How do I build prospect lists automatically?

Most teams don’t have a lead problem—they have a data problem. You can’t automate outbound or AI agents if your prospect lists are incomplete, stale, or locked inside tools like LinkedIn Sales Navigator, Apollo, and ZoomInfo.

Fiber AI exists to fix that. We give you API endpoints (and MCP support) that let you build, refresh, and enrich hyper-specific prospect lists automatically from 40M+ companies and 850M+ professionals—with verified contact data and a 0% Bounce Guarantee.

---

The Quick Overview

• What It Is: Fiber AI is a live B2B data API suite that lets you programmatically search, build, and enrich prospect lists using people, company, and job data—plus live LinkedIn fetch.
• Who It Is For: Growth, sales, and recruiting teams (and the engineers/RevOps folks who support them) who want automated, always-fresh prospecting instead of CSV exports and manual LinkedIn hacks.
• Core Problem Solved: It turns “I think this is our ICP” into continuous, API-driven prospect list generation with verified work emails and phones, so your outbound, agents, and ads never stall.

---

How It Works

At a high level, you automate prospect list building by wiring Fiber’s search and enrichment endpoints into your workflows (CRM, outbound tools, internal dashboards, or AI agents). Instead of downloading static CSVs, you describe the ICP you want and let APIs keep filling and refreshing those lists.

Here’s the basic flow:

1. Define Your ICP and Filters
2. Search and Build Lists via API
3. Enrich, Validate, and Sync to Your Tools

Let’s break that down.

1. Define Your ICP and Filters

Start by turning your “ideal customer” into precise filters that an API can understand. With Fiber, you can go much more granular than LinkedIn Sales Navigator or Recruiter.

Examples of filters Fiber supports that others don’t:

• Company-level
  • Headcount bands (e.g., 11–50, 51–200, 201–500, 500–1,000+)
  • Headcount growth (MoM/QoQ/YoY), shrinking vs. growing teams
  • Revenue bands (e.g., $1M–$10M, $10M–$50M)
  • Funding signals: raised in last X months, YC/accelerator-backed
  • Open vs. closed job postings by role or department
  • Tech stack (e.g., “uses Snowflake + HubSpot”)
  • Location radius (e.g., “SF Bay Area within 50 miles”)
• People-level
  • Title + seniority (e.g., “VP of RevOps,” “Senior PM,” “CFO”)
  • Function (e.g., sales, eng, product, finance)
  • Education constraints (e.g., JD or law degree, top schools)
  • Prior employers, promotion patterns, tenure in role
  • LinkedIn keyword fields (e.g., “PLG,” “AI agents,” “DevTools” in headline/about)

Turn that into a repeatable targeting recipe:

“CFOs at US SaaS companies, 11–500 employees, >$1M revenue, growing headcount 20%+ YoY, raised funding in the last 18 months, using NetSuite or QuickBooks.”

This is the level of precision you want before you automate.

2. Search and Build Lists via API

Once your ICP is defined, you use Fiber’s search endpoints to build lists—automatically and at scale.

Core endpoints you’ll use:

• People Search API – Find people by title, seniority, skills, company filters, education, etc.
• Company Search API – Find companies by size, funding, revenue, headcount growth, jobs, tech stack.
• Agentic / Natural-Language Search – Let AI agents describe targets in plain English and Fiber translates it into structured queries across 100+ data sources.

Typical flow:

1. Call Company Search
   • Narrow down to your target accounts:
     • Region: “United States”
     • Company size: 11–500
     • Revenue: >$1M
     • Funding: “Raised seed/Series A/B in last 24 months”
     • Signals: “Open job postings for ‘Sales Engineer’ or ‘Solutions Architect’”
2. Call People Search for Each Company
   • Filter for the exact persona:
     • Titles: “Head of Sales,” “VP Sales,” “Director of Sales”
     • Seniority: director+ or VP+
     • Keywords: “PLG” in their LinkedIn about/headline
3. Paginate and Save Results
   • Store raw IDs, LinkedIn URLs, company IDs, and key attributes in your CRM or data warehouse.
   • Tag each record with the query/segment it came from for easy reporting and experimentation.

Because Fiber is API-first, this entire process is scriptable in Python, Node, or via your internal tools—no manual CSV exports needed.

3. Enrich, Validate, and Sync to Your Tools

Finding the right names isn’t enough; you need verified contacts that don’t ruin your sender reputation.

This is where Fiber’s enrichment + verification endpoints come in:

• Contact Enrichment API
  • Take a person or company object (or LinkedIn URL) and get:
    • Verified work emails
    • Personal emails
    • Direct dials and mobiles where available
    • Role, seniority, department, LinkedIn URL, company metadata
• Email → Person (Reverse Lookup)
  • Input: a work or personal email (e.g., from signups, waitlists, partner lists).
  • Output: full profile + work history + contact info, even if they used a personal email.
• Waterfall Verification & Bounce Detection
  • Fiber runs every email through waterfall validation with four layers of bounce detection.
  • We only charge credits on successful calls where data is found.
  • Backed by a 0% Bounce Guarantee and typical <1% bounce rates in production.

