Documentation Index

Fetch the complete documentation index at: https://docs.prontohq.com/llms.txt

Use this file to discover all available pages before exploring further.

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Find 2x people than with Clay

• Input : Job titles + Company
• Output : Live matching people data

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Prerequisites

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In Pronto

• A Pronto account with API access
• A valid sync
• Your Pronto API key (How to get your API key)

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In Clay

• Company Name
• Domain
• Company LinkedIn URL (or LinkedIn Org ID)

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Step 1 — Create a Webhook Table in Clay

1. In Clay, click Add → Monitor Webhook
2. Clay creates a new table with a Webhook column
3. Click the Webhook column → Sources → Pull data from webhook
4. Copy the Webhook URL

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Step 2 — Add an HTTP API Column to Your Companies Table

1. Go back to your Companies table
2. Click Add Column
3. Choose Add Enrichment
4. Select HTTP API

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Step 3 — Configure the API Call

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Method

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Endpoint

https://app.prontohq.com/api/v2/leads/search

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Body (JSON)

{
  "name": "Find people at {{Company Name}}",
  "webhook_url": "PASTE_YOUR_WEBHOOK_URL_HERE",
  "company_linkedin_url": "{{Company Linkedin URL}}",
  "job_titles": [
    "Head of Talent",
    "HR Director",
    "Talent Acquisition Manager"
  ],
  "excluded_job_titles": [
    "Intern"
  ],
  "functions": ["12", "15"],
  "seniority_levels": ["220", "300"],
  "streaming": true,
  "limit": 50
}

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Using a saved Persona instead of inlining job titles

{
  "name": "Find people at {{Company Name}}",
  "webhook_url": "PASTE_YOUR_WEBHOOK_URL_HERE",
  "company_linkedin_url": "{{Company Linkedin URL}}",
  "persona_id": "1f6b0f5a-2d8e-4c3a-9b8f-1a2b3c4d5e6f",
  "streaming": true,
  "limit": 50
}

At least one people filter is required. The request must include at least one of job_titles, excluded_job_titles, functions, seniority_levels, included_locations, excluded_locations, or persona_id. Requests with none of these return 400.

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Field explanations

• name: Label used inside Pronto
• webhook_url: Clay webhook URL (Step 1)
• company_linkedin_url: Clay variable for the company’s LinkedIn profile
• job_titles: The personas you want to target. If you pass [*] we will return every person in the company, regardless of their job title.
• excluded_job_titles: Optional list
• persona_id (optional): UUID of a Pronto Persona. When provided, job_titles and excluded_job_titles are taken from the persona definition and must not be passed in the request — doing so returns 422. Use this when you want a saved persona to drive the search instead of inlining job titles.
• included_locations (optional): If used, we will return only leads with matching location. Location ids can be retrieved via this endpoint.
• excluded_locations (optional): Location IDs to exclude (same ID source as above).
• functions (optional): Array of LinkedIn function IDs (department / job function). Only the IDs listed in Authorized function IDs are accepted. Multiple values use OR logic.
• seniority_levels (optional): Array of LinkedIn seniority level IDs. Only the IDs listed in Authorized seniority level IDs are accepted. Multiple values use OR logic.
• streaming: Sends results to Clay row by row
• limit: Max number of people to return per company

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Authorized function IDs

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Authorized seniority level IDs

Clay JSON formatting errors? Double-check commas, spacing, or copy our template to fix issues.

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Headers

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Step 4 — Run Your First Find People Request

1. In your Companies table
2. Go to your new HTTP API column
3. Click the ▶️ Play button on any company row

• query LinkedIn for your persona
• extract matching profiles
• stream the results into your Webhook table

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Step 5 — View and Use the Results

• full_name
• title
• linkedin_url
• linkedin_id
• company_name
• status
• rejection_reasons

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FAQ

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Does this use my Clay credits?

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Is the data live?

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Can I run this at scale?

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What if my sync breaks?

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Need help?

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Want to scale further ?

• connections_count
• headline
• Vanity LinkedIn profile URL (like https://www.linkedin.com/in/mathieu-brun-picard/)

["Software Engineer", "Product Manager"]

["Intern", "Contractor"]

["105015875", "102221843"]

["103644278"]

["13", "15"]

["220", "300"]

{ "hubspot_id": "134567" }