OSINT & Due Diligence

Storefront-to-Human Contact Bridge

Turn a business listing into the owner's emails, phones and every linked social — Instagram, X, Facebook and LinkedIn — resolved into one person.

What it does

Bridges a map pin to a real person: scrape the business's contact block and every linked social (Instagram, X, Facebook, LinkedIn) that place_details returns, then enrich the chosen handles into one profile of the human behind it. Use {platforms} to pick which networks to run and {country} to lock the right region.

Who it's for: Sales, recruiters, journalists and diligence teams.

Inputs

How your agent runs it

1. 1
   search_places

   search_places(query="{business}")

   Resolve the business to a place_id (take the best match). {country} is optional and only disambiguates region when supplied.

2. 2
   place_details

   place_details(place_id=<place_id>)

   Read emails_and_contacts: emails, phone_numbers, and the linked instagram/twitter/linkedin/facebook profiles — these links feed every enrichment step below.

3. 3
   instagram_user_profile

   instagram_user_profile(url=<instagram_link>)

   Only run if {platforms} includes instagram (and an instagram_link exists): enrich the linked Instagram — bio, external_url, public_email — to identify the person.

4. 4
   twitter_user_profile

   twitter_user_profile(username=<twitter_handle>)

   Only run if {platforms} includes twitter (and a twitter_handle exists): do the same on X to cross-confirm the same human and gather more context.

5. 5
   facebook_page_details

   facebook_page_details(url=<facebook_link>)

   Only run if {platforms} includes facebook (and a facebook_link exists): pull the linked Facebook page's about/contact block — email, phone, website — often the richest owner-contact source for a local business.

6. 6
   linkedin_company_details

   linkedin_company_details(url=<linkedin_link>)

   Only run if {platforms} includes linkedin (and a linkedin_link exists): enrich the linked LinkedIn company to confirm the entity and surface a named founder/owner — turning 'a business' into a named decision-maker.

Tools used

The full playbook

This is exactly what the MCP returns to your agent (via the storefront-to-human-contact-bridge prompt or get_skill tool), with your inputs filled in.

SKILL: Storefront-to-Human Contact Bridge
Bridges a map pin to a real person: scrape the business's contact block and every linked social (Instagram, X, Facebook, LinkedIn) that place_details returns, then enrich the chosen handles into one profile of the human behind it. Use {platforms} to pick which networks to run and {country} to lock the right region.

You are running this skill on API Direct via its MCP tools. Execute the steps below yourself by calling the named tools in order — values in <angle brackets> come from a previous step. Then deliver the result described at the end.

INPUTS:
  - business (required): <business — ASK THE USER>
      The business name (and city) to resolve.
  - platforms (optional): (optional — e.g. instagram, twitter, facebook, linkedin)
      Comma-separated list of platforms to run — options: places, instagram, twitter, facebook, linkedin. Omit to run all of them; name specific platforms to limit the run.
  - country (optional): (optional — e.g. us)
      Two-letter country code to disambiguate which region's business to resolve (maps to the country param on search_places/place_details).

PLATFORM SELECTION: some steps are gated with "Only run if {platforms} includes X". If the user supplied a `platforms` value, run only the steps whose platform is listed. If the user did NOT supply `platforms`, run ALL steps — every platform the skill supports.

STEPS:
  1. Tool `search_places` — search_places(query="{business}")
     Resolve the business to a place_id (take the best match). {country} is optional and only disambiguates region when supplied.
  2. Tool `place_details` — place_details(place_id=<place_id>)
     Read emails_and_contacts: emails, phone_numbers, and the linked instagram/twitter/linkedin/facebook profiles — these links feed every enrichment step below.
  3. Tool `instagram_user_profile` — instagram_user_profile(url=<instagram_link>)
     Only run if {platforms} includes instagram (and an instagram_link exists): enrich the linked Instagram — bio, external_url, public_email — to identify the person.
  4. Tool `twitter_user_profile` — twitter_user_profile(username=<twitter_handle>)
     Only run if {platforms} includes twitter (and a twitter_handle exists): do the same on X to cross-confirm the same human and gather more context.
  5. Tool `facebook_page_details` — facebook_page_details(url=<facebook_link>)
     Only run if {platforms} includes facebook (and a facebook_link exists): pull the linked Facebook page's about/contact block — email, phone, website — often the richest owner-contact source for a local business.
  6. Tool `linkedin_company_details` — linkedin_company_details(url=<linkedin_link>)
     Only run if {platforms} includes linkedin (and a linkedin_link exists): enrich the linked LinkedIn company to confirm the entity and surface a named founder/owner — turning 'a business' into a named decision-maker.

DELIVER: A contact dossier — emails, phones, every linked social profile across Instagram, X, Facebook and LinkedIn, and the likely named person behind the business.

Note: each underlying tool call is billed at its normal endpoint price; get_sentiment adds a small per-page surcharge. Page through results as needed but stop once you have enough to deliver the outcome.