Questions people usually ask before they sign in.

OpsTower is an AI-powered operations layer for lean startup teams. It runs agents on a schedule to surface anomalies, failures, and metric movements every morning, and keeps specialist agents on standby so developers can investigate live issues in plain language instead of opening six browser tabs and hoping for chemistry.

OpsTower is built for early-stage startup teams where the same people who ship the product are also responsible for keeping it healthy. That usually means founders who want a cleaner daily pulse, engineering leads who want signal before small issues become team-wide fire drills, and developers who want operational answers with actual evidence attached rather than folklore.

Traditional dashboards show you data — you still have to look at it, interpret it, and connect the dots between different tools. OpsTower runs agents that do that work for you. The morning report has already read your analytics, scanned your logs, and noted what changed. The debugger agent has already correlated the signals before you have to ask. You get findings and likely causes, not just charts.

You can connect your first integration and run your first agent in the same session. There is no complex infrastructure to set up — OpsTower is a Cloudflare-native deployment that stays lean by design. Most teams have a working daily report within an hour of signing in.

Not for reading reports or asking questions in chat. The agents are designed to produce output that founders and engineers can both read without a translation layer. Connecting integrations involves things like API keys and access tokens, so some light technical familiarity helps during initial setup, but day-to-day use is conversational.

Agents are configured workers that know which data sources to query, what to look for, and how to present their findings. Each agent has its own set of connected integrations, a system prompt that shapes how it reasons, and an optional knowledge base for product-specific context. You can run them on a schedule for automated reporting or trigger them in chat to investigate something right now.

The Analytics Agent queries your connected analytics tools — PostHog, Google Analytics 4, Amplitude, Mixpanel, or a combination — then compares recent performance against the previous period. It surfaces meaningful shifts, flags anomalies, and produces a concise daily summary that highlights what leadership and the product team should actually pay attention to. No more rebuilding the same weekly queries by hand.

The Alert Agent scans your log and observability sources overnight, groups related error signals into coherent findings, and prepares a digest that separates noise from things worth investigating. Instead of hundreds of raw error lines, you get a handful of grouped issues with context about when they started, how many times they occurred, and what systems were involved.

The Debugger Agent responds to natural-language questions in chat. You describe a symptom — a user complaint, a sudden metric drop, an overnight error spike — and it queries your connected logs, analytics, databases, and source code in parallel. It then correlates the signals and explains the most likely cause with supporting evidence, so your team can verify and fix rather than start from scratch.

Yes. The three default agents cover the most common startup ops jobs, but the platform supports specialist agents with custom system prompts, selective integration access, and their own knowledge base. You can stand up an agent focused specifically on payments, a particular user segment, or any domain where your team regularly asks operational questions.

Scheduled agents run on the cadence you configure — daily is the most common, typically early morning before the team's standup. Chat-mode agents run whenever you start a conversation. There are no hard limits on how often you can trigger an investigation in chat.

Currently supported analytics integrations are PostHog, Google Analytics 4, Amplitude, and Mixpanel. These cover most of the analytics stacks that early-stage startups run. Support for additional providers is on the roadmap.

Yes. OpsTower integrates with Sentry for error tracking. The Debugger agent can query Sentry issues with full stack traces, error frequency trends, and release health data. This lets agents surface overnight error spikes and group related issues automatically.

Yes. OpsTower connects to Stripe, Paddle, Chargebee, and Braintree for payment analytics. The Analyst agent can query subscriptions, revenue transactions, customers, disputes, and product catalogs. This means your daily reports can include MRR, churn, failed payments, and revenue trends alongside product metrics.

OpsTower connects to Axiom, AWS CloudWatch, Cloudflare Logging, and Google Cloud Logging. If your team's logs live in one of these systems, the Alert and Debugger agents can query them directly.

Current database integrations include ClickHouse, MongoDB, Cloudflare D1, Supabase, PostgreSQL / MySQL, DynamoDB, and Firestore. When a Debugger Agent investigates an issue, it can query your database directly to ground its findings in real records rather than just log lines and analytics signals.

