Use case, data enrichment

Data enrichment your agent runs for you.

Give your agent the list and the fields. It fills the gaps from many providers behind one key, billed per call.

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

Sample calls

Name or domain in. Fields out.

Each job is one endpoint call. These are illustrative calls with generic values. Real field names depend on the provider your agent picks.

Request
{"job":"email.find","name":"Sample Person","domain":"example.com"}
ResponseSample output
{
  "email": "sample.person@example.com",
  "status": "found"
}

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 contact.
  • 4 steps across 13 providers.
  • Runs on demand, whenever you ask.
Prompt: Data enrichment
Use looot to enrich contacts.csv: add the work email, check that it is deliverable, and add company size and tech stack for each row, using the cheapest provider that answers each lookup. 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

FAQ

Questions people ask

Data enrichment adds fields you lack to records you have, such as work email, company size or tech stack. You start with a name or a domain and end with a fuller row.

For agents
use case
Data enrichment
run
contact
schedule
on demand
step
Find the work email: anysite icypeas leadmagic findymail hunter aviato
step
Verify the address: findymail hunter icypeas leadmagic anysite
step
Fill company fields: coresignal people-data-labs predictleads lusha prospeo aviato
step
Find the tech stack: builtwith predictleads theirstack
setup
https://looot.ai/skill.md
llms.txt
https://looot.ai/llms.txt
updated
2026-10-03
markdown /use-cases/data-enrichment.md

Try data 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