Connect Notion to Artificial Analysis
When something happens in Notion, Notis takes the next step in Artificial Analysis. Describe what you want in plain English, or start from one of the examples below.
When this happens · Trigger
Do this · Action
Ways Notis can move work from Notion to Artificial Analysis
View exampleBuild a model shortlist from a new Notion evaluation
When an evaluation page is added to Notion, search Artificial Analysis for models that match its stated quality, speed, and cost priorities.
View exampleCompare providers when a Notion discussion starts
When a new Notion comment raises a provider question, retrieve provider comparisons to help the team evaluate availability and benchmark performance.
View exampleCheck cost per task after a budget update
When a Notion page property changes to reflect a new budget or cost constraint, retrieve cost-per-task comparisons for the relevant AI task.
View exampleGet model details when an evaluation changes
When the body of a Notion evaluation page changes, retrieve detailed specifications for the model being considered.
View exampleReview hardware benchmarks when a Notion schema changes
When a Notion data source schema changes, retrieve hardware benchmark context for relevant AI infrastructure planning records.
View exampleAnswer a model cost question in Notion
When a comment is added to a specified model evaluation page, retrieve the cost per task for the model under discussion.
View exampleResearch models for each new AI experiment
When a new Notion page is created for an AI experiment, search for models aligned with its task and evaluation criteria.
View exampleReview providers for a new project subpage
When a subpage is added beneath a specified AI project page, retrieve provider comparisons relevant to its stated plan.
View exampleCatch new cost research anywhere in Notion
When any Notion page is created or updated, use relevant AI task cost notes to retrieve a cost-per-task comparison.
Supported Triggers and Actions
Notis builds workflows that link Notion to Artificial Analysis. A trigger fires from one place; an action lands in another.
Notion triggers
Artificial Analysis actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Search models
Compare and rank LLM models and providers across performance benchmarks, then dive into detailed specifications for any model to find the best fit for your needs. Discover performance metrics for specialized AI systems handling speech, images, and video, plus benchmark data for different hardware configurations.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Get model providers
Compare and rank LLM models and providers across performance benchmarks, then dive into detailed specifications for any model to find the best fit for your needs. Discover performance metrics for specialized AI systems handling speech, images, and video, plus benchmark data for different hardware configurations.
All Page Events
Triggers when any Notion page is created or updated across the workspace.
Get model detail
Compare and rank LLM models and providers across performance benchmarks, then dive into detailed specifications for any model to find the best fit for your needs. Discover performance metrics for specialized AI systems handling speech, images, and video, plus benchmark data for different hardware configurations.
Comment Created
Triggers when a new comment is created in Notion. Optional `page_id` filter scopes to comments on a specific page. When omitted, fires for any new comment in the workspace the integration has access to. Requires the 'Read comments' capability on the Notion integration. If a connection was authorized before that capability was enabled, the user must re-authorize the connection for comment events to flow.
Get hardware benchmarks
Compare and rank LLM models and providers across performance benchmarks, then dive into detailed specifications for any model to find the best fit for your needs. Discover performance metrics for specialized AI systems handling speech, images, and video, plus benchmark data for different hardware configurations.
New Comment
Triggers when a new comment is added to a specified Notion block or page.
Get cost per task
Compare and rank LLM models and providers across performance benchmarks, then dive into detailed specifications for any model to find the best fit for your needs. Discover performance metrics for specialized AI systems handling speech, images, and video, plus benchmark data for different hardware configurations.
Database Created
Triggers when a new Notion database (the container) is created. A database is the post-2025-09-03 container that holds one or more data sources. This trigger fires for the container's creation event (`database.created`), distinct from `NOTION_DATASOURCE_CREATED` which fires when a new data source is added to an existing database. Most customers calling Notion's `POST /v1/databases` (the legacy API) or creating a database via the Notion UI will see this event. Adding a new data source to an existing database fires `data_source.created` instead — use `NOTION_DATASOURCE_CREATED` for that. Notion's payload puts `entity.type: "block"` (the container is a `child_database` block in the content tree) and `entity.id` is the database id.
Get model cost per task
Compare and rank LLM models and providers across performance benchmarks, then dive into detailed specifications for any model to find the best fit for your needs. Discover performance metrics for specialized AI systems handling speech, images, and video, plus benchmark data for different hardware configurations.
Data Source Created
Triggers when a new Notion data source is created. Fires workspace-wide. The payload's `data.parent` carries the data source's tree parent (typically the teamspace) for downstream filtering. A single template-based database creation can fire multiple `data_source.created` events at once — one per data source the template instantiates.
Data Source Schema Updated
Triggers when a Notion data source's schema is updated. Fires on column add / remove / rename. Payload includes `data.updated_properties: [{id, name, action}]` so consumers can discriminate the kind of change downstream. Optional `data_source_id` filter scopes to schema changes on a single data source. When omitted, fires for any schema change in the workspace the integration has access to. Note: adding a column also fires `page.properties_updated` once per existing row in the data source. Customers wanting a single structural-change signal should use this trigger.
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.
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.
Recurring triggers
Cron-style schedules run a workflow on the clock. Daily standups, hourly syncs, business-hours-only digests: the workhorse of Notis.
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.
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.
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.
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:
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
Migrate background jobs to a durable queue You can cancel it through Stripe
3 daysNotis v3 release update This one’s v3: Notis Manager (desktop app with …
8 daysAdd multi-tenant RBAC User initiates a voice call
13 daysDraft pricing v (tiers, limits, overages) and sanity-check margins
2 weeksVerify analytics events for new features That’s a really interesting automat…
1 monthEverything 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.
More ways to connect Notion and Artificial Analysis
Connect any two apps with Notis in the middle.
Notion and Artificial Analysis, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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