Keen.io
Your team tracks millions of events but answering questions still requires writing queries. Your AI agent inspects Keen.io collections, runs select-unique analyses, lists cached datasets, and audits access keys, delivering analytics answers through natural conversation instead of API calls.
Your agent queries Keen.io's analytics API to inspect schemas, analyze event properties, browse datasets, and manage access, all through natural conversation.
Keen.io
Event collection inspection, unique value analysis, and access governance happen through conversation. Your team gets data answers without writing queries.
A new developer joins the team and asks 'What events do we track and what properties do they have?' Your AI Agent inspects all Keen.io event collections with schema details enabled, returns a structured summary of every collection and its properties. The developer understands the data model in one conversation instead of reading through code, documentation, or asking three different teammates.
Before a board meeting, a VP messages 'How many distinct product SKUs were purchased this month, grouped by region?' Your AI Agent runs a select_unique query on the purchases collection with item_sku as the target property, this_30_days as the timeframe, and group_by set to region. Results appear in the chat within seconds. The VP walks into the meeting with fresh numbers, no analyst required.
An engineer accidentally revokes a production read key that powers a customer dashboard. Instead of panicking and navigating the Keen admin panel under pressure, they message the AI Agent with the project ID and key string. The agent calls the unrevoke endpoint, reactivates the key, and confirms the dashboard is back online. Downtime drops from 15 minutes of troubleshooting to 30 seconds of conversation.
Keen.io
FAQs
It depends on what you want the agent to do. Use a Read Key for inspection and analytics queries only. Use a Master Key if you also want to manage access keys. The agent accepts the key as a configuration parameter and uses it for all requests. We recommend starting with a Read Key for the principle of least privilege.
The current integration supports select_unique queries with filters, group_by, timeframe, interval, and timezone parameters. This covers unique value counting, segmentation by property, and time-series analysis. For counts, sums, and funnels, you can extend the integration or use Keen.io's cached datasets for pre-computed results.
Each query targets a single event collection. However, the agent can run multiple queries in sequence during a conversation, aggregating results across collections. For complex cross-collection analysis, Keen.io's cached datasets can pre-compute these joins for faster access.
Cached datasets are pre-computed query results stored in Keen.io for fast retrieval. The agent lists dataset definitions with pagination so your team can browse available materialized analytics. This is especially useful for frequently-asked metrics that do not need to be computed on every request.
No. All event data, schemas, and query results are fetched from Keen.io in real time during active conversations. Tars does not replicate, cache, or persist your analytics data. Results are displayed in the conversation and not stored after the session ends.
Yes. The inspect property endpoint returns the inferred type and resource URL for any property in any collection. If a data pipeline sends a string where a number is expected, the agent can identify the type mismatch immediately by inspecting the property schema, speeding up troubleshooting.
The agent supports relative timeframes like 'this_7_days,' 'previous_month,' and 'this_year,' as well as absolute timeframes with ISO-8601 start and end dates. You can also specify timezone as an offset in seconds or IANA timezone name like 'US/Pacific' for accurate local time analysis.
Keen.io dashboards display pre-configured charts. A Tars AI Agent lets anyone ask ad-hoc questions about your event data without building visualizations first. It is ideal for quick lookups, schema discovery, and on-the-fly analysis that does not warrant a dedicated dashboard panel.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
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