Multi-source data monitoring
Exposed as a scoped capability with its own evidence trail, not a hidden setting.
Knowledge & context · Concept
A continuous intelligence platform that watches datasets and information sources for material changes, emerging signals and commercially useful evidence.
CyclopsData is built for Research teams, investment analysts, enterprise intelligence groups, data product buyers.
CyclopsData replaces manual monitoring, repetitive scraping and disconnected alerting tools.
A continuous intelligence platform that watches datasets and information sources for material changes, emerging signals and commercially useful evidence.
Work stays inside an explicit scope: named sources, defined permissions, bounded execution, retained evidence.
Five contracts the product is specified around. Each one is a boundary as much as a feature.
Exposed as a scoped capability with its own evidence trail, not a hidden setting.
Exposed as a scoped capability with its own evidence trail, not a hidden setting.
Available through the product surface and the machine interfaces, with permission attached.
Available through the product surface and the machine interfaces, with permission attached.
Available through the product surface and the machine interfaces, with permission attached.
The same three steps apply whether a person or an agent is driving.
Start from the boundary CyclopsData is allowed to act inside: the workspace, the sources, the budget, the authority.
Expose the same capability through the interface a human uses and the interface an agent calls, with one permission model.
Every action leaves a record that can be inspected, replayed and challenged before the next one runs.
CyclopsData is documented as a concept: requirements, interfaces and evidence expectations. It is not presented as a live service.