Give AI Agents the Ability to Spend Securely
Set limits, monitor usage, and revoke anytime. SpendOS is the financial control plane that gives engineering and finance leaders full visibility into what their AI agents spend, where, and why.
Spend (MTD)
$12,847
62% of budget
Active Agents
34
across 6 teams
Violations
0
3 blocked this week
Policy Check
Budget & service approved
AI agents are a line item you can't see
Your teams are deploying agents that call paid APIs autonomously. But the financial controls haven't caught up.
0%
Visibility
into per-agent API spend across most organizations today
$$$
Runaway risk
One misconfigured loop can drain thousands before anyone notices
0
Budget hierarchy
No way to allocate from org → department → team → agent
N/A
Audit trail
Regulators require records of AI-driven transactions — none exist
How it works
Set the rules. Let agents operate. See everything.
Set budgets and policies
Allocate spend from org to department to team to individual agent. Define per-agent caps, service whitelists, rate limits, and approval thresholds — no custom middleware required.
Agents transact via MPP
Agents call pay-per-use APIs through SpendOS's MCP tools. Every request is evaluated against your policies in real time — approved or blocked before any money moves.
Enrichment API
research-agent-04
Image Generation
content-agent-01
Email Verification
outreach-agent-12
Every dollar is attributed
Transactions settle via Machine Payments Protocol and are logged to a tamper-proof ledger — tagged by agent, team, service, and cost center. Finance sees exactly where money goes.
The control plane for AI agent spend
Budget allocation, policy enforcement, cost attribution, and compliance — in one platform.
Policy Engine & Governance
Per-agent spending caps, service whitelists, rate limits, and approval workflows. Policies are enforced on-chain — immutable and auditable independent of SpendOS.
Hierarchical Budget Allocation
Budget allocation flows from organization to department to team to individual agent — mirroring your existing cost centers exactly.
Cost Attribution
See which agent spent what, on which API, for which team — in real time.
Audit Trail
Tamper-proof on-chain records for SOC 2 and regulatory compliance.
Instant Revocation
Stop agent spending immediately. Unused funds return to the parent pool.
Fiat On/Off Ramp
Fund agent wallets from existing budgets — no crypto infrastructure required.
Fits into your existing stack
Agents transact via MPP through drop-in framework integrations. Your engineers add one MCP config — SpendOS handles the rest.
Supported frameworks
Enterprise integrationsRoadmap
Powered by MPP
Machine Payments Protocol
MPP is the payment rail purpose-built for machine-to-machine API micropayments. SpendOS abstracts MPP so your team gets the control plane — without the protocol complexity.
Agent
MCP Tool
Treasury
Policy Check
MPP
Settlement
API
Response
< 200ms
Latency
USDC
Settlement
On-chain
Audit
Pricing that scales with your agents
Start free. Pay as your agent operations grow.
Free
For individual developers evaluating the platform.
$0
- Single team
- Limited wallets
- Basic spend dashboards
- Community support
Team
Full governance for teams scaling AI agent operations.
Custom
- Unlimited agent wallets
- Full policy engine
- Hierarchical budget allocation
- Cost attribution by team & agent
- Real-time spend dashboards
- Email support
Enterprise
For organizations with compliance, audit, and scale requirements.
Custom
- Everything in Team
- SSO & role-based access control
- On-chain audit export
- Compliance reporting
- Dedicated SLAs
- Custom integrations
Take control of your AI agent spend
Get early access to SpendOS — the financial control plane that gives engineering and finance leaders the visibility, governance, and audit trails they need to deploy spending agents with confidence.