Ask Claude or ChatGPT what is alerting, what the logs say and what Datadog costs you, with a connection that only reads.
Read from Datadog when someone asks. Nothing exported, nothing copied, and nothing in Datadog ever changes.
Which monitors are alerting right now, and what are they watching?
How many 500 errors did the API log per hour yesterday, by service?
What did Datadog cost us last month by product, and which team spent the most?
The Datadog connection has no write actions. Nothing in Datadog changes because someone asked a question.
Datadog holds two things people keep asking about: what is broken right now, and why the bill went up. Engineers dig through monitors and logs, and finance waits for someone to export usage. Connected once, both can ask in plain English, and nothing in Datadog can be changed.
An admin connects Datadog one time. Nobody hands over a personal login.
Each answer is read at the moment of the question. Nothing is exported or copied, so there is nothing to keep in sync.
What each role can see and do holds in every AI your team uses, and in your own agents.
Every question and every action, by every person and agent, in one audit trail.
No. The Datadog connection is read-only: no monitor changes, mutes, downtimes or log configuration, and it cannot publish events.
As current as Datadog's own. A month's cost is final by the 16th of the next month, estimates trail usage by up to 72 hours, and a projection is a forecast that moves. Every cost answer says how final it is, so a month that is still open is not mistaken for zero.
An API key and an application key, both from the Datadog site your organization lives on. Cost figures also need keys from the parent organization with usage and billing read access.
Yes, and one built for a whole company. FrontierOps gives Claude, ChatGPT and any other MCP client one connection to Datadog, set up once by an admin. What each role can read or change is decided in FrontierOps, and every call is on record, instead of each person running their own server with their own login.
A direct connection links one AI to Datadog through one person’s login, with that person’s settings. That works for one person. For a team it means no shared definitions, no single place to decide who can see or change what, and starting over when you switch AI. Through FrontierOps, Datadog is connected once, for every AI and every agent, under one set of permissions, with every call on record.