You ask Claude and ChatGPT about everything. They draft your emails, write your code, plan your week. But ask them about your own numbers, your ROAS, your contribution margin, your best-performing ad, and they struggle. Here’s why that was inevitable, and what we built to end it.
Why your AI can’t answer the one question that matters
It’s not a model problem. It’s a data problem.
Connect your agent to an ad platform, and what it reads are the platform’s own claims, numbers that are systematically inflated, because every platform attributes your sales to itself. Connect it to your shop backend, and it sees orders, but no ad costs, no shipping logic, no payment fees, no margin. No source your agent can reach holds the truth, because the truth doesn’t live in any single system. It emerges when all of them are merged, deduplicated, and run through real cost logic.
Fragments everywhere. Truth out of reach.
So people do what people do: export a CSV, paste it into a chat window, and hope the model adds it up correctly. That’s not analytics. That’s gambling with extra steps.
The missing link
Mission Intelligence is the Admetrics MCP server: validated marketing analytics, delivered directly to your agents, in Claude, in ChatGPT, in Codex, in any automation platform that speaks MCP. And through our new developer portal, to everything else: your warehouse, your apps, your automations.
Everything you see in Admetrics, your agents can now pull. Profitability. Product analytics. Attribution. From account level down to every campaign, every ad set, every single ad, fully flexible, in real time.
Talk to your data
The first thing that changes is the most human one: you can finally ask.
“How did my contribution margin develop last week, and which channel is responsible?” “Which products carried the quarter?” “Show me the worst-performing ads in that campaign.” Your LLM becomes your analyst: it queries live Admetrics data, gets validated numbers back, and reasons over them, comparisons, anomalies, follow-up questions, as deep as you want to drill.
And every answer knows how fresh it is. Data-freshness markers travel with the numbers, last sync per source, expected lag, and a clear “stale” flag when something hasn’t updated. “Meta spend updated 2 hours ago, shop orders 5 minutes ago” is part of the answer, not something you have to wonder about.
Or set your agents loose
Answering questions is the beginning. The real shift is what your agents do without being asked.
A morning briefing that lands in Slack at 6:30, yesterday’s revenue, spend, and margin, with the one anomaly worth your attention. A budget guard that watches pacing all day and flags the campaign that’s running 34% over plan. A margin alert the moment CM2 on a hero product slips below threshold. Full workflows, running autonomously, on true numbers instead of platform claims.
You decide what they’re allowed to do. They do it around the clock.
Protected from hallucination — by design
The obvious question: what stops an LLM from making numbers up?
Architecture does. Mission Intelligence is built so that guessing is not an available move:
A governed catalog. Your agent can’t invent a metric. Every metric and dimension it can query is a stable, versioned ID from the Admetrics catalog, the same definitions that power your dashboards. When your agent reports contribution margin, it’s your contribution margin, calculated the way your account defines it.
Validation before execution. Every query is checked against the catalog before it runs. Invalid metric? Impossible dimension combination? The query never executes. Errors are caught at the gate, not discovered in the answer.
Scoped access. Agents operate under your permissions, OAuth-secured, with secrets kept server-side. An agent sees exactly what you’re allowed to see, and nothing else.
Freshness, declared. Every number carries its sync status. Your agent doesn’t just know the value, it knows how current the value is, and says so.
No black box. The same standard we hold every part of Admetrics to: if you can’t check it, you shouldn’t have to trust it.
For everything you build
Chat tools are where most people will start. The developer portal is where it gets bigger.
The same validated analytics layer is available over REST, for your data warehouse, your internal apps, your BI stack, your custom automations. Stable metric contracts, the same validation, the same governance. Whether it’s an agent in Claude or a pipeline in your warehouse: one source, one set of definitions, one truth.
Docs, the full catalog, and working examples are live at developers.admetrics.io.
One source. One truth. In every tool.
Marketing data has spent a decade locked in dashboards, visited occasionally, exported reluctantly, argued about constantly. Mission Intelligence ends the visiting. Your numbers now live wherever you work: in your chat, in your agents, in your stack.
Mission Intelligence is live now, in Admetrics. Connect your first agent in minutes at developers.admetrics.io.
