ToolAssay

Google Trends related queries for a keyword

Google Trends related queries for a keyword. Returns the searches people run alongside a keyword in a given country: top queries scored 0-100 relative to each other, and rising queries with their percentage growth. Google Trends keyword expansion for SEO keyword research, content planning, and spotting breakout search demand early.

Answeringour last check, 2026-09-24
1 of 1checks answered this week
164 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/related-queries

CategorySearch and research
Provider hostapi.kadec0.xyz
Networkseip155:8453
Payment schemesexact
Self-reported calls, 30 days65 from 2 payers (the provider's figure, not ours)

Our checks, last 30 days

DayResultHTTPAskedTime
2026-09-24 valid payment request 402$0.03 164 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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