Finance
Agents with a spending limit
Let agents use services freely, within a budget you set.
- Memory
- Streams
- Workflows
The scenario
An agent works through a task and consumes data and compute as it goes, with a spending limit you set and no human in the loop.
How it works
- 1Each call is priced up front and metered against your account.
- 2Spend is tracked against the agent’s limit.
- 3The agent stops at its cap, and you see the spend by agent and partition.
An illustrative scenario, not a customer story.
Interactive simulation
Simulate this case study
Watch the partition come up, each step run, and usage build as it goes. Simulated: volumes, timings and prices are illustrative.
Partition
—
Status
not created
Elapsed
00:00
- Provisioning
- Processing
- Complete
01Each call is priced up front and metered against your account.
queued- Ahura Memorymemory.setqueued
status: queued · 0 / 240 keys written
02Spend is tracked against the agent’s limit.
queued- Ahura Streamsstreams.readqueued
status: queued · 0 / 300 events routed
03The agent stops at its cap, and you see the spend by agent and partition.
queued- Ahura Workflowsworkflow.historyqueued
status: queued · 0 / 36 steps completed
Services in this partition
Memory
0 calls · 0.00 ACU
Streams
0 calls · 0.00 ACU
Workflows
0 calls · 0.00 ACU
Spend by service
Event log
- Waiting to start.
Why Ahura OS
Why this is better on Ahura OS
Agents can burn through money quickly, and the usual billing model has no brakes: a shared API key, a monthly invoice and no way to see which agent spent what. On Ahura OS you add a card to your account, and every call is priced up front and metered against it. Each agent has its own spending limit, enforced by the platform, so a runaway agent stops at its cap instead of running up a bill.
What each capability replaces
- Ahura MemoryInstead of provisioning and securing a cache or database, agents get fast key/value state with expiry already scoped to their partition.
- Ahura StreamsInstead of a message broker to run, agents, workflows and your own systems react to events through managed routing.
- Ahura WorkflowsInstead of writing retry, timeout and approval plumbing, you declare the steps and the platform guarantees the behaviour and the history.
And on every use case
One endpoint, not a stack
Memory, storage, compute, inference, identity and messaging share one connection, one identity and one bill. The integration work you would normally own disappears.
Isolation by construction
Every agent’s world is a partition. Separation is how the platform is built, not a convention teams must remember to follow.
Cost follows use
Pay per call and per millisecond. Idle agents freeze to archive pricing. There is no capacity to reserve and nothing running unseen.
Retention and deletion built in
Lifetimes, expiry, freezing and destruction are platform features, so your data policy is enforced rather than aspirational.
Safe autonomy
Spending limits, protected signing keys, approval steps and signed actions let agents work unattended without being unaccountable.
Ready for audit
Designed against SOC 2 and ISO 27001 controls, with every call metered, recorded and attributable.
Compared
The old way of doing things
Sign up for each vendor, store API keys, receive a monthly invoice and hope nothing is abused in between.
Data retention is built in
Everything this scenario stores lives in one isolated partition with a lifetime you set. Expired data deletes itself, a paused project freezes to low-cost archive, and a finished one can be destroyed completely. Security and compliance