Once verified and enriched, you push prospects into:

• CRMs (Salesforce, HubSpot, Pipedrive)
• Outbound tools (Salesloft, Outreach, Apollo, Instantly)
• Ads audiences (LinkedIn, Meta, Google)
• AI agent systems (custom agents, orchestration frameworks, MCP tools)

All of this can run on a schedule (nightly, weekly) or be triggered by events (new inbound signup, new funding event, new job posting).

---

Features & Benefits Breakdown

Core Feature	What It Does	Primary Benefit
People & Company Search APIs	Search 850M+ professionals and 40M+ companies with filters beyond LinkedIn/Sales Navigator.	Build hyper-specific prospect lists that match your ICP exactly, not “close enough” segments.
Agentic / Natural-Language Search	Lets AI agents describe targets in English and Fiber converts it into structured multi-source search.	Fully automate prospect list creation without hand-written queries; ideal for AI sales agents.
Contact Enrichment & Verification	Enrich profiles with work emails, personal emails, phones, and verify them using waterfall checks.	Get verified contacts with <1% bounce rates, protect domain reputation, and improve outbound yield.

---

Ideal Use Cases

• Best for Automated Outbound Pipelines: Because you can continuously search for new ICP-matching accounts and contacts, enrich them with verified emails, and sync to sequences or cadences without manual list-building.
• Best for AI Sales or Recruiting Agents: Because Fiber’s agentic/natural-language search plus live LinkedIn fetch gives agents the “eyes and ears” they need to reason about markets and build their own target lists.

---

Limitations & Considerations

• You Need a Clear ICP: Fiber is extremely powerful, but it’s not magic if you don’t know who you’re targeting. Plan your ICP and filters first; then automate.
• Engineering/RevOps Setup Recommended: You can start in Postman or simple scripts, but to fully automate prospect list building, you’ll want a developer or RevOps owner to wire Fiber into your CRM, outbound, and agent workflows.

---

Pricing & Plans

Fiber uses a credit-based, success-only pricing model: you only pay for successful calls where data is found, not failed lookups. This makes it easy to run large automated workflows without surprise bills from “empty” queries.

Typical packaging looks like:

• Growth Plan: Best for lean sales/recruiting teams and startups needing 1–3 automated prospecting workflows, moderate volumes, and Slack-based support to integrate into their stack.
• Scale / Enterprise Plan: Best for high-volume teams and AI platforms needing higher rate limits, many automated workflows, custom endpoints (e.g., special filters or triggers), and a direct line to the founders for fast iteration.

For exact credit counts, rate limits, and plan details, book a demo and we’ll map it to your use case.

---

Frequently Asked Questions

How do I go from “no process” to fully automated prospect lists?

Short Answer: Start by defining one narrow ICP, wire up a single search + enrichment workflow, and then scale to more segments and agents once it’s working.

Details:
Don’t try to boil the ocean on day one. Pick one high-value segment (e.g., “US-based mid-market SaaS companies with a VP Sales and active AE hiring”) and:

1. Use Company Search + People Search to generate a list.
2. Run Contact Enrichment with verification to get emails and phones.
3. Push the results into a single outbound sequence and measure reply rates, meetings, and opportunities.
4. Once you see the lift, clone the workflow for additional segments (different roles, industries, or geos) and then connect it to AI agents or triggers like new funding, new job postings, and inbound signups.

This keeps your automation grounded in real performance instead of guesswork.

How is this better than just exporting from LinkedIn Sales Navigator or Apollo?

Short Answer: Fiber gives you more powerful filters, exclusive endpoints (like email→person and live LinkedIn fetch), verified contacts, and continuous automation via API—so you’re not stuck with static CSVs and stale lists.

Details:
Sales Navigator and Apollo are UI-first tools with export limits and shallow filters. They can’t:

• Search on headcount growth, accelerator signals, or closed job postings with the same precision.
• Map personal emails back to full work identities at scale.
• Let AI agents describe an ICP in natural language and automatically build lists from 100+ sources.
• Fetch real-time LinkedIn profiles and company data programmatically for enrichment and retargeting.

Fiber is built as an API data layer for outbound and AI agents. Customers routinely:

• Replace Apollo/ZoomInfo/LinkedIn Sales Navigator for list-building.
• Generate XX% larger lead lists (NDA) using Fiber’s search filters.
• Maintain <1% bounce rates with waterfall verification, instead of burning domains on bad data.

If you’re serious about automating prospect list building instead of clicking “export” every week, you need APIs—not another UI.

---

Summary

Automated prospect list building is not just “scraping more contacts.” It’s about:

• Precisely defining your ICP with filters that UI tools can’t express.
• Using API-based people and company search to continuously find new accounts and contacts.
• Enriching every record with verified work emails, personal emails, and phones using waterfall validation and bounce detection.
• Wiring this into your CRM, outbound tools, and AI agents so your pipeline is always full—and your sender reputation stays intact.

Fiber AI gives you the API endpoints nobody else has (email→person, agentic search, live LinkedIn fetch) plus the verification stack and pricing model (“only pay for successful calls”) to make automated list-building a safe default, not a risky experiment.

---

Next Step

Get Started