> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agent.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Prospect Finder

> Discover and rank prospects from a natural-language description, scored against your ICP.

## Overview

The Prospect Finder pack searches for people matching a natural-language description (e.g. *"VPs of RevOps at Series B SaaS companies in North America"*) via Fiber.ai combined search, then scores and ranks them against the seller's Ideal Customer Profile using Perplexity.

**Use cases**

* Top-of-funnel list building
* Territory planning for AEs and SDRs
* Finding influencers or speakers for events

***

## Pack actions

| Stage | Action                                        | Purpose                                                                       |
| ----- | --------------------------------------------- | ----------------------------------------------------------------------------- |
| PF1   | `prospect_finder_find_and_rank_prospects`     | Natural-language search + ICP scoring.                                        |
| PF2   | `prospect_finder_render_prospect_finder_html` | Render a prospect discovery report with cards, badges, and next-step buttons. |

## Typical flow

1. Provide a natural-language description and (optionally) a seller ICP.
2. `find_and_rank_prospects` returns ranked prospects with match reasons.
3. `render_prospect_finder_html` turns the ranked list into a share-ready report.
4. Pipe top prospects into [Prospect Research](/agent-packs/prospect-research) for a deeper brief on each.

## Related

* [Prospect Research](/agent-packs/prospect-research) — deep per-prospect intelligence.
* [Sales Outreach Team](/agent-packs/sales-outreach-team) — convert prospects into messaging.
* Full endpoint details in the [API Reference](/api-reference).