Make researched company names consistent
Send a company mention from your research workflow and let Notis clean the details before they spread across your notes.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Clean company data
Cleans and standardizes company information based on a name, website, or profile url; providing at least one of these inputs is highly recommended for meaningful results.
Why this helps
Inconsistent spellings and company aliases make it harder to recognize when two research notes refer to the same business.
- Standardize company details at the point your backend sends them.
- Make follow-up research easier to compare across notes.
- Avoid spending attention on formatting and alias cleanup.
Setup
Build it in a few focused steps.
- 1Connect Openperplex and People Data Labs to Notis once in the portal.
- 2Create an automation through the portal or by asking Notis in plain language.
- 3In one instruction, tell Notis to clean each company name or website received from your research backend and return the standardized details.
- 4Select an incoming webhook trigger and a reporting channel.
- 5Send a real company example and confirm the cleaned result is usable.
Questions about this workflow
When should I use this instead of enrichment?
Use cleaning when you mainly need standardized company information. Use enrichment when you need additional company details such as firmographics.
Can the request contain just a company name?
Yes. A name, website, or profile URL is recommended as an identifier for meaningful results.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Openperplex to Peopledatalabs. A trigger fires from one place; an action lands in another.
Openperplex triggers
Peopledatalabs actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Autocomplete field suggestions
Provides autocompletion suggestions for a specific field (e.g., company, skill, title) based on partial text input.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Clean company data
Cleans and standardizes company information based on a name, website, or profile url; providing at least one of these inputs is highly recommended for meaningful results.
Clean location data
Cleans and standardizes a raw, unformatted location string into a structured representation, provided the input is a recognizable geographical place.
Clean school data
Cleans and standardizes school information; provide at least one of the school's name, website, or profile for optimal results.
Person Search with Elasticsearch
Performs a search for person profiles within people data labs using a custom elasticsearch domain specific language (dsl) query. this action allows for detailed and complex filtering based on various attributes of a person's profile, such as job title, skills, location, experience, and more. results can be paginated using the `size` and `scroll token` parameters. preconditions: - the `query` parameter must contain a valid elasticsearch dsl query string, structured as a json object. - if the `dataset` parameter is specified, it must be one of the allowed values: 'resume', 'email', 'phone', 'mobile phone', 'street address', 'consumer social', 'developer', 'all'. - note: this action queries the people data labs person search endpoint (`/v5/person/search`) and returns person records.
Enrich Company Data
Enriches company data from people data labs with details like firmographics and employee counts, requiring at least one company identifier.
Enrich IP Data
Enriches an ip address with company, location, metadata, and person data from people data labs.
Enrich job title data
Enhances a job title by providing additional contextual information and details.
Connect any two apps with Notis in the middle.
Openperplex and Peopledatalabs, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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