Fiber AI vs People Data Labs

Most teams evaluating Fiber AI vs People Data Labs are trying to solve the same problem: give outbound reps, recruiters, or AI agents a live data layer that actually returns the right people, at scale, without killing deliverability or blowing up costs.

Fiber AI is a live B2B data API suite built for always-fresh search, verified contacts, and agentic workflows. People Data Labs (PDL) is a large, static-profile data provider optimized for bulk enrichment. Both expose developer-friendly APIs, but they’re built for very different motions.

This explainer breaks down how Fiber AI works, where it diverges from People Data Labs, and when to choose each.

Fiber AI is a live B2B data API suite (plus MCP server) that lets teams and AI agents search and enrich people, company, and job data programmatically.
Its primary value is enabling “impossible” searches, verified contacts, and live LinkedIn-powered workflows that replace legacy tools like ZoomInfo, Apollo, and LinkedIn Sales Navigator/Recruiter—while you only pay for successful calls.

The Quick Overview

What It Is: A set of live, always-fresh B2B data APIs and MCP tools for people search, company search, job search, email→person, contact enrichment, and real-time LinkedIn fetch.
Who It Is For: Growth, sales, and recruiting teams, plus AI agent builders, who need precise prospecting, verified contacts, and programmatic search that beats UI tools.
Core Problem Solved: Legacy data vendors and static profile databases miss niche leads, can’t power agentic search reliably, and create bounces that destroy deliverability and sender reputation.

How It Works

Fiber AI sits between your outbound/recruiting/agent workflows and 100+ data sources, acting as a live search and verification layer. Instead of buying a static CSV or hitting a single monolithic database, you call Fiber’s endpoints and get fresh, verified results—only paying when Fiber actually finds data.

Key mechanics:

Search & Discovery APIs:
Use people search, company search, job search, and natural-language (agentic) search to find exactly who you want: “senior PMs at YC-backed legaltech startups in SF/Seattle with law degrees, promoted in the last 18 months.” These queries run on a continuously updated graph of 40M+ companies, 850M+ professionals, and 30M+ jobs.
Exclusive Identity & Live Fetch Endpoints:
Hit the email→person endpoint to turn a work or personal email into a full profile (work history, company, role, contact details). Use real-time LinkedIn fetch to grab live profiles, company pages, posts, and engagement (reactors/commenters), then enrich those audiences.
Waterfall Validation & Verified Contacts:
When you request emails or phones, Fiber orchestrates a waterfall across 16+ providers plus in-house verification. Only verified contacts consume credits, and four layers of bounce detection back the “0% Bounce Guarantee” with customers seeing <1% bounce rates in production.

How Fiber AI Differs From People Data Labs

At a high level:

Fiber AI: Live, search-first, verification-heavy; built to power AI agents and outbound systems that need fresh data, impossible filters, and deliverability guarantees.
PDL: Large, static person/company database; strong for broad enrichment of existing records, weaker for live LinkedIn fetch, impossible queries, and bounce guarantees.

Concretely:

PDL gives you big datasets and enrichment by identifiers (email, domain, etc.), but it does not:
- Provide live LinkedIn profile/company/post fetch.
- Offer a real-time email→person endpoint tuned for personal → work identity mapping.
- Guarantee 0% bounces with waterfall validation across 16+ providers.
- Focus on agentic/natural-language search for AI sales/recruiting agents.

Fiber was built to close exactly those gaps.

How It Works (In More Detail)

Fiber AI exposes a set of focused endpoints that you can drop straight into your stack:

