Fix event contract mismatches
Connect
SPIRITT
Keen.ioKeen.io
Give event data a usable contract
Build a Keen.io event catalog and data-quality operation from collection schemas, property types, distinct values, and cached dataset definitions. SPIRITT brings the event collection schemas, property values, and cached dataset definitions into one working operation, coordinates the next steps across your connected tools, and keeps the outcome in view.
What you can do with Keen.io.
Event schemas become a shared contract
Inspect event collections and property types, then build a searchable schema dictionary linked to the owning product and engineering teams.
Distinct values expose quality gaps
Retrieve unique property values for a bounded timeframe and filters. Compare them with approved taxonomies to find spelling drift, unexpected categories, and integration mismatches.
Cached datasets have clear ownership
Inventory cached dataset definitions, their query configuration, status, and timing information, then connect them to the reports and owners that depend on them.
Works with your other apps.
Get started in three steps.
01
Open your workspace
Create a SPIRITT workspace for your Keen.io operation. Describe the outcome, the records involved, and what finished work should look like.
02
Connect Keen.io
Connect Keen.io with access to the event collection schemas, property values, and cached dataset definitions needed for the mission. Connect companion apps for the handoffs you want SPIRITT to run.
03
Delegate a mission
Ask SPIRITT to build a Keen.io event catalog and data-quality operation from collection schemas, property types, distinct values, and cached dataset definitions. Set the approval points and cadence, then let it carry the work through.
Hand over a mission.
Choose a mission. Make it yours.
Put Keen.io to work.
Give event data a usable contract
Questions
Keen.io, with SPIRITT.
01Can SPIRITT build an event data catalog?+
Inspect event collections and property types, then build a searchable schema dictionary linked to the owning product and engineering teams.
02Can it validate event property values?+
Retrieve unique property values for a bounded timeframe and filters. Compare them with approved taxonomies to find spelling drift, unexpected categories, and integration mismatches.
03Can it organize cached dataset definitions?+
Inventory cached dataset definitions, their query configuration, status, and timing information, then connect them to the reports and owners that depend on them.
04Can it ingest events or run unrestricted analytics?+
These workflows inspect schemas and cached dataset definitions and retrieve distinct property values. They do not ingest events, execute arbitrary analytical queries, or read cached result rows. Distinct values describe the observed set, not counts or conversion rates.
05How do I set up Keen.io with SPIRITT?+
Open a SPIRITT workspace, connect Keen.io, and describe the mission. Choose the event collection schemas, property values, and cached dataset definitions it should use and the actions it can take. Add the companion connections for messages, records, or deliverables outside Keen.io.
06How does SPIRITT follow through on Keen.io work?+
Schema snapshots and bounded distinct-value results provide a baseline for instrumentation work. SPIRITT assigns upstream fixes, rechecks the observed contract, and keeps cached definition status separate from computed analytics.