Screen Companies from an AI Research Request
Turn a plain-language company hypothesis into a focused screening run.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Screener company information
Finds companies matching criteria such as headcount, growth, or funding.
Why this helps
Company research can sprawl across tabs before a founder knows which organizations merit attention.
- Put research criteria to work against company data
- Surface organizations that fit a stated hypothesis
- Keep the screening summary with the originating request
Setup
Build it in a few focused steps.
- 1Connect Ai ml api and Crustdata once in the Notis portal.
- 2Create an automation in Automations, New Automation, and name it for company screening.
- 3Tell Notis to screen companies in Crustdata using the criteria in each incoming AI research request and summarize the results.
- 4Choose the webhook trigger and select where run reports should go.
- 5Test with one real research request and inspect the company matches.
Questions about this workflow
What kinds of criteria can I send?
Send the criteria your research workflow has prepared. Crustdata's company screener supports searches based on company characteristics such as headcount, growth, and funding.
Will it discover every company matching the idea?
The workflow reports the results returned by Crustdata for the supplied criteria; it cannot guarantee complete coverage.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Ai ml api to Crustdata. A trigger fires from one place; an action lands in another.
Ai ml api triggers
Crustdata actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Enrich person screener
Enriches a person’s profile with additional information.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Fetch headcount by facet timeseries
Retrieves headcount data over time, grouped by selected facets.
Fetch investor portfolio data
Finds companies whose investor list includes a specified investor and returns funding summaries.
Filter decision makers data
Filters and retrieves decision-maker data across organizations.
Post funding milestone timeseries data
Retrieves time-based data about company funding milestones.
Post headcount timeseries data
Retrieves historical headcount data to help analyze workforce trends.
Post job listings table data
Searches indexed job listings.
Post web traffic data
Retrieves web traffic data for analysis and reporting.
Connect any two apps with Notis in the middle.
Ai ml api and Crustdata, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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