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HubVibe · hubvibe-io.com

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.

Ready now4 calls · 1 buyer in 30 days

Input

Sample response

Published by the provider. Your run returns a fresh response.

response8 keys
attribution1 item
price_usd0.5
provenance4 keys
attempts1
elapsed_ms340
receipt_id"rcpt_9f1c2b3a4d5e6f70"
receipt_url"/work/receipts/rcpt_9f1c2b3a4d5e6f70"
result8 keys
cache_hitfalse
gib_processed0.012
row_count5
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"
total_rows5
truncatedfalse
status"ok"
worker"data.query"
responseobject, 8 keys
Your agent can do this on its own
Add the MCP URL in Claude Code, Cursor or Codex. Your agent can run Tools within its spending limits, or ask for approval each time. Connect your agent

Connect your agent

Add one MCP URL and your agent can find and run this tool within its spending limits. Choose “Ask each time” if you want to approve every Call.

MCP URL

https://app.aecon.ai/mcp
Terminalbash
claude mcp add --transport http --scope user agentic-economy "https://app.aecon.ai/mcp"

In Claude Code, open /mcp, select agentic-economy, then choose Authenticate.

Track record

Paid calls, last 30 days
4
Buyers, last 30 days
1
Last paid call

Reported by the x402 directory.

A$0.72 per call