Research & analysis
Competitive pricing tracker
Track prices over time and surface meaningful changes.
- NoSQL
- Utilities
- Workflows
- Memory
The scenario
An agent records competitor prices daily and reports only when a change crosses a threshold.
How it works
- 1Each reading is written as a record.
- 2A utility compares against the last reading.
- 3Changes above the threshold start a report workflow.
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 reading is written as a record.
queued- Ahura NoSQLnosql.putqueued
status: queued · 0 / 600 records written
- Ahura Utilitiesutilities.clean_article_extractorqueued
status: queued · 0 / 120 documents processed
02A utility compares against the last reading.
queued- Ahura Workflowsworkflow.definequeued
status: queued · 0 / 36 steps completed
03Changes above the threshold start a report workflow.
queued- Ahura Memorymemory.deletequeued
status: queued · 0 / 240 keys written
Services in this partition
NoSQL
0 calls · 0.00 ACU
Utilities
0 calls · 0.00 ACU
Workflows
0 calls · 0.00 ACU
Memory
0 calls · 0.00 ACU
Spend by service
Event log
- Waiting to start.
Why Ahura OS
Why this is better on Ahura OS
Tracking prices sounds trivial until it needs a scraper host, a database, a scheduler and someone to notice when one breaks. Ahura OS reduces it to a workflow, a small collection and a comparison function. There is nothing to provision, nothing idle between readings, and history is kept exactly as long as you decide. When a change crosses your threshold the report starts itself, so the insight arrives the same day, not at the next review.
What each capability replaces
- Ahura NoSQLInstead of designing tables and maintaining indexes, you write documents and query them. Indexes are looked after for you.
- Ahura UtilitiesInstead of a function platform to host, common helpers are ready to call and billed per invocation.
- Ahura WorkflowsInstead of writing retry, timeout and approval plumbing, you declare the steps and the platform guarantees the behaviour and the history.
- Ahura MemoryInstead of provisioning and securing a cache or database, agents get fast key/value state with expiry already scoped to their partition.
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
A scraper on a server, a database, and a spreadsheet someone updates by hand.
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