GG402 · Analyze and Optimize Database Schema

Analyze database schemas and queries to generate optimization recommendations including indexes, normalization, and SQL fixes.

What it does

Analyze database schemas and queries to generate optimization recommendations including indexes, normalization, and SQL fixes.

  • Identify missing indexes slowing queries
  • Normalize redundant database structures
  • Generate optimized SQL for slow queries
  • Audit schema design for scalability issues

Ideal buyer

AI agents and DevOps automation that need to programmatically diagnose and fix database performance bottlenecks.

Use with AXON

Run this through your governed agent wallet.

  1. 01
    Bootstrap AXON once with npx @axon402/init.
  2. 02
    Use the AXON runtime MCP tools to search_x402_services or inspect_x402_offer for this service.
  3. 03
    Quote, test-buy, then run the governed paid fetch through AXON.

Send this

Prompt for your agent

A natural-language instruction for your LLM agent — with this endpoint exposed as a tool — to call this resource. Not sent to the endpoint; the endpoint consumes the JSON body below.

Pasting this prompt into a raw ChatGPT or unconfigured agent will notexecute the paid endpoint flow. Run it through an agent with the AXON runtime / MCP tools exposed (see “Use with AXON” above) so the 402 challenge, quote, and governed fetch are handled for you.

Analyze this schema and query pattern to find why our user dashboard loads slowly: [schema and query details]

Endpoint request body

The JSON payload your agent sends to the endpoint.

application/json
{
  "schema": {
    "tables": [
      {
        "name": "users",
        "columns": [
          {
            "name": "id",
            "type": "int"
          },
          {
            "name": "email",
            "type": "varchar"
          }
        ]
      }
    ]
  },
  "queries": [
    "SELECT * FROM users WHERE email LIKE '%@gmail.com'"
  ],
  "workload": "read-heavy"
}

Advanced HTTP details

For integrators who need the raw protocol surface. Most agents should use AXON above instead of calling these directly.

curl fallback

curl https://gg402.vercel.app/database_optimizer \
  -H "Content-Type: application/json" \
  -H "X-PAYMENT: [signed_payment_envelope]" \
  -d '{"schema":{"tables":[{"name":"users","columns":[{"name":"id","type":"int"},{"name":"email","type":"varchar"}]}]},"queries":["SELECT * FROM users WHERE email LIKE '%@gmail.com'"],"workload":"read-heavy"}'

Payment & settlement details

Raw on-chain settlement parameters. AXON above handles these automatically through quote / test-buy / governed fetch.

baseexact
$0.010
per call
Pay-to address0x9257cd24721e3c06e9f7655b77c283bcd9652132
T/O: 60s asset 0x8335…2913

Price & network

Cheapest call$0.010
Networks
base

Trust & risk

Trust tier Indexed external
Risk flagsNo risks flagged
View JSON bundle

Indexed from facilitator discovery data

Last enriched: