Stripe Revenue Pulse

What it does

Stripe Revenue Pulse automates weekly SaaS revenue reporting. It pulls charges, subscriptions and balance from the Stripe API, computes MRR, churn rate, expansion MRR and NRR, compares against the previous period, and detects anomalies such as refund spikes, downgrade patterns and high failure rates. A bilingual (EN/TR) narrative is synthesized via LLM and posted as a rich Slack report; a deterministic template fallback applies when no LLM is configured. PII-safe by design: customer emails are never fetched or forwarded. Built for SaaS CFOs and growth teams who want a hands-off weekly revenue pulse instead of manual dashboard checks.

Example prompts

• Run the full weekly revenue pulse and post it to Slack
• What's our current MRR, churn rate and NRR?
• Show me only revenue anomalies from this period
• Post this week's revenue report to the #revenue channel

Tools (8)

Tools the agent exposes — your AI client calls them automatically when it needs them.

• run_full — Run the pipeline end-to-end: collect, compute MRR/churn/NRR, synthesize narrative, optionally post to Slack.
• analyze_revenue — Pure deterministic MRR/churn/NRR analysis on a RawData object from the Stripe connector. No LLM call.
• get_revenue_snapshot — Collect the current period's raw Stripe revenue data without analysis.
• detect_anomalies — Run the pipeline and return only anomalies and critical/warning findings.
• post_slack_report — Post a formatted weekly revenue report to a Slack channel.
• list_capabilities — List available tools, credential slots and agent metadata.
• plan_inputs — Guided entry point: returns questions, schema and example for any tool.
• discover_intent — Detect user intent from a natural-language utterance (EN/TR) and return the best tool with pre-filled args.