Connect Re amaze and Crustdata to power automations.

Trigger from one app, act on another, with a thinking brain in the middle. Build it in plain English. Approve from your phone.

When this happens · Trigger

Do this · Action

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Supported Triggers and Actions

Notis builds workflows that link Re amaze to Crustdata. A trigger fires from one place; an action lands in another.

Re amaze triggers

Crustdata actions

No triggers available yet

Enrich person screener

The screener person enrich endpoint enriches person data by providing additional information based on the given query. it allows users to retrieve detailed information about individuals, which can be useful for various purposes such as customer profiling, lead generation, or data verification. this endpoint should be used when you need to augment existing person data with additional details or verify information about a specific individual. the enrichment process draws from crustdata's extensive database and real-time data sources to provide up-to-date and comprehensive information. users can customize the response by specifying the exact fields they need, optimizing data transfer and processing. note that the availability and accuracy of enriched data may vary depending on the input provided and the information available in crustdata's systems.

ActionInstant

Fetch headcount by facet timeseries

Retrieves headcount data as a timeseries with faceted analysis capabilities. this endpoint allows users to fetch detailed headcount information over time, applying complex filters, pagination, and sorting. it's particularly useful for hr analytics, workforce planning, and organizational growth analysis. the endpoint supports nested logical operations in its filtering mechanism, enabling highly specific queries. users can paginate through large datasets and sort results based on multiple criteria. while powerful, this endpoint requires careful construction of the filters parameter to ensure accurate data retrieval. it should be used when detailed, time-based headcount analysis is needed, but may not be suitable for simple, non-time-series headcount queries or for real-time data needs due to its complexity.

ActionInstant

Fetch investor portfolio data

Retrieves comprehensive investor portfolio data from the data lab section of the crustdata api. this endpoint provides access to detailed information about investor portfolios, including investment holdings, performance metrics, and other relevant data points. it is designed to support investment analysis, portfolio management, and decision-making processes in a b2b context. the endpoint should be used when detailed investor portfolio information is required for tasks such as investment screening, performance tracking, or generating analytical reports. it's important to note that this endpoint may not provide real-time data and the frequency of updates should be verified in the api documentation. additionally, users should be aware of any data privacy and usage restrictions that may apply to the retrieved investor information.

ActionInstant

Filter decision makers data

Filters and retrieves decision maker data from the crustdata b2b saas integration platform based on complex criteria. this endpoint allows for advanced querying of decision maker information using a combination of filters, pagination, sorting, and title-based filtering. it's designed for scenarios where specific subsets of decision maker data need to be extracted or analyzed. the endpoint supports nested logical conditions in filters, enabling highly targeted data retrieval. use this when you need to perform detailed analysis or reporting on decision makers across various organizations or industries. note that the endpoint requires careful structuring of the request body to effectively utilize its advanced filtering capabilities.

ActionInstant

Post funding milestone timeseries data

The fundingmilestonetimeseries endpoint retrieves time-series data related to funding milestones for companies. it allows for complex querying of funding events over time, with flexible filtering, pagination, and sorting options. this endpoint is particularly useful for analyzing funding trends, comparing company funding histories, or tracking specific funding events across multiple organizations. the data returned is based on the specified filters and can be tailored to focus on particular time ranges, funding stages, or company characteristics. while it provides comprehensive funding milestone data, it does not include detailed company information beyond what's directly related to funding events.

ActionInstant

Post headcount timeseries data

Retrieves filtered and sorted headcount timeseries data from the crustdata data lab. this endpoint allows for complex querying of historical headcount information, enabling users to analyze workforce trends over time. it supports advanced filtering with nested conditions, pagination for handling large datasets, and customizable sorting. ideal for generating reports, conducting workforce analysis, or integrating headcount data into third-party business intelligence tools. note that the specifics of the returned data structure are not provided in the given schema.

ActionInstant

Post job listings table data

This endpoint retrieves filtered and sorted job listings data for specified company tickers from a chosen dataset in the crustdata platform. it allows for highly customizable queries with complex filtering conditions, pagination, and sorting options. the endpoint is designed for bulk data retrieval and analysis of job market trends across multiple companies. use this endpoint when you need to fetch and analyze job listing data for specific companies, apply custom filters to narrow down the results, or when you want to paginate through large sets of job data. it's particularly useful for market research, competitive analysis, or tracking employment trends in specific industries or companies. note that this endpoint requires careful construction of the request body, especially for the filters parameter, which can support nested logical conditions. the performance and response time may vary depending on the complexity of the filters and the amount of data requested.

ActionInstant

Post web traffic data

Retrieves filtered and sorted web traffic data from the crustdata platform. this endpoint allows for complex querying of web traffic information using nested conditions and logical operators. it supports pagination for handling large datasets and provides sorting capabilities for customized data presentation. use this endpoint when you need to analyze web traffic patterns, filter data based on specific criteria, or extract insights from your web analytics. the endpoint is particularly useful for generating reports, identifying trends, or monitoring key performance indicators related to web traffic.

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.

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.