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Notis

Connect Ai ml api to Datadog

When something happens in Ai ml api, Notis takes the next step in Datadog. Describe what you want in plain English, or start from one of the examples below.

When this happens · Trigger

Do this · Action

Examples

Ways Notis can move work from Ai ml api to Datadog

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Turn AI risk reviews into Datadog monitors

Send an AI-generated risk assessment to Notis and create a Datadog monitor for the specific service or metric it identifies.

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Summarize Datadog log patterns with AI

On a schedule, use AI to analyze Datadog log aggregates for counts, trends, percentiles, and grouped patterns, then report a concise summary.

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Record AI-reviewed deployment events in Datadog

Submit a deployment note for AI review, then create a Datadog event with the confirmed change details and relevant context.

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Get an AI brief on Datadog usage

On a schedule, review Datadog's usage summary with AI and report the available billable usage metrics and notable changes.

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Create synthetic API checks from endpoint reviews

Submit an AI-reviewed API endpoint specification and create a Datadog Synthetic API Test when the endpoint and test intent are clear.

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Get an AI digest of Datadog change events

On a schedule, review Datadog events with AI and summarize deployments, outages, and configuration changes in the requested time range.

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Build Datadog dashboards from AI monitoring plans

Submit a monitoring plan for AI review and create a Datadog dashboard based on the services, metrics, and views it clearly specifies.

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Review Datadog SLO coverage with AI

On a schedule, review Datadog SLOs with AI and summarize the objectives and reliability coverage returned by Datadog.

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Schedule Datadog downtime from maintenance plans

Submit a reviewed maintenance plan and create a Datadog downtime for the stated window to suppress alerts during planned work.

Supported Triggers and Actions

Notis builds workflows that link Ai ml api to Datadog. A trigger fires from one place; an action lands in another.

Ai ml api triggers

Datadog actions

Recurring trigger

Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.

TriggerScheduled

Create Dashboard

Creates a dashboard for viewing infrastructure, application, or business metrics.

ActionInstant

Webhook trigger

Notis starts this workflow when an external tool or custom backend sends an HTTP request.

TriggerInstant

Aggregate logs

Aggregates logs into counts, statistics, groupings or trends without downloading raw events.

ActionInstant

Create downtime

Creates downtime to silence alerts during maintenance or planned outages.

ActionInstant

Create event

Creates an event to record an important occurrence, such as a deployment or outage.

ActionInstant

Create monitor

Creates a monitor to track data and trigger alerts.

ActionInstant

Create On-Call escalation policy

Creates an on-call escalation policy.

ActionInstant

Create SLO

Creates a service level objective to track service reliability targets.

ActionInstant

Create Synthetic API Test

Creates a synthetic API test to monitor API availability and performance from multiple locations.

ActionInstant
Trigger Types

Four ways to start an automation.

A trigger is the event that kicks a workflow off. Notis supports four kinds: an event in a connected app, an inbound webhook, a recurring schedule, and soon, your own database.

Integration triggers

Fire when something happens inside a connected app. New Notion page, Stripe charge, Linear issue: any of 1,000+ apps can start a workflow.

New Notion pageStripe chargeCalendar event

Webhook triggers

A unique URL per workflow. Anything that can send an HTTP POST can start an automation, including no-code tools that speak webhooks.

Any HTTP POSTCustom backendIoT event
Works with
ZapierPipedream
Most used

Recurring triggers

Cron-style schedules run a workflow on the clock. Daily standups, hourly syncs, business-hours-only digests: the workhorse of Notis.

Daily · 8:00HourlyWeekdays only
Coming soon

Database triggers

Watch a row, query, or threshold in your own database and fire the moment the data changes. Row inserted, value crosses a limit, query starts matching.

Row insertedValue > limitQuery match
Why AI automation

Classic automation breaks. AI adapts.

Same triggers and actions, smarter middle. AI handles the fuzziness that breaks traditional Zapier-style workflows the moment a field gets renamed.

Classic automationAI automation
Cost
$ · pay per run
$$ · AI models per run
Reliability
Breaks on schema change
Adapts to format changes
Setup
Click 8 dropdowns
Describe it in English
Handles fuzzy
Hard-coded fields only
Reads intent, summarises
Human in loop
Bolted on
Built in · approval inbox
Maintenance
You own every break
Self-heals · we own it
Ease of use

Describe it. Notis builds it.

Skip the visual builder. Tell Notis what you want, in plain English. It writes the workflow, you review and deploy.

Notis

You · in the Notis Builder

NEW

“When a row gets added to the Q4 OKRs Notion database and the status is Blocked, send a Telegram message to the owner with a summary of what's blocking, and ping me if there's no reply within 24 hours.”

Notis built this automation:

TriggerRow added to "Q4 OKRs"
Condition✦Status = "Blocked"
AI step✦Summarise the blocker in plain English
ActionDM the row owner with summary
Timeout✦No reply in 24h → ping you
Observability

Watch every run.

Notis Desktop is Mission Control for your AI automations. See every run, replay, edit, or rewind. Set approval gates so Notis pauses before destructive actions.

  • Full run history with inputs, outputs and traces
  • Replay any run with edited inputs
  • Approval inbox, confirm via chat in one tap
  • Audit logs for compliance teams

Automations

Inbox

All12Manager5Telegram1Messages0Whatsapp2Email4Slack8

Migrate background jobs to a durable queue You can cancel it through Stripe

3 days

Notis v3 release update This one’s v3: Notis Manager (desktop app with …

8 days

Add multi-tenant RBAC User initiates a voice call

13 days

Draft pricing v (tiers, limits, overages) and sanity-check margins

2 weeks

Verify analytics events for new features That’s a really interesting automat…

1 month

Everything in the box.

Whatever starts the workflow, the platform underneath is the same: a thinking brain, full visibility, and you in control.

AI in the middle

Every step can include an LLM call: summarise, classify, extract, rewrite.

Full observability

Every run, every step, every input, all replay-able from Mission Control.

Human in the loop

Pause for approval. Notis pings you in chat with one-tap approve.

Self-healing

When an API changes shape, Notis adapts the parser. Less midnight fire-fighting.

Related pairs

More ways to connect Ai ml api and Datadog

Connect any two apps with Notis in the middle.

Ai ml api and Datadog, or any other combination from 1,000+ integrations.

When this happens · Trigger

Do this · Action

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