Datadog

Datadog Integrations, Built by an AI Agent

Put Datadog to work with AI and enterprise-grade automation

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Need something Datadog's pre-built connector doesn't cover?

Describe the extra endpoint you need — the Agent researches it via a live web search (or works from docs you hand over) and extends Datadog's connector on demand.

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Not a block library. Real code.

Legacy automation tools like Zapier, Workato, and Make hand you a fixed library of pre-built steps to drag, drop, and configure around the edges. Knit's Integrations Agent writes real, custom Datadog integration code for your exact logic.

Legacy iPaaS

  • Fixed library of pre-built steps — drag, drop, configure around the edges
  • Capped by whatever the vendor's already built
  • AI features bolted on after the fact

Knit Integrations Agent

  • Real, inspectable code for your exact Datadog logic
  • Auto-builds a missing Datadog connector itself
  • Native LLM connectors built in, not bolted on
Prompt "When Datadog raises a new alert, post it to the on-call channel in Slack."
from knit import Knit

client = Knit(api_key=KNIT_API_KEY)

@client.on("new-alert")
def create_incident(event):
    return client.monitoring_&_incident_management.create_incident(
        integration_id=DATADOG_INTEGRATION_ID,
        record_id=event["id"],
        fields={
            "source": "Datadog",
            "synced_at": event["updated_at"],
        },
        # ...maps the event to a real "Create incident" call
    )

Example: illustrative of what the Agent generates from a plain-English prompt — real, inspectable, and yours to edit.

See the APIs & webhooks enabling Datadog Integrations

The real endpoints Knit's Agent can call to turn a plain-English use case into working Datadog Integration code

New Metric Post

This covers the data that you want to send to Datadog.

API Request (Beta)

This is an advanced action which makes a raw HTTP request that includes this integration's authentication.

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Developer, Multiplier
A brilliant tool to let you seamlessly integrate with many different systems. It is very easy to integrate with and customer support is next level.
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Jayesh
Co-Founder, Scrut
Seamless integration experience. Well-documented, self-explanatory APIs, and excellent service and support.
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Poorvi
Product Manager, Onsurity
Easy to integrate. Knit's dashboard is intuitive for setting up and testing integrations, and the sandbox is extremely useful during development.
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Aditya
Product Lead, RazorpayXPayroll
Knit shipped a brand-new Timesheet API in a week and handed us a ready-to-use NetSuite sandbox. That velocity is priceless when you're running payroll in 40+ countries.
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Rohit Singh
GM, Payoneer Workforce Management

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FAQ

Common questions about Datadog integrations

Is there a pre-built Datadog connector?

Yes — Datadog is already live in Knit's Unified API/MCP Servers catalog. This page is about what you can build with it (integrations and automations), not the technical API coverage itself — see the Datadog product page for that.

How do I build a custom Datadog automation?

Describe what you want above and the Integrations Agent builds it, using Datadog's existing connector or researching further API surface as needed.

Which apps does Datadog pair well with?

See the popular integrations above — real automations already live, plus more the Agent can build on demand.

How long does a new automation take to build?

Minutes to build a first working version, not weeks — you test it against real Datadog data before it goes anywhere near production.

See all FAQs

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