Shop Manager
Take control
of your
data supply.
Define sources, set frequency, and control how data flows into your business. Shop Manager gives you control over what you pull, when you pull it, and what it costs.
The Problem
Legacy data delivery is inflexible. Your needs aren't.
Most data delivery is rigid — fixed schedules, fixed sources, fixed spend. You either pull too much and waste money, or too little and miss important signals.
Control is fragmented
Control is split across APIs, scripts, and schedules. Changing anything requires updates in multiple places.
Execution rules are inflexible
Changing cadence, scope, or delivery requires rebuilding the workflow. Every adjustment means engineering time.
Shop Manager centralises control so data can be configured, scheduled, and delivered in one place.
The Solution
A control layer for your data.
Control how data is sourced, scheduled, and delivered from a single layer.
Source Control
Choose data sources. Define scope per job.
Assign sources by use case, priority, or coverage need — without touching pipelines or rewriting scripts.
- Pick exactly which sources feed each job
- Group entities into a reusable unit of execution
- Swap, add, or retire sources without rebuilding
- Coverage decisions stay with the business, not engineering
source_aPrimary
source_bPrimary
directReference
Frequency Control
Set execution timing. Run on demand or on a schedule.
Switch between manual, recurring, and extended monitoring modes — all from the same configuration.
- Trigger jobs on demand when timing matters most
- Automate recurring runs without manual setup each time
- Use frequency as a cost and performance control lever
- Adjust cadence per job without touching others
{
"run_mode": "scheduled",
"schedule": "daily 01:00",
"horizon": "30d",
"status": "active"
}
Cost Control
Limit data usage. Adjust scope and frequency to control cost.
Reduce wasted calls without sacrificing data coverage. Every credit is allocated intentionally.
- Tune scope and cadence per job to match budget
- See consumption alongside delivery in one workflow
- Prevent overruns before they happen
- Shift spend toward the signals that matter
What that unlocks
Spend with intent, not inertia
Per-job budget control
Credits allocated intentionally
No wasted calls
How It Works
Define once. Run continuously.
Define what to pull, how it runs, and where it goes. Jobs run automatically once configured.
01
Select your data
Search, filter, and group the data you want to retrieve. Set the scope before any cost is incurred.
02
Build a Shop
Create reusable configurations with defined parameters. Capture logic once and reuse it across runs.
03
Set execution rules
Run instantly or schedule at any frequency. Use cadence as a control lever, not a limitation.
04
Receive data automatically
Deliver via webhooks or integrate into your pipeline. Track consumption and delivery together.
Comparison
Legacy pipelines vs. Shop Manager.
The difference between rigid delivery and a control layer that adapts to how your business actually runs.
Legacy delivery
Fixed pipelines, fragmented control
- Scattered configurationChanges require updates across APIs, scripts, and schedules.
- Rigid executionCadence, scope, and delivery are baked into the pipeline itself.
- Unbounded spendEither over-pulling and wasting budget, or under-pulling and missing signals.
Shop Manager
Defined, scheduled, delivered — in one place
- Centralised controlConfigure sources, scope, frequency, and delivery from a single layer.
- Flexible executionSwitch between manual, recurring, and extended modes without rebuilding.
- Intentional spendTune scope and cadence per job — every credit allocated with purpose.
Control how your data is
delivered.
Define, schedule, and deliver data from one place — with control over sources, frequency, and cost.
Source control Frequency control Cost control