…
Paitify is the spend policy engine for autonomous AI agents. Define granular rules, authorize transactions in real time, and maintain a complete audit trail — without slowing your agents down.
Enter an amount and hit Authorize to see a live decision.
90 seconds: watch an AI agent get auto-approved at $49 — and stopped at $600.
Modern LLM agents browse, purchase, spin up infrastructure, and call paid APIs — often autonomously, 24/7. Without centralized spend controls, a single misconfigured agent can drain budgets, violate compliance policies, or transact with unauthorized merchants before anyone notices.
Traditional payment controls were designed for humans. Paitify is built for machines — real-time decisions, policy as code, and machine-readable JWT tokens your payment layer can verify without calling home.
Whatever your agent buys, and whatever rail it pays on, Paitify is the policy and audit layer that decides yes or no — and logs it.
An agent buying software, supplies, or cloud resources against a department budget.
A coding agent calling metered APIs, LLM tokens, or compute against a hard ceiling.
An agent adjusting bids or launching campaigns within daily and campaign budget caps.
An agent executing trades within position and value limits, logged for reconstruction.
One API call before every payment. Policies enforced. Every decision logged.
Set spend limits, merchant rules, and approval thresholds in the dashboard — per agent or company-wide.
Your agent makes one API call before each payment. Paitify approves or denies in real time, with a reason.
Every decision is logged automatically. Review the full audit trail in your dashboard.
import requests
response = requests.post(
"https://api.paitify.io/v1/integration/authorize",
headers={"X-API-Key": PAITIFY_API_KEY},
json={
"agentId": "procurement-agent-01",
"amount": 249.99,
"currency": "USD",
"merchantName": "AWS",
"mccCode": "7372",
}
)
result = response.json()
if result["state"] == "AUTHORIZED":
charge_card(amount=249.99)
confirm_capture(result["authorizationId"]) # POST /v1/integration/authorize/{id}/capture
elif result["state"] == "CAPTURED":
charge_card(amount=249.99) # AUTO capture mode: already recorded — skip /capture
elif result["state"] == "REQUIRES_APPROVAL":
wait_for_approval(result["authorizationId"]) # poll GET /v1/integration/authorizations/{id}
else:
print(f"Spend denied: {result['reasonCode']}")
Every feature designed for the real operational challenges of deploying autonomous agents at scale.
Redis-backed spend counters and in-memory rule evaluation. No batch delay — every authorization is checked live.
AUTO: spend commits immediately on authorize, call /cancel only on failure. EXPLICIT: reserve with AUTHORIZED, commit with /capture, or release with /cancel.
Works with Claude and any MCP-compatible client out of the box.
Every decision logged with full rule evaluation results, agent ID, merchant data, and timestamps.
Flag high-value transactions for human approval. Agents wait; humans decide; budget holds until resolved.
Approvals are RSA-2048 signed tokens. Payment processors verify offline using JWKS — no callback latency.
Per-agent or company-wide. Limits by amount, period, MCC code, currency, velocity, merchant, and business hours.
Rate-limit transactions per sliding window. Stop looping agents before they hit your card limits.
REST API. Works with any stack, any language, any payment processor.
Every authorization Paitify makes — approved, denied, or sent for human review — is written to an append-only audit log in the same transaction as the decision itself.
Each entry chains to the one before it, so a tampered or missing record breaks the chain and shows immediately. Nothing is a soft-deletable row — it's a ledger.
Start free. Scale as your agents grow.
For individuals and side projects.
For small teams deploying their first agents.
Start for free. No credit card required. Your first 1,000 authorizations are on us.