HubVibe BigQuery SQL Query Executor

x402

HubVibe BigQuery SQL Query Executor is a paid API for AI agents from hubvibe-io.com, paid per call via x402, $0.5/call, status unknown (last checked 2026-10-02).

Executes a read-only BigQuery SQL SELECT query (including against Google public datasets) with a cost-bounding dry-run gate, returning results as JSON rows.

Price / call$0.5

Seller volume →—

Success—

StatusUnknown

How this service works

BigQuery SQL: run a read-only SQL query, including against Google's public datasets (Wikipedia, GitHub, blockchains, weather, census and more), and get columns and rows back as JSON with the bytes processed. Every query is dry-run first and refused above the scan ceiling, so cost is bounded before it runs. Input: sql; optional max_scan_gib. Ask in plain English instead: data.question.

Output

A JSON array of rows returned by the SQL query. Each row reflects the columns selected in the query. The response is bounded by the scan ceiling enforced via a dry-run preflight check — if the query would exceed the byte limit, it is refused before execution.

Example use cases

Explore public Wikipedia traffic data

“Query the BigQuery public dataset for Wikipedia pageviews and give me the top 20 most-viewed articles from last month — write me a SQL SELECT for it and keep the scan under 2 GiB.”

Analyze GitHub commit activity

“I want to know which GitHub repositories had the most commits in 2023 using the BigQuery public GitHub dataset — run a read-only SQL query and return the top 10 repos with their commit counts.”

Ad-hoc business data lookup

“Run this SQL against our internal BigQuery table `my-project.sales.transactions`: SELECT region, SUM(revenue) as total FROM sales.transactions WHERE date >= '2024-01-01' GROUP BY region — cap the scan at 5 GiB and give me the results as JSON.”

Technical details

Endpoint

POSThttps://hubvibe-io.com/work/data/query?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to run an ad-hoc or programmatic read-only SQL query against BigQuery — especially against Google's public datasets — and want automatic cost-bounding via a dry-run gate before any bytes are scanned. Prefer it over direct BigQuery API calls when you want a simple HTTP interface that returns JSON rows without managing GCP credentials yourself.

Side effects

Query exceeds max_scan_gib ceiling — refused before execution with a cost-limit error
SQL syntax errors or invalid table references return a query parse/execution error
Non-SELECT or mutating SQL (INSERT, UPDATE, DELETE) is rejected as not read-only
Table or dataset does not exist or requester lacks access — permission denied error
Network timeout if result set is extremely large
Missing required `sql` field returns a validation error

Input

Schema · Request body

Field	Type	Description
sql	string
language	string
max_scan_gib	number

Output

Schema · Response

{
  "type": "json",
  "example": {
    "result": {
      "sql": "SELECT name, SUM(number) AS n FROM `bigquery-public-data.usa_names.usa_1910_2013` GROUP BY name ORDER BY n DESC LIMIT 5",
      "rows": [
        {
          "n": 4942431,
          "name": "James"
        }
      ],
      "columns": [
        "name",
        "n"
      ],
      "cache_hit": false,
      "row_count": 5,
      "truncated": false,
      "total_rows": 5,
      "gib_processed": 0.012
    },
    "status": "ok",
    "worker": "data.query",
    "price_usd": 0.5,
    "provenance": {
      "steps": [
        {
          "ms": 312,
          "ok": true,
          "step": "quote",
          "reason": "provider_timeout",
          "provider": "coinbase-advanced-trade-public"
        }
      ],
      "attempts": 1,
      "elapsed_ms": 340,
      "providers_used": [
        "coinbase-advanced-trade-public"
      ]
    },
    "receipt_id": "rcpt_9f1c2b3a4d5e6f70",
    "attribution": [
      {
        "url": "https://translate.google.com",
        "text": "Translated by Google"
      }
    ],
    "receipt_url": "/work/receipts/rcpt_9f1c2b3a4d5e6f70"
  }
}

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