ZeroResearch · Zoey Model Query
Submit queries to the trained Zoey AI model and receive scored, relevant results.
What it does
Submit queries to the trained Zoey AI model and receive scored, relevant results.
- Retrieve information from a specialized trained model
- Execute domain-specific queries against curated knowledge
- Integrate custom model inference into agent pipelines
Ideal buyer
Research agents and knowledge systems requiring access to the Zoey trained model.
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.
“Query the Zoey model about recent developments in zero-knowledge proof applications.”
Endpoint request body
The JSON payload your agent sends to the endpoint.
{
"query": "Recent developments in zero-knowledge proof applications"
}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://x402.zeroresearch.ai/ \ -H "Content-Type: application/json" \ -H "X-PAYMENT: [signed_payment_envelope]" \ -d '{"query":"Recent developments in zero-knowledge proof applications"}'
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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