Spend controls for AI agents.
Set budgets, approve risky calls, and audit every paid tool invocation before an agent spends a cent.
Not a replacement for Stripe, PayPal, Apple Pay, Square, Coinbase, or x402. JiesdaPay connects to payment rails and adds policy, authorization, and ledger context around them.
Reason: compare competitors and estimate winning price.
Agents can spend.
Users need control.
AI agents no longer just answer questions. They call MCPs, hit paid APIs, buy data, run specialized skills, and complete workflows on a user's behalf.
Traditional payments were designed for a human checkout. Agents need something else entirely.
JiesdaPay adds scoped authorization, automatic execution, and after-the-fact audit to every paid agent call.
Payment controls for every paid agent call.
JiesdaPay sits between the agent runtime and any paid MCP, API, or skill. It applies control before, during, and after the call.
A control layer for every paid agent call
The agent asks, JiesdaPay checks scope and budget, then the payment rail and paid tool execute with an audit trail.
Agent Runtime
Paid MCP / API / Skill
Policy Engine
Decides whether this agent can call this service at all.
Budget Guard
Checks task, user, org, and tool limits before spending.
Approval Gate
Routes new, costly, or sensitive calls to confirmation.
Audit Ledger
Records the task, agent, tool, reason, and result.
Turn useful agent work into paid services.
Connect an endpoint or host a skill, choose pricing, bind your own payment rail, and ship paid access without rebuilding accounts, orders, budgets, and audit infrastructure.
Connect or upload
Point JiesdaPay at an MCP/API endpoint or hosted skill folder.
Set pricing and limits
Use per-call, per-task, free-tier, and rate-limit rules.
Bind a rail
Connect Stripe, wallet, x402, or another rail you control.
Publish paid access
Expose one governed endpoint with usage logs and receipts.
Expose the capability, not raw references, scripts, or templates. JiesdaPay adds metering, rate limits, leak-intent checks, and audit.
Grant a scoped budget, then see why every dollar moved.
The first paid call should not create a full checkout flow, and the tenth call should not be invisible. JiesdaPay lets the agent act inside a budget, then gives the user a readable ledger.
Scoped budget, readable spend
One task budget lets the agent work without constant popups, while every paid call remains explainable and exportable.
Grant a task budget.
Record reason and result.
Enterprise-grade spend governance.
Agent spend touches department budgets, approvals, vendor whitelists, log retention, and reconciliation. JiesdaPay is the neutral control plane: model-agnostic and rail-agnostic.
Multi-agent spend policy
One set of rules across every agent and model.
Budgets by team & project
User, department, and cost-center dimensions.
Tool & agent whitelists
Approve which MCPs, APIs, and skills are callable.
Approval queues
Route high-risk calls to the right reviewer.
Reports & reconciliation
Monthly spend reports tied to payment feeds.
Private deployment
Self-host or connect to internal systems.
Built on open protocols. Clear by design.
We embrace the open ecosystem instead of locking users into one payment or model platform.
Questions, answered honestly.
Are you a payment company?
No. JiesdaPay does not replace payment rails. It adds policy, authorization, audit, and order explanation around paid agent calls.
Does money flow through JiesdaPay?
Not in phase one. Developers bind their own rail or wallet; JiesdaPay records the payment and agent-call events.
What's your relationship to x402?
x402 solves how machines pay for HTTP resources. JiesdaPay focuses on who may pay, why, how much, and how the spend is audited.
Can hosted skills leak?
Raw skill assets are never directly exposed. JiesdaPay adds minimal retrieval, rate limits, output filtering, and audit to reduce bulk extraction risk.
Turn your MCP or skill
into a paid service.
Spend controls and monetization infrastructure for AI agents: scoped budgets, approvals, and audit on every paid call.