Why we don't charge per query

Most AI analytics tools charge you per query, per AI credit, or per token. The more questions your team asks, the more you pay. We think that's backwards.

The problem with paying per question

When analytics costs money per question, people stop asking questions. Not consciously. But there's a mental tax: “Is this question worth the credit?” “Should I wait and batch my questions?” “My colleague already asked something similar, I'll just use their answer.”

This is the opposite of self-serve analytics. The whole point is that anyone on your team can ask any question at any time. Usage-based pricing adds friction to the thing you're trying to make frictionless.

It also makes costs unpredictable. Your finance team asks you how much the analytics tool will cost next month. The honest answer is: “Depends on how many questions people ask.” That's not a budget. That's a guess.

Why other tools charge this way

Most AI analytics platforms run the AI for you. When you ask a question, their servers process it through their LLM, generate SQL, run the query, and return the answer. They're paying for the AI inference on every question. So they pass that cost to you, usually marked up, as “AI credits” or “compute units.”

This means you're paying twice for AI: once for your Claude or ChatGPT subscription, and again every time the analytics tool uses AI on your behalf.

How Contextflo works differently

Contextflo doesn't run the AI. We connect your AI to your data.

Your team already uses Claude. Contextflo gives Claude the context it needs to understand your database: table relationships, column descriptions, metric definitions, and business logic. When someone asks a question, Claude generates the SQL, Contextflo runs it against your database, and the answer comes back. The AI inference happens on your existing Claude subscription, not on our servers.

We call this Bring Your Own Agent. You bring the AI. We bring the context layer that makes it actually work with your data.

Flat pricing that makes sense

Because we don't pay for AI inference per question, we can charge a flat rate. Contextflo starts at $1,000/month. Your team can ask 100 questions or 10,000 questions. Same price.

At Tilt, their team ran 4,000+ queries in the first month. With per-query pricing, that kind of adoption would have been expensive. With flat pricing, it's just the team getting value from their data.

Your agent, your choice

Bring Your Own Agent also means you're not locked in. Contextflo works with Claude today. As new models emerge, the context layer stays the same. Your table definitions, business logic, and metric formulas don't need to be rebuilt. The AI changes. Your data context doesn't.

Compare this to tools that bundle AI into the platform. When they switch models or deprecate features, your workflows break. When pricing changes on their AI layer, your costs change with it. You're coupled to their decisions about which model to run and how much to charge for it.

With BYOA, you control the AI. We control the context. Each layer does what it's good at.

The bottom line

Analytics should get cheaper as your team uses it more, not more expensive. Flat pricing removes the mental tax on asking questions. Bring Your Own Agent removes the double-charge for AI you already pay for.

Starts at $1,000/month. Unlimited questions. No credits to track.