
Valoria
Research x402-paid AI service economics—what earns, where gaps exist, and how to price your own metered endpoint before you ship.
Overview
Valoria is a MCP server for the Validate phase that surfaces x402 earning trends and pricing gaps so you can set rates for paid AI services.
What is this MCP server?
- Streamable HTTP MCP at https://x402.valoria.net/mcp (npm @jamesrez/valoria 1.3.0)
- x402-focused intelligence: see what is earning and spot profitable service gaps
- Pricing guidance oriented toward metered or pay-per-call AI APIs
- Remote hosted server—no local daemon required beyond MCP client config
- Pairs conceptually with Valoria Intelligence for broader AI market views
- Server version 1.3.0
- npm identifier @jamesrez/valoria
- Endpoint https://x402.valoria.net/mcp with streamable-http transport
What problem does it solve?
You are launching a metered AI API on x402 but lack visibility into what others charge and what niches still pay.
Who is it for?
Solo builders planning x402-monetized agents, tools, or APIs who want data-informed pricing during validation.
Skip if: Teams with no x402 plans or those needing direct payment processing, invoicing, or ledger integration inside the agent.
What do I get? / Deliverables
Your agent returns x402 market and pricing signals you can turn into a defensible price list and positioning before build and launch.
- Agent-accessible view of x402 earning patterns and gap opportunities
- Pricing-oriented inputs for your service definition and landing copy
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Journey fit
Validate is where you decide whether and how to charge; Valoria targets x402 pricing and revenue gaps before full build commitment. Pricing subphase covers competitive rates, packaging, and monetization models for services you plan to offer.
How it compares
x402 market and pricing MCP, not a generic accounting or Monarch-style personal finance connector.
Common Questions / FAQ
Who is Valoria for?
Indie developers and small teams building paid AI or API services on x402 who need earning data and gap analysis inside their coding agent.
When should I use Valoria?
In Validate when you are choosing pricing, packaging, and which AI service niche to ship on x402 before heavy implementation.
How do I add Valoria to my agent?
Add the remote MCP endpoint https://x402.valoria.net/mcp with streamable-http transport using identifier @jamesrez/valoria 1.3.0 in your MCP client configuration.