Understand skills your market is asking for
Set Notis to review a topic regularly, identify relevant skills, and retrieve consistent detail for each one.
Trigger
Recurring schedule
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Action
Enrich skill data
Retrieves detailed, standardized information for a given skill by querying the people data labs skill enrichment api; for best results, provide a recognized professional skill or area of expertise.
Why this helps
New skill terms can appear in customer conversations and job postings without enough context to know what they mean.
- Add standardized information to skills that surface in research.
- Spot recurring skill language without keeping a manual glossary.
- Make product and audience discussions more grounded in current terminology.
Setup
Build it in a few focused steps.
- 1Connect Openperplex and People Data Labs to Notis once in the portal.
- 2Create a scheduled automation in the portal or ask Notis conversationally to review skills in a chosen market.
- 3Write one instruction asking Notis to research the topic, identify relevant professional skills, and retrieve People Data Labs details for each.
- 4Choose a recurring schedule and a channel for run reports.
- 5Test with one recognized skill from your market and review the returned information.
Questions about this workflow
What kinds of skills work best?
Use a recognized professional skill or area of expertise for the most useful result.
Does this search for people with the skills?
No. The action retrieves standardized information about a skill. A people search is a separate action.
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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