Use case, Person enrichment

Person enrichment API for your agent. One call per person.

Send an email, a LinkedIn profile, or a name and a company. Read full name and title back. Your agent picks the provider, and you pay per call.

Give this to your agent
set up looot - https://looot.ai/skill.md

The job

What the Person enrichment API gives your agent

Enrichment turns a thin record into a full one. You hold an email or a profile link, and you want the name, the employer, the title and the location behind it. Your agent sends what it has, and the provider returns the best matching record.

The depth of the record is where the providers part ways. A light lookup returns a name, a role and some handles for a few thousandths of a dollar. A full profile with education, past jobs and contact fields costs far more. Pick the depth the next step needs, not the deepest one on offer.

You give

an email, a LinkedIn profile, or a name and a company

jane.doe@example.com

You get

  • Full name and title
  • Employer and seniority
  • Location
  • Social profiles
  • Education and experience

Sample calls

The request and what comes back

Each run is one POST to /v1/runs with an endpoint id and an input. These are illustrative calls with generic values. The run's result holds the provider's own fields.

Request
{"endpointId":"hunter-people-find","input":{"email":"jane.doe@example.com"},"wait":30}
ResponseSample output
// POST /v1/runs, then read run.status and run.result
// result: takes an email or a LinkedIn handle and returns name, employer, role, seniority, location, bio and social handles

The prompt

Copy one prompt, give it to your agent.

Edit the names and numbers, paste it, and the agent runs the job and shows the cost.

  • One run is one person.
  • 1 steps across 6 providers.
  • Runs on demand, whenever you ask.
Prompt: Person enrichment API
Use looot to enrich jane.doe@example.com: return the full name, current employer, job title, seniority and location, and keep only fields the provider is sure about. 1. Set up https://looot.ai/skill.md. 2. Search the catalog for each step and check its price before you call. 3. Run the cheapest endpoint that fits. 4. Show the results as a table and the total cost.

Give this to your agent
Setup command
set up looot - https://looot.ai/skill.md

Before you start

Settle these before the first run

  • Send the most specific identifier you hold. An email or a profile URL matches more reliably than a name alone.
  • Decide the minimum fields you need. A cheap lookup answers who someone is and where they work, which covers most routing and scoring.
  • Keep the match likelihood. Where a provider reports one, store it with the record so a weak match does not pass as a sure one.

FAQ

Questions people ask

It adds fields you lack to a person you already know, such as the employer, the job title and the location. You start from an email or a profile link and end with a fuller record.

For agents
use case
Person enrichment API
run
person
schedule
on demand
step
Enrich the person: hunter tomba fullenrich prospeo aviato people-data-labs
setup
https://looot.ai/skill.md
llms.txt
https://looot.ai/llms.txt
updated
2026-10-04
markdown /use-cases/enrich-a-person.md

Try Person enrichment with your own agent.

Start your workspace, top up, and paste the prompt into the agent you already use.

Start your workspace See agent recipes