Yes. OpsTower connects to Linear and Jira Cloud as ticketing integrations. Agents can search existing issues via filters or JQL, view issue details, list teams/boards/sprints and labels, and create new issues directly. You can also enable auto-ticketing on Systems Operations reports — when the report agent finds issues overnight, it automatically creates tickets with the right team, priority, and evidence attached.

Yes. OpsTower connects to GitHub, Bitbucket Cloud, and GitLab for source code context. Agents can browse repositories, read files, search code, inspect commits and diffs, and review pull/merge requests. Bitbucket and GitLab also include pipeline (CI/CD) monitoring. This is especially useful for correlating production symptoms with specific code changes.

Yes. OpsTower connects to X (Twitter), LinkedIn, and Facebook & Instagram. Agents can pull engagement metrics, recent posts, page insights, Instagram media analytics, and mentions, then correlate social activity with product analytics — for example, attributing a traffic spike to a high-engagement post.

Yes. OpsTower connects to Meta Ads (Facebook + Instagram) and Google Ads. Agents can list campaigns, query performance insights (impressions, reach, spend, CTR, ROAS), and break down metrics by platform, age, gender, or region. This lets you correlate paid acquisition with product analytics in a single conversation.

Yes. OpsTower connects to both Intercom and Zendesk. Agents can search support tickets and conversations, analyze CSAT ratings, review performance metrics (first reply time, resolution time), browse help center articles, and look up customer organizations. This lets you correlate customer support trends with product analytics and error tracking in a single conversation.

Yes. OpsTower connects to Apple App Store Connect for iOS and macOS app data. Agents can list your apps, query customer reviews with filtering by star rating and territory, and analyze review sentiment trends. This is especially useful for correlating app store feedback with product analytics in daily reports. You provide three credentials (Issuer ID, Key ID, and .p8 private key) — no OAuth flow required.

Yes. OpsTower's External API connection lets you integrate any REST API — internal microservices, third-party SaaS platforms, or partner data feeds. Provide a base URL, choose an authentication method (Bearer token, API key header, Basic Auth, query parameter, or no auth), and optionally link to the API docs so agents can discover endpoints at runtime. Authentication is handled automatically and all requests include SSRF protection.

You can use the External API connection to integrate any service with a REST API right now — no need to wait for a dedicated integration. Provide the base URL, credentials, and optional API documentation, and your agents can start querying immediately. For services that would benefit from a deeper, purpose-built integration, sign in and let us know — feedback from real teams is how the integration roadmap gets prioritized.

OpsTower only queries the data sources you explicitly connect and grant access to. Each agent only has visibility into the integrations you assign it. Nothing is accessed without your configuration — there is no passive data collection outside of what the agents need to run the specific jobs you ask them to run.

OpsTower stores agent outputs — reports and investigation summaries — so you can revisit findings. Raw source data from your integrations is queried at run time and not permanently stored. Credentials and access tokens are encrypted at rest and never exposed in logs or outputs.

OpsTower runs on Cloudflare's global infrastructure, which provides edge-native security, DDoS protection, and encryption in transit by default. All stored credentials use industry-standard encryption. The architecture is designed to minimize the surface area of what is held versus what is queried transiently.

Yes. Each agent has its own set of assigned integrations. A Debugger Agent focused on the payments flow does not need access to your full analytics history, and you can configure it that way. Scoping agent access is a first-class feature, not an afterthought.

OpsTower is currently in early access. Sign in to get started and see current plan details. Pricing is designed with lean startup teams in mind — the goal is to be something a two-person founding team can justify before the Series A.

Early access includes a trial period so you can connect integrations, run your first agents, and get a feel for the daily reporting workflow before making any commitment. Sign in to see what is currently available.

No. OpsTower is designed for the pace of early-stage startups — that means no long-term contracts, no surprise overages, and no enterprise sales process standing between you and a working integration.