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.
Run this through your governed agent wallet.
- 01Bootstrap AXON once with
npx @axon402/init. - 02Use the AXON runtime MCP tools to
search_x402_servicesorinspect_x402_offerfor this service. - 03Quote, 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.
{
"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.
Endpoint URL
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.
Price & network
Trust & risk
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Category proxy — we don't track live co-purchase signals yet.