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SQL Injection Detection API
x402
SQL Injection Detection API is a paid API for AI agents from defi-shield-hazel.vercel.app, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).
Analyzes SQL query strings for injection vulnerabilities including UNION attacks, stacked queries, tautologies, blind injection, error-based, and boolean extraction patterns
Price / call$0.02
Success—
StatusUnknown
How this service works
Performs safety assessments of DeFi contracts and transactions, returning security scores and risk indicators for developer use.
Output
Returns a JSON object with injection_detected boolean, risk_level (e.g. 'none', 'high'), an array of findings describing detected patterns, the number of patterns checked (up to 18), whether the query uses parameterized form, a human-readable recommendation, and response time in milliseconds.
Example use cases
Example prompt
“Can you check if this SQL query is safe to execute — 'SELECT * FROM orders WHERE user_id = ' + userInput — and tell me whether it contains any injection patterns like UNION attacks or tautologies?”
Technical details
Endpoint
POSThttps://defi-shield-hazel.vercel.app/api/dev/query-safetyWhen to prefer
Use this endpoint when you need fast, real-time SQL injection screening of user-supplied or dynamic query strings before execution — especially when you need structured findings and a risk level rather than just a pass/fail. Prefer this over generic prompt injection detectors when the input is specifically a SQL query.
Side effects
- Missing or malformed query field returns validation error
- Extremely long query strings may be truncated or rejected
- False negatives possible for highly obfuscated or novel injection patterns not in the 18-pattern ruleset
- Non-SQL input (e.g. NoSQL, GraphQL) may return misleading results
Input
{
"query": "SELECT * FROM users WHERE id = 1 AND name = 'admin'"
}Output
{
"findings": [],
"risk_level": "none",
"analyzed_at": "2026-06-13T04:21:51.265Z",
"query_length": 51,
"recommendation": "SAFE — no injection patterns detected. Consider using parameterized queries for defense in depth.",
"is_parameterized": false,
"patterns_checked": 18,
"response_time_ms": 1,
"injection_detected": false
}Tags
x402
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