Entity Enricher vs People Data Labs - Feature Comparison

Entity Enricher vs People Data Labs

People Data Labs (PDL) is a developer-friendly API serving a large proprietary dataset of people and company records. It’s a great fit when the answer already lives in PDL’s database. Entity Enricher takes a different approach: instead of returning rows from a fixed dataset, it answers your schema from the world’s best LLMs — plus your own documents and live web search — for any entity type.

Key Differences at a Glance

Your Schema vs Their Dataset

Entity Enricher

You define the output structure — any fields, any nesting. The model fills it against your question.

People Data Labs

You receive PDL’s predefined person/company fields. The shape is theirs, not yours.

Any Entity vs People & Companies

Entity Enricher

Drugs, legal cases, research papers, real estate, products — anything you can describe with a schema.

People Data Labs

Built for B2B people and company data. Outside that domain there is no coverage.

Cross-Validated vs Single Source

Entity Enricher

Multiple LLMs answer in parallel; conflicts are arbitrated field by field with the reasoning stored.

People Data Labs

A single authoritative record. Accuracy depends on PDL’s dataset freshness, with no cross-check.

Knowledge + Documents vs Database Lookups

Entity Enricher

Combine LLM world knowledge, your attached PDFs/spreadsheets, and live web search in one call.

People Data Labs

Returns what is already stored in the dataset. It does not read your documents or search the web per request.

Detailed Feature Comparison

FeatureEntity EnricherPeople Data Labs
Developer-first REST API
Custom output schema (any fields)
Any entity typePerson / company only
Source of truthLLMs + your docs + webFixed proprietary dataset
Multi-model cross-validation
Field-level arbitration + audit trail
Semantic IDs (identity / dedup)Person/company IDs only
Document ingestion (PDF, DOCX, images)
Multilingual output (40 languages)
Self-hosted / BYO-keys inference
Batch processing
Coverage for niche / non-B2B entities
Pricing ModelPay-per-token (BYOK)~$99/mo for ~1k calls

When to Choose Each Platform

Choose Entity Enricher when:

  • -Your entities aren’t standard B2B people or companies
  • -You need a custom output schema, not a fixed field set
  • -Accuracy warrants multi-model cross-validation and an audit trail
  • -You want to enrich from your own documents or live web data
  • -Deduplication across runs, models, and languages matters
  • -Data sovereignty / self-hosted inference is a requirement

Choose People Data Labs when:

  • -You need standard B2B person and company attributes
  • -PDL’s proprietary dataset already covers your records
  • -A fixed, well-documented field set is exactly what you want
  • -You’re doing identity resolution on people/company records
  • -Bulk dataset access and licensing is the core need
  • -You don’t require custom schemas or non-B2B entities

Pricing Comparison

Entity Enricher

Pay-per-token

Bring your own LLM API keys and pay your provider directly for tokens consumed. No monthly call quota to size in advance, no per-record dataset fee.

  • - Typical enrichment: $0.001-0.05 per entity
  • - Multi-model (3 providers): $0.003-0.15 per entity
  • - Self-hosted option available

People Data Labs

~$99/mo

Subscription tiers metered by API calls against the dataset, starting around $99/month for roughly 1,000 calls, with enterprise and bulk-license tiers above.

  • - Entry: ~$99/mo for ~1,000 calls
  • - Volume / enterprise: custom
  • - Pay per record against a fixed dataset

Related Resources

Entity Enricher vs Clay|Entity Enricher vs Apollo|vs DIY LLM Pipeline|API Reference|Documentation

Answer your schema, for any entity.

Go beyond fixed B2B datasets. Define your own schema, enrich any entity from multiple models plus your documents and the web, and pay only for the tokens you use.

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