Full metrics for known keywords
keyword_overview is a $0.20 GET request on the Wuthering AI API. Get every available metric, including trend, for keywords you already have. It answers complete JSON, and a call that fails is not charged.
Endpoint
GET /v1/keyword_overview
Price per successful call
$0.20
Failed calls
Not charged
curl 'https://wutheringai.com/v1/keyword_overview?keywords=…&token=YOUR_TOKEN'
What does keyword_overview return, and when should you call it?
Return the complete metric set for up to 700 known keywords, including the monthly and yearly search-volume trend.
Richer per keyword than wuthering_keyword_volume, and correspondingly more expensive. It does NOT discover new terms.
Returns: keyword, search_volume, cpc, competition, keyword_difficulty, search_intent, and search_volume_trend with monthly and yearly change.
Use when a short, important list deserves the full picture including direction of travel. Don't use to price a thousand terms; wuthering_keyword_volume prices them for one billed call apiece.
What parameters does keyword_overview take?
keyword_overview accepts 3 parameters, of which 1 is required. Array values are comma-separated on the query string.
| Parameter | Type | Required | Description |
|---|---|---|---|
| keywords | array | yes | Keywords to look up, up to 700 in one call. This is one billed call regardless of how many you send, so batch aggressively rather than looping. A batch whose rows exceed what one response can carry comes back trimmed, stating how many rows it held and how many it returned; terms missing from a trimmed response were withheld, not measured as having no data. |
| location_code | number | no | Numeric location code to scope results to. Defaults to 2840 (United States). Search volume and competition vary sharply by country, so set this when the question is about a specific market.Defaults to 2840 |
| language_code | string | no | ISO language code for results, for example 'en' or 'de'. Defaults to 'en'.Defaults to en |
Reference for keyword_overview · last updated · published by Wuthering AI