ToolAssay

Google Trends interest by region for a keyword

Google Trends interest by region for a keyword. Returns the subregional breakdown of Google Trends search interest inside a country - by state, province, or region - each ranked 0-100 relative to the strongest region. For regional demand mapping, geo targeting, and finding where a keyword over-indexes before spending on it.

Answeringour last check, 2026-09-24
1 of 1checks answered this week
168 msmedian answer time
$0.03listed price per call
$0.03price it asked us

Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.

Endpoint

GET https://api.kadec0.xyz/v1/interest-by-region

CategorySearch and research
Provider hostapi.kadec0.xyz
Networkseip155:8453
Payment schemesexact
Self-reported calls, 30 days10 from 2 payers (the provider's figure, not ours)

Our checks, last 30 days

DayResultHTTPAskedTime
2026-09-24 valid payment request 402$0.03 168 ms

Example input (from the provider)

{
  "method": "GET",
  "queryParams": {
    "geo": "US",
    "keyword": "bitcoin"
  },
  "type": "http"
}

Promised output schema (from the provider)

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "input": {
      "additionalProperties": false,
      "properties": {
        "method": {
          "enum": [
            "GET",
            "HEAD",
            "DELETE"
          ],
          "type": "string"
        },
        "queryParams": {
          "properties": {
            "geo": {
              "description": "ISO-3166 alpha-2 country code, e.g. US, GB, DE, JP (213 countries supported)",
              "type": "string"
            },
            "keyword": {
              "description": "the search term",
              "type": "string"
            },
            "timeframe": {
              "default": "past_12_months",
              "description": "time window. Each response reports its own bucket size in `granularity`: past_30_days and past_90_days return a daily series, past_12_months and past_5_years weekly, windows under a day hourly",
              "enum": [
                "2004_present",
                "past_12_months",
                "past_30_days",
                "past_4_hours",
                "past_5_years",
                "past_7_days",
                "past_90_days",
                "past_day",
                "past_hour"
              ],
              "type": "string"
            }
          },
          "required": [
            "keyword",
            "geo"
          ],
          "type": "object"
        },
        "type": {
          "const": "http",
          "type": "string"
        }
      },
      "required": [
        "type",
        "method"
      ],
      "type": "object"
    },
    "output": {
      "properties": {
        "example": {
          "type": "object"
        },
        "type": {
          "type": "string"
        }
      },
      "required": [
        "type"
      ],
      "type": "object"
    }
  },
  "required": [
    "input"
  ],
  "type": "object"
}

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