KiHustle SQL Sanitizer

x402

KiHustle SQL Sanitizer is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-12).

Sanitizes and processes a raw SQL string to prevent injection and malicious input before execution

Price / call$0.003

Seller volume →—

Success—

StatusUnknown

How this service works

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Output

Returns a JSON object with a 'result' field containing the processed/sanitized SQL output and a 'status' field indicating 'success' or failure of the sanitization operation.

Example use cases

Sanitize user-submitted search query

“A user just typed a search term into our app and it gets embedded in a SQL query — can you sanitize this before we run it? The raw SQL is: SELECT * FROM products WHERE name = '' DROP TABLE products; --”

Clean dynamic report SQL before execution

“We generate SQL dynamically from user filter inputs and I want to make sure it's safe before hitting the database. Please sanitize this query: SELECT * FROM orders WHERE customer_id = '42' AND status = 'open' OR 1=1”

Validate SQL in automated pipeline

“As part of our data pipeline, sanitize this SQL string so we know it's safe to pass to the query engine: INSERT INTO logs (event) VALUES ('user_login'); DROP TABLE logs; --”

Technical details

Endpoint

POSThttps://kihustle.tech/nexus/api/v1/sql-sanitizer?utm_source=zero.xyz

When to prefer

Use this endpoint when you need a lightweight, pay-per-call SQL sanitization step in an automated pipeline or agent workflow without setting up a full database security library. Best suited for simple to moderate SQL strings from user input fields that need injection prevention before execution.

Side effects

Malformed JSON input returns an error — the 'sql' field must be a valid string
Empty or missing 'sql' field may return an error or unexpected result
Extremely long SQL strings may hit processing limits
Ambiguous or complex nested queries may not be fully sanitized
Network or payment failures (x402) may prevent the request from completing

Input

Schema · Request body

Field	Type	Description
sql	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "result": "processed",
    "status": "success"
  }
}

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