People Search / Natural-Language Search
- Search 850M+ professionals with filters like:
  - Job title, seniority, function
  - Location + radius (e.g., “within 20 miles of San Francisco”)
  - Company size, funding stage, industry
  - Headcount growth (MoM/QoQ/YoY)
  - Education constraints, prior employers
  - LinkedIn keyword fields (headline, summary, about, experience)
- Use natural language so AI agents can generate and iterate on queries automatically:
  - “Find staff-level backend engineers working on LLM infra at Series B–D companies in SF Bay, promoted in the last 18 months.”
PDL can search its person database via structured filters, but you’re fundamentally querying a static dataset rather than a live, always-fresh graph optimized for agentic workflows and niche queries.
Company Search & Job Search
- Company search on 40M+ companies with:
  - Funding stage (Seed–IPO), venture/accelerator signals (e.g., YC)
  - Investors (e.g., a16z, Sequoia), raised amount
  - Department-level headcount and YoY/MoM changes
  - Tech stack signals (e.g., uses ElasticSearch)
- Job search across 30M+ open roles:
  - Title, level, and function
  - Tech stack mentions in job descriptions
  - Location, remote/hybrid constraints
- Example: “Find healthcare companies in US with ops jobs open, headcount growing ≥50% YoY in operations, using Salesforce.”
PDL’s company coverage is strong but oriented toward static firmographic enrichment. Fiber pushes deeper into temporal signals (growth, job postings, “who’s hiring for what”) that directly map to outbound intent and recruiter targeting.
Email→Person and Reverse Lookup
- Turn any email—work or personal—into a rich person record:
  - Current company, role, and seniority
  - Work history
  - Enriched contact details (work email, phone where available)
- Typical workflows:
  - Tie inbound signups with personal emails back to their work identities.
  - Enrich old CRM records where only a single email remains.
  - Resolve multi-identity issues when someone changes jobs.
PDL can enrich emails that exist in their dataset, but it doesn’t market a differentiated, personal-email→work-identity endpoint as a core primitive. Fiber explicitly optimizes for “personal → work” matching at API scale and makes this a flagship capability.
Contact Enrichment + Waterfall Validation
- Given a profile, domain, or search result, Fiber:
  - Runs an optimized waterfall across 16+ providers.
  - Performs four layers of bounce detection and SMTP-level checks.
  - Only charges you credits for successful, verified contacts.
- Outcomes seen by customers:
  - 90%+ verified contacts on targeted Tier 3–5 account lists.
  - <1% bounce rates in production.
  - A “0% Bounce Guarantee” baked into the commercial model.
PDL offers email and phone enrichment but does not center its product around waterfall validation across dozens of sources or a 0% Bounce Guarantee. If your primary risk is sender reputation and deliverability, this is a meaningful divergence.
Real-Time LinkedIn Fetch
- Fetch live LinkedIn company and profile data:
  - Profile fields, latest roles, and title changes.
  - Company descriptions, headcount, and other public data.
  - Posts and engagement (reactors/commenters) for retargeting.
- Use-case example:
  - Pull all commenters on a key competitor’s post, enrich them, and sync into your CRM and ad platforms within minutes.
NOBODY in the legacy data vendor bucket (including PDL, ZoomInfo, Apollo) offers this as a first-class, documented, production API. This is one of the areas where Fiber is explicitly designed to give you endpoints “nobody else has.”

Features & Benefits Breakdown

Core Feature	What It Does	Primary Benefit
Agentic People/Company/Job Search	Lets teams and AI agents search 850M+ people, 40M+ companies, 30M+ jobs with hyper-specific filters and natural language.	Find leads and candidates that LinkedIn Sales Navigator/Recruiter and static databases can’t surface.
Email→Person & Reverse Lookup	Converts any work or personal email into a full professional identity with work history and contacts.	Recover hidden pipeline from personal signups and old CRM emails; unify identities across jobs/tenures.
Waterfall-Verified Contact Enrichment	Runs a 16+ provider waterfall with four layers of bounce detection, charging only for verified results.	Protect sender reputation with <1% bounces and reduce cost by only paying for successful enrichments.

Ideal Use Cases

Best for AI Sales Agents and Automation-Heavy Outbound:
Because Fiber’s agentic search and live LinkedIn fetch let AI agents run micro-queries in real time, auto-generate ICP lists, and adapt targeting as performance data comes in. PDL’s static profile model is harder to plug into closed-loop, “search → outreach → learn → refine” systems.
Best for Recruiting and High-Intent Prospecting:
Because you can combine job postings, headcount growth, seniority, and LinkedIn keyword search to find candidates or companies in specific inflection moments (recent promotions, new funding, new job postings), then enrich with verified contacts. PDL is fine for basic resume-style enrichment, but not optimized around “who’s hiring for X,” “who just got promoted,” or “who’s posting about Y on LinkedIn.”

If your only goal is bulk enriching a massive static database you already own, and you don’t care about live search, jobs/headcount dynamics, or deliverability guarantees, PDL may be sufficient. If you want search + identity + verified contacts powering real workflows, Fiber is the better fit.

