apiacre.com SQL Change Review

x402

apiacre.com SQL Change Review is a paid API for AI agents from apiacre.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-09).

Statically analyzes caller-supplied SQL statements without executing them, inventorying tables and operations while flagging destructive DDL, unfiltered writes, and migration atomicity risks.

Price / call$0.05

Seller volume →—

Success—

StatusUnknown

How this service works

Statically parse caller-supplied SQL without a database connection or execution, inventory statements and tables, and flag destructive DDL, unfiltered writes, and migration atomicity concerns.

Output

Returns a structured report including an inventory of parsed SQL statements and affected tables, flags for destructive DDL operations (e.g. DROP, TRUNCATE), warnings about unfiltered writes (UPDATE or DELETE without WHERE clauses), and atomicity concerns in migration scripts — all without executing the SQL against any database.

Example use cases

Pre-deploy migration safety check

“Before we deploy this migration to production, can you parse this SQL script and tell me if there are any DROP TABLE statements, unfiltered DELETEs, or transactions that aren't wrapped properly for atomicity?”

Code review automation for schema changes

“I'm reviewing a pull request that includes a SQL schema change. Can you analyze this ALTER TABLE and DROP COLUMN script to flag any destructive DDL or missing rollback concerns I should block it on?”

CI pipeline SQL linting

“We want to catch dangerous SQL in our CI pipeline — can you analyze this migration file and return a machine-readable list of all tables touched, statement types used, and any risky operations like unguarded UPDATE or TRUNCATE?”

Technical details

Endpoint

POSThttps://apiacre.com/v1/developer/sql-change-review?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a safe, zero-side-effect pre-flight check on SQL before execution — especially for migration scripts, CI/CD pipelines, or code review automation. It is ideal when you cannot or should not connect to a live database, and you want structured, machine-readable risk flags rather than a human-written opinion. Prefer it over running EXPLAIN or database-native checks when isolation from the database is required.

Side effects

Malformed or unparseable SQL returns a parse error with position details
Extremely large or complex SQL scripts may exceed input size limits
Dialect-specific syntax unsupported by the static parser may produce incomplete analysis
Ambiguous or dynamic SQL (e.g. using variables) may not be fully analyzable statically

Input

Schema · Request body

Field	Type	Description
sql	string
dialect	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {
      "valid": true,
      "parser": {
        "name": "SQLGlot",
        "license": "MIT",
        "version": "30.16.0"
      },
      "dialect": "postgres",
      "summary": {
        "readStatements": 0,
        "otherStatements": 0,
        "dataChangeStatements": 0,
        "transactionStatements": 0,
        "schemaChangeStatements": 1
      },
      "findings": [],
      "execution": {
        "sqlExecuted": false,
        "databaseConnected": false
      },
      "statements": [
        {
          "index": 1,
          "category": "schema-change",
          "readOnly": false,
          "operation": "CREATE",
          "targetObjects": [
            "accounts"
          ]
        }
      ],
      "limitations": [
        "Static syntax review only; database schema, permissions, triggers, data volum...",
        "A low attention score does not prove a change is correct or safe to deploy."
      ],
      "attentionLevel": "clear",
      "attentionScore": 0,
      "documentSha256": "3e31b98c852573137d17dcb062b2a1571d63052f71abeeb8b62296f3d1066af4",
      "reviewDecision": "clear",
      "statementCount": 1
    },
    "meta": {
      "cached": false,
      "sources": [],
      "warnings": [],
      "duration_ms": 42,
      "next_actions": []
    },
    "service": "developer.sql-change-review",
    "version": "1",
    "request_id": "018f1f54-7f38-7ba2-8dc3-5f90272d9f1a"
  }
}

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