Head-to-head · B2B data

Enrich.so vs People Data Labs

People Data Labs wins 19 of 30 decided metrics across 3 shared suites; the loser still leads where its column is highlighted. Same frozen test sets, same run; the better value in each row is highlighted.

Enrich.so
11
Credit-based enrichment API for work emails, phone numbers and reverse email lookup to a professional profile, with a lead finder and an MCP server.
No public reviews
Access: MCP · API · CSV · Batch · Webhooks
People Data Labs
19
Dataset-first people, company and job-posting data: search / enrichment APIs, batch CSV enrichment and licensed datasets.
★ 4.3 · 17 reviewsB (strong, 4.2 to 4.5)
Access: API · CSV · Dataset · Batch · Integrations
Email Datacore + suite-specific metrics
updated 2026-09-25
Metric Enrich.so · #11 of 29 People Data Labs · #20 of 29
Match rate68.3%69.4%
Valid email rate75.6%52.9%
Latency p503,302ms672ms
Cost / valid email$0.0040$0.654
Invalid rate0.0%11.8%
Catch-all share24.4%35.3%
Business email100.0%100.0%
Right-person rate95.1%100.0%
Decoy hit rate20.0%0.0%
Catch-all detection100.0%-
Confidence-score quality+62.5 pts-
Geographic coverage109
Phone Datacore + suite-specific metrics
updated 2026-09-25
Metric Enrich.so · #17 of 24 People Data Labs · #15 of 24
Match rate46.9%59.2%
Valid / reachable rate82.6%89.7%
Latency p501,277ms672ms
Cost / mobile number$0.190$0.511
Right-person rate89.5%82.6%
Mobile coverage36.7%46.9%
Disconnected rate0.0%0.0%
Low-activity share17.4%10.3%
Landline / mobile classification-100.0%
Country accuracy91.3%79.3%
Geographic coverage57
People Datacore + suite-specific metrics
updated 2026-09-25
Metric Enrich.so · #18 of 24 People Data Labs · #13 of 24
Profile match rate13.3%95.9%
Identity accuracy100.0%95.7%
Latency p503,326ms672ms
Price / matched profile$0.0060$0.240
Current employer accuracy50.0%93.6%
Move detection-40.0%
Decoy hit rate0.0%0.0%
Job title accuracy50.0%80.9%
Seniority label accuracy-65.8%
Location accuracy75.0%93.6%
Work history completeness1.07.7
Education completeness50.0%95.7%
Skills present62.5%89.4%
Social / profile URLs100.0%95.7%
Coverage by geo / function / seniority0.0%66.7%
Company Datacore + suite-specific metrics
updated 2026-09-25
Metric Enrich.so · not in suite People Data Labs · #8 of 23
Domain-to-company match rate-100.0%
Company name accuracy-95.6%
Latency p50-524ms
Price / matched company-$0.075
Industry accuracy-80.0%
Employee count ±20%-16.7%
HQ / location accuracy-75.6%
Description present-97.8%
Founding year accuracy-64.4%
Domains / social profiles-100.0%
Coverage by country / size-100.0%

Questions about Enrich.so vs People Data Labs

Which is better, Enrich.so or People Data Labs?

People Data Labs wins 19 of the 30 metrics decided between them, across 3 benchmarks that measured both. Leaderboard ranks: Email Data: Enrich.so #11 of 29, People Data Labs #20 of 29; Phone Data: Enrich.so #17 of 24, People Data Labs #15 of 24; People Data: Enrich.so #18 of 24, People Data Labs #13 of 24.

Which is cheaper, Enrich.so or People Data Labs?

Measured on the list price of each provider's central self-serve pack, divided by what it actually returned: Email Data, cost per valid email: Enrich.so $0.0040, People Data Labs $0.654; Phone Data, cost per mobile number: Enrich.so $0.190, People Data Labs $0.511; People Data, price per matched profile: Enrich.so $0.0060, People Data Labs $0.240.

How do Enrich.so and People Data Labs compare in user reviews?

Enrich.so has no public reviews on G2, Capterra, TrustRadius or Trustpilot; People Data Labs holds 4.3 / 5 across 17 reviews on G2. Ratings belong to their platforms and play no part in the benchmark grades.

How can you get data out of Enrich.so and People Data Labs?

Enrich.so offers an MCP server, an API, CSV export, batch endpoints and webhooks; People Data Labs offers an API, CSV export, dataset delivery, batch endpoints and native integrations. Both offer an API, CSV export