Put a clear profile behind an expert mention
When your research surfaces a speaker or expert, resolve the identity before adding a follow-up to your queue.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Identify person data
Retrieves detailed profile information for an individual from people data labs (pdl), requiring at least one identifier such as email, phone, profile url, name, or company.
Why this helps
A promising expert mention can be forgotten while you check whether the profile belongs to the right person.
- Resolve expert mentions against available identity details.
- Review a richer profile before deciding on outreach.
- Keep follow-up from getting lost in a separate identity-check task.
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 resolve experts found by research.
- 3Write one prompt asking Notis to identify each person sent by your research backend and summarize the matching People Data Labs profile.
- 4Choose an incoming webhook trigger and a channel for run reports.
- 5Send one real speaker or expert mention and check the profile match.
Questions about this workflow
What must the research backend send?
It should send an available identifier such as a profile URL, email, phone, name, or company.
Does this automatically reach out to the speaker?
No. It retrieves profile information for your review.
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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