
Posthog
Product teams drown in dashboards. Your AI agent connects to PostHog and pulls event data, feature flag statuses, funnel insights, and user properties on demand. Ask a question in plain language and get the analytics answer your team needs without navigating a single chart.




Your AI agent queries PostHog's analytics engine for event trends, user cohorts, feature flag evaluations, and experiment results, turning complex product data into plain answers.
Posthog
See how product and engineering teams use AI agents connected to PostHog to surface metrics, manage releases, and make data-driven decisions faster.
A product manager messages the AI agent asking for yesterday's key metrics: sign-ups, active users, and feature adoption. The agent queries PostHog's event trends for each metric, compiles the numbers, and delivers a concise standup brief. The PM walks into the meeting with fresh data instead of spending 15 minutes pulling dashboards.
An engineering lead wants to confirm which feature flags are active in production before a release. The AI Agent retrieves the full list of PostHog feature flags, their rollout percentages, and targeting rules. The engineer spots a flag that should have been disabled, updates it, and avoids shipping a conflicting feature to users.
A support team member receives a bug report from a frustrated user. The AI Agent looks up the user's PostHog profile by email, retrieves their recent session events, identifies the error event with its properties, and shares the technical context. The support agent escalates to engineering with a complete reproduction path instead of a vague ticket.

Posthog
FAQs
The agent can query events, persons, feature flags, experiments, dashboards, annotations, cohorts, actions, insights, and session recordings metadata from PostHog. It covers the full breadth of PostHog's API, so your team can ask about virtually any product analytics data point.
The PostHog API supports both reading and writing feature flags. You can configure the agent to only retrieve flag statuses (read-only) or also allow updates like changing rollout percentages and targeting rules. Permissions depend on your API key scope and how you configure the agent's tools.
Yes. When connecting PostHog in Tars, you specify your instance URL (subdomain). This can point to PostHog's US cloud, EU cloud, or your own self-hosted deployment. The agent communicates with whichever instance your API key is configured for.
The agent uses PostHog's API pagination and filtering parameters to retrieve manageable result sets. It applies date ranges, event type filters, and property filters to keep queries efficient. For trend data, it requests aggregated counts rather than raw events.
No. All queries are executed live against PostHog's API during each conversation. Event data, user properties, and experiment results are fetched on demand and used only to answer the current question. Tars does not maintain a copy of your PostHog data.
Absolutely. That is one of the primary use cases. Marketing, sales, and support team members can ask the agent questions in plain language instead of learning PostHog's interface. The agent translates their questions into API queries and returns the results conversationally.
PostHog's interface requires users to log into the dashboard. Tars brings PostHog data into the channels your team already uses, like Slack, WhatsApp, or your internal tools. Plus, the agent can combine PostHog data with other connected tools for cross-platform insights.
You need a PostHog personal API key or project API key with read access to the resources you want the agent to query. For feature flag management, write access is also needed. You can find and generate API keys in your PostHog project settings under the API section.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

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