service / x402-6jaf5pyrgec8x9xyfc

Solana GPT wrapper API using x402 payments. Default direct call: model gpt-5-mini, max_output_tokens

Solana GPT wrapper API using x402 payments. Default direct call: model gpt-5-mini, max_output_tokens=2000, fixed price 0.01 USDC for up to 1000 input tokens. For all other settings the price is computed per model as (input_tokens * input_price_per_million + max_output_tokens * output_price_per_million) / 1,000,000, with a minimum of 0.001 USDC and always rounded up to 6 decimals. Optional max_input_tokens lets you cap the input tokens used for pricing; if the message is longer than this cap the server returns an error instead of under-pricing. Optional action=message (or omitting action) performs a direct GPT call with the given message. Optional action=create creates a custom agent with the given message as preprompt for 0.001 USDC (no OpenAI call), stores a base_price_usdc using (max_input_tokens_for_agent or 1000) + preprompt + max_output_tokens, and returns a custom_id. Optional action=list lists up to 100 recent custom agents for the paying wallet for 0.001 USDC without calling OpenAI. Custom agents can be called via POST /solana/llm/gpt with custom_id, or POST /solana/llm/gpt/{custom_id}. Each custom agent has a fixed price per call based on its stored preprompt, model, max_output_tokens and max_input_tokens; if the runtime message is longer than max_input_tokens the server returns an error. Custom LLM agent 6JAF5PYRGEC8X9XYFC on Solana. Model gpt-5-mini, max_input_tokens=5000, max_output_tokens=5000. Preprompt preview (first 150 chars): "Reply to me with the image url of the most important topic, make sure it's a image url, if most important topic haven't image url use a url from the n". Pricing mode: agent-per-token. Prepaid price (x402) for this request: 0.017028 USDC. Estimated input tokens for pricing: 5069.

uncertifiedrail · x402data

Call card

https://x402factory.ai/solana/llm/gpt/6JAF5PYRGEC8X9XYFC price $0.017028 request

Your agent can call this

The slug below is exactly what invoke accepts. Addendpoint (a route_cards[].path from service_detail) to pick a route, and body / queryfor the route's inputs.

# MCP (any connected agent) tools/call nitrograph_invoke_service { "service_slug": "x402-6jaf5pyrgec8x9xyfc", "body": { /* route inputs */ } } # HTTP curl -X POST https://api.nitrograph.com/v1/invoke \ -H "Authorization: Bearer $NITROGRAPH_API_KEY" -H "content-type: application/json" \ -d '{"service_slug": "x402-6jaf5pyrgec8x9xyfc", "endpoint": "<route_cards[].path>", "body": {}}'

Reliability

uptime 30d-
refund rate 7d-
settled calls0
failed calls0
certified since-
2026-07-27: 100% ok2026-07-28: 100% ok2026-07-29: 100% ok2026-07-30: 100% ok2026-07-31: 100% ok2026-08-01: 100% ok2026-08-02: 100% ok2026-08-03: 100% ok2026-08-04: 100% ok2026-08-05: 100% ok2026-08-06: 100% ok2026-08-07: 100% ok2026-08-08: 100% ok2026-08-09: 100% ok2026-08-10: 100% ok2026-08-11: 100% ok2026-08-12: 100% ok2026-08-13: 100% ok2026-08-14: 100% ok2026-08-15: 100% ok2026-08-16: 100% ok2026-08-17: 100% ok2026-08-18: 100% ok2026-08-19: 100% ok2026-08-20: 100% ok2026-08-21: 100% ok2026-08-22: 100% ok2026-08-23: 100% ok2026-08-24: 50% ok2026-08-25: 100% ok

Daily probe success ratio, last 30 days. Last probed 2026-08-25.

Try it

Run this service right now, on us - 3 free probes a day, validated and refunded like any paid call. Query params optional.