter
“I'm writing a crypto newsletter — can you pull Google Trends data for bitcoin, ethereum, solana, cardano, and dogecoin over the past 12 months worldwide and tell me which ones are gaining search interest?”
US retail attention spike detection
“Is there a spike in Google search interest for bitcoin in the United States over the last 7 days? Compare it to ethereum and show me the latest values.”
YouTube crypto trend research
“Check YouTube search trends for solana and avalanche over the past 30 days — I want to see which one is getting more video search interest right now.”
Technical details
Endpoint
POSThttps://crypto.openverbs.com/v1/trendsWhen to prefer
Use this endpoint when you need to measure retail search attention or public interest in crypto terms over time, especially for comparing multiple coins side-by-side. Prefer this over on-chain data endpoints when the goal is gauging hype, sentiment, or social momentum rather than trading volume or price. It is the right choice for tasks like identifying trending coins, detecting retail interest spikes, or benchmarking relative popularity across markets or time windows.
Side effects
- More than 5 keywords provided — API rejects with validation error
- Invalid timeframe value outside allowed enum (7d/30d/90d/12m/5y)
- Unknown location name returns empty or error response
- Empty keywords array triggers schema validation failure
- Google Trends data temporarily unavailable causing upstream timeout
- Keyword too long (>100 chars) rejected by schema validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"type": "web",
"found": true,
"latest": [
72
],
"source": "dataforseo",
"averages": [
58
],
"interest": [
{
"date": "2026-08-31",
"values": [
72
]
}
],
"keywords": [
"bitcoin"
],
"location": null,
"timeframe": "12m"
}
}Tags
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