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PayAI SQL Batch Safety Preflight
x402
PayAI SQL Batch Safety Preflight is a paid API for AI agents from payai.agentstools.dev, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).
Runs safety and performance preflight checks on a batch of SQL queries, returning per-query pass/caution/block verdicts plus a rollup summary.
Price / call$0.1
Success—
StatusUnknown
How this service works
Batch safety and performance preflight for many database queries at once: a list of objects each with a name and query text. Returns a per-query pass, caution or block verdict plus a rollup with the worst verdict and counts. Query-safety indicators, not a guarantee.
Output
Returns a per-query verdict object (pass, caution, or block) for each named query submitted, along with a rollup object containing the worst overall verdict and counts for each verdict category. Results are safety indicators, not guarantees of query correctness or execution outcomes.
Example use cases
Pre-deployment query safety gate
“Before we deploy this release, can you batch-check all 12 SQL queries in our migration plan against the postgres dialect and flag any that would get a caution or block verdict?”
Developer self-service query audit
“I've got 8 queries my team wrote for the new reporting dashboard — can you run them through the SQL batch safety check using snowflake dialect and tell me if any of them are risky?”
CI pipeline SQL screening
“As part of our CI pipeline, can you screen this list of SQL queries for our mysql database and give me a rollup of how many pass, need caution, or are blocked, along with the per-query details?”
Technical details
Endpoint
POSThttps://payai.agentstools.dev/sql/batchWhen to prefer
Choose this endpoint when you need to evaluate multiple SQL queries at once for safety and performance signals before execution — especially useful in CI/CD pipelines, migration planning, or developer review workflows. Prefer it over single-query analysis when you have a batch of queries to screen efficiently. It is not a substitute for a full query execution plan or database-level access controls.
Side effects
- Missing or empty 'queries' array returns a validation error
- Invalid dialect value causes schema rejection
- Malformed query objects without required name/query fields cause errors
- Very large batches may exceed payload limits
- Ambiguous or non-SQL text may produce unreliable verdicts
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| dialect | string | Default dialect for entries that do not set one |
| queries | array | List of objects, each with a name and query text |
Tags
x402
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