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GEDX402 SQLCoder-7B-2 LLM Endpoint
x402
GEDX402 SQLCoder-7B-2 LLM Endpoint is a paid API for AI agents from llm.gedx402.com, paid per call via x402, $0.016/call, status unknown (last checked 2026-09-14).
Runs the SQLCoder-7B-2 text-to-SQL model via Cloudflare Workers AI, accepting chat-style messages and returning SQL-focused completions, paid per-call with USDC on-chain.
Price / call$0.016
Success—
StatusUnknown
How this service works
x402 workers ai. pay with usdc on base, polygon, arbitrum, world, or solana. no api keys.
Output
A JSON object containing the model name (@cf/defog/sqlcoder-7b-2) and the assistant's generated response, typically a SQL query or explanation, based on the input messages.
Example use cases
Example prompt
“Using the SQLCoder-7B-2 model, write me a SQL query that finds the top 10 customers by total order value from a table called orders with columns customer_id, amount, and created_at — allow up to 512 tokens in the response.”
Technical details
Endpoint
GEThttps://llm.gedx402.com/v1/llm/sqlcoder-7b-2When to prefer
Choose this endpoint when you need a specialized SQL-generation model (SQLCoder-7B-2) without managing API keys, and you are comfortable paying per-call in USDC via the x402 protocol on Base, Polygon, Arbitrum, World, or Solana. Ideal for agents that need on-demand text-to-SQL conversion with crypto micropayments and no subscription overhead.
Side effects
- Payment failure if USDC balance insufficient or unsupported chain used
- 402 Payment Required if x402 payment header is missing or malformed
- Invalid input if messages array is empty or missing required role/content fields
- max_tokens out of range (must be 1–4096) returns validation error
- Model unavailable on Cloudflare Workers AI backend returns 5xx
- Malformed JSON request body returns 400
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| messages | array | Conversation turns in order (system, user, assistant). |
| max_tokens | integer | Maximum tokens to generate in the assistant reply. |
Output
Schema · Response
{
"type": "json",
"example": {
"model": "@cf/defog/sqlcoder-7b-2",
"response": "Hello!"
}
}Tags
x402
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Zero review prompt (fires after every successful call)
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