Agent Studio
Onboard agents, assign authority, track budget, and understand every financial action before and after execution.
PolicyGrant · ExecutionRun
AGENT MONEY EXECUTION ON STABLE
Modernize payments with stablecoins
Agentisfy lets autonomous systems pay, reconcile, and prove settlement instantly on Stable.
Built on real manifests, grants, runs, proofs, and discrepancies.
Machine-readable intent
Policy-constrained authority
Gasless-first execution
Verified settlement proof
WHY THIS CATEGORY MATTERS NOW
Agents can decide. They still cannot move money safely.
The next wave of software will not just recommend actions. It will execute them. Payments are the missing step.
Stable gives agentic systems a better rail. Agentisfy turns that rail into a safe operating model with authority, fallback, proof, and financial visibility.
- No UI scraping
- No blind retries
- No finance black box
FLAGSHIP FLOW
Autonomous SaaS procurement
One invoice. One governed agent. One safe outcome.
PRODUCT SURFACES
Designed for operators, agents, and internal control.
Merchant Dashboard
See spend, proofs, exceptions, reconciliation state, and the real business outcome of autonomous payment activity.
Funded
250,000
Reserved
18,400
Consumed
121,760
Available
109,840
- execution.started
- execution.completed
- proof.issued
SettlementProof · DiscrepancyRecord
Internal Ops
Inspect live event flow, ambiguity handling, proof issuance, and control-plane health without leaking internal mechanics to customers.
ExecutionEventEnvelope · Waiver lines
Hosted Checkout
Present clean invoice and settlement flows to counterparties while the control plane handles execution and proof behind the scenes.
AgentPaymentManifest · PaymentAttempt
TRUST LAYER
Autonomous payments need evidence.
Agentisfy does not stop at execution. It produces the artifacts operators, finance teams, and platforms need to trust the outcome.
Manifest
Defines exactly what the agent is allowed to do.
Authority
Constrains who can act, where, when, and for how much.
Execution Session
Tracks the run from submission through recovery and closeout.
Verified Settlement
Binds the run to the payment outcome with chain-backed evidence.
Decision Rationale
Explains why the agent acted and why the system allowed it.
Exception Record
Captures ambiguity, risk, and closure requirements in one place.
FINAL STRATEGIC DECISION
How Agentisfy gets paid on Stable.
A Stable-native two-layer model with an optional machine-payments extension keeps billing predictable and settlement explicit.
Layer 1 — Stable Balance
Each customer funds a USDT0 balance on Stable for execution, simulation, webhooks throughput, and exception tooling.
Layer 2 — Metered Execution
Each ExecutionRun reserves a maximum charge, then captures exact usage at closeout for clear pre-authorization and reconciliation.
Optional Layer 3 — x402 paid endpoints
Machine endpoints can return payment-required, accept balance or manifest payment, then resume execution after settlement.
Why this beats monthly SaaS
Usage settles on Stable, links directly to product value, and provides a measurable operating and treasury loop.
SETTLED ON STABLE
Agentisfy can charge as it executes — and settle on Stable.
Every governed execution can reserve budget, meter usage, and settle fees in USDT0 on Stable. That closes the loop between agent action, billing, and proof.
The result is a payment product that does not just run on Stable. It drives real, recurring usage to Stable.
Stable Balance
Customers fund an operator balance in USDT0 on Stable and use it for execution, proofs, and premium platform services.
Metered execution
Each execution session reserves the maximum charge, then settles the final amount when the run closes.
On-chain closeout
Billing, proof, and treasury movement all point back to the same Stable-native financial rail.
PRICING MODEL
Fund once. Execute as you go.
Agentisfy is built for metered execution on Stable. Customers fund Stable Balance, authorize governed usage, and settle on verified outcomes.
0.5 % + network fee
Agentisfy settlement
2.9 % + 30¢
Card rails
‒
FX spread
Comparison
Beyond a checkout
| What they solve | Where they stop | Why Agentisfy matters | |
|---|---|---|---|
| Hosted checkout tools | Clean payment collection UX for known customer and invoice paths. | They do not govern autonomous authority, ambiguity handling, or settlement evidence. | Agent workflows still need a control plane to avoid risk and operational blind spots. |
| Paymaster stacks | Sponsor gas and improve transaction submission ergonomics. | They stop before policy controls, exception workflows, and finance-ready closeout proof. | Execution reliability still needs intent, authority, and reconciliation in one system. |
| Generic payment APIs | Abstract payment rails for app developers and service teams. | They do not model agent-specific governance or ambiguity-safe execution runs. | Autonomous spend requires machine-readable controls and evidence, not just endpoints. |
| Agentisfy | Governed money execution for autonomous systems. | It does not stop at link generation or sponsored submission. | It connects intent, authority, execution, proof, and reconciliation into one operator-grade layer. |
Documentation
Read the operating model, then brief your team.
The documentation explains the control-plane architecture, Stable-native assumptions, and integration contract that frame the flagship execution flow.
NEXT STEP
Ready to modernize your payments?
Bring intent, authority, execution, proof and reconciliation into one trust-grade payment layer.
For Stable ecosystem, merchant ops, and strategic platform partners.