Limitations & Considerations

Fiber AI is not a bulk file-dump provider:
Fiber is optimized for API-first, programmatic usage and agentic workflows, not selling you a one-time 100M-row CSV. If your primary need is a cheap flat file of everyone in the US, PDL’s bulk dataset approach might still be attractive.
Migration effort from existing PDL/legacy pipelines:
Replacing PDL or another vendor with Fiber will require endpoint mapping and QA. The upside is 80%+ cost savings vs legacy vendors (ZoomInfo/Apollo/others) and improved yield, but you should plan a short transition period to rewire your enrichment and search flows.

Pricing & Plans

Fiber AI uses a credit-based, success-driven pricing model where you only pay for successful calls (data found). That means no waste on empty responses or unverifiable emails.

Common structure:

Monthly or yearly plans (with yearly discounts, e.g., 17% off).
Credits that map to specific actions (search results, enrichments, live fetches).
Higher tiers including:
- Increased rate limits.
- Priority support via a dedicated Slack channel.
- Options for custom endpoints and tailored waterfall strategies.

Two typical plan archetypes:

Prospector: Best for lean teams needing precise search plus enrichment to scale outbound or recruiting without breaking the bank. Ideal when you’re replacing tools like Apollo or layering Fiber behind your existing sequencing platform.
Scale / Enterprise (Custom): Best for companies and platforms embedding Fiber as their core data layer or powering AI sales agents at scale. Think higher throughput, per-minute rate limits, custom SLAs, and custom waterfall tuning per segment or industry.

For exact pricing and to map credits to your volume, we typically walk through your stack and targets on a short call.

Frequently Asked Questions

How does Fiber AI’s data coverage compare to People Data Labs?

Short Answer: Fiber covers 40M+ companies, 850M+ professionals, and 30M+ jobs with continuous updates, and focuses that coverage on live search and verification rather than static datasets.

Details:
PDL’s historic advantage has been breadth via large static datasets. Fiber’s approach is different: instead of handing you one massive, periodically-updated file, Fiber gives you APIs that sit over a continuously updated graph. That’s why you can:

Search on dynamic signals like job postings and department headcount growth.
Run agentic/natural-language queries that feel more like “AI over LinkedIn and 100+ sources” than a static file lookup.
Use email→person and LinkedIn live fetch to resolve identities and pull the freshest possible data.

If you care about breadth alone, both are strong. If you care about fresh, verifiable, workflow-ready data, Fiber’s architecture is designed for that.

Can Fiber AI replace People Data Labs in my existing enrichment workflows?

Short Answer: Yes, most teams can replace PDL with Fiber AI, often with higher verified yield and lower cost, but you’ll want to map endpoints and test side by side.

Details:
Customers regularly rip out legacy providers (ZoomInfo, Apollo, PDL, Crustdata) and move to Fiber. The migration typically looks like:

Audit your current calls:
List where you call PDL today—person enrichment by email, domain-level company enrichment, bulk uploads, etc.
Map to Fiber endpoints:
- Person enrichment → Fiber contact enrichment + email→person.
- Domain/company enrichment → Fiber company search + company enrichment.
- Prospect discovery → Fiber people search, job search, and natural-language search.
Run a controlled A/B:
Take a sample of your target accounts or inbound signups and hit both PDL and Fiber. Compare:
- Match rate.
- Verified contact rate.
- Bounce rate after a few campaigns.
- Cost per verified, usable contact.

Teams typically see:

47%+ higher yield using Fiber’s optimized 16+ provider waterfall on targeted lists.
Sub-1% bounce rates vs materially higher with legacy vendors.
Meaningful cost savings because they’re only paying for successful calls, not attempts.

Summary

Fiber AI and People Data Labs both serve developers who need B2B data via API. The difference is what they optimize for.

People Data Labs is a strong static-enrichment provider: good for broad, one-time enrichment of large datasets where freshness and deliverability aren’t existential.

Fiber AI is built for always-on outbound, recruiting, and AI agents that live or die by search quality and bounce rates. It gives you:

Agentic search across 850M+ people, 40M+ companies, and 30M+ jobs.
Exclusive endpoints like email→person and real-time LinkedIn fetch.
Waterfall validation with four layers of bounce detection and a 0% Bounce Guarantee.
A success-based pricing model where you only pay for data found.

If you want your AI agents and revenue teams to act on live, verified data—and replace or augment tools like LinkedIn Sales Navigator, ZoomInfo, Apollo, and PDL—Fiber AI is the better fit.

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