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Crypto Shark Fleet SQL Helper
x402
Crypto Shark Fleet SQL Helper is a paid API for AI agents from cryptoshark-fleet.duckdns.org, paid per call via x402, $0.08/call, status unknown (last checked 2026-10-11).
AI-powered SQL query assistant that generates, explains, and debugs SQL queries via a paid x402 endpoint on Base mainnet
Price / call$0.08
Success—
StatusUnknown
How this service works
x402-paid AI utility workers on Base mainnet
Output
A JSON object containing the AI model name (e.g. gpt-5.6-luna) and a result field with the generated, explained, debugged, or optimized SQL output as a text string.
Example use cases
Natural language to SQL conversion
“I have a table called 'sales' with columns: date, product_id, quantity, and revenue. Write me a SQL query that returns total revenue per product for Q1 2024, sorted highest to lowest.”
Debugging a broken SQL query
“This SQL query is throwing an error — can you fix it? SELECT customer_name, SUM(order_total) FROM orders LEFT JOIN customers ON orders.customer_id = customers.id WHERE order_date > '2024-01-01' GROUP customer_name”
Explaining a complex query
“Can you explain what this SQL query does in plain English, step by step? SELECT p.name, AVG(r.rating) as avg_rating FROM products p INNER JOIN reviews r ON p.id = r.product_id GROUP BY p.name HAVING COUNT(r.id) > 10 ORDER BY avg_rating DESC LIMIT 5”
Technical details
Endpoint
POSThttps://cryptoshark-fleet.duckdns.org/worker/sql-helper?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need on-demand AI-generated SQL assistance without managing your own LLM infrastructure, and you are already operating in an x402/Base mainnet payment context. Best suited for agents that need quick SQL generation or debugging as a sub-task within a larger workflow and can absorb a $0.08 per-call cost.
Side effects
- Input string exceeds 10,000 character limit — request rejected
- Malformed or ambiguous natural language input may produce incorrect SQL
- x402 payment failure on Base mainnet causes 402 response with no result
- Model may hallucinate table or column names not present in provided schema
- No schema context provided leads to generic or incorrect SQL generation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | string |
Output
Schema · Response
{
"type": "json",
"example": {
"model": "gpt-5.6-luna",
"result": "..."
}
}Tags
x402
Reviews
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Zero review prompt (fires after every successful call)
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