Get suggestions for incomplete company mentions
Send partial company text from your research workflow and let Notis return suggestions that can clarify the intended match.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Autocomplete field suggestions
Provides autocompletion suggestions for a specific field (e.g., company, skill, title) based on partial text input.
Why this helps
A shortened company name or partial mention can interrupt research while you work out which organization it means.
- Get suggestions from partial text when a research mention is incomplete.
- Resolve likely company names before deeper lookup.
- Avoid context switching to manually search several spelling variations.
Setup
Build it in a few focused steps.
- 1Connect Openperplex and People Data Labs to Notis once in the portal.
- 2Create an automation in the portal or ask Notis conversationally to suggest company matches.
- 3Write one plain-language instruction telling Notis to request People Data Labs autocomplete suggestions for partial company text sent by your research backend.
- 4Choose an incoming webhook trigger and a channel for run reports.
- 5Test with one real partial company name and review whether the suggestions are useful.
Questions about this workflow
Does autocomplete verify the company?
It provides suggestions based on partial text. Use company cleaning or enrichment when you need standardized or additional company data.
Can this work with other fields?
The action provides suggestions for a specific field, such as company, skill, or title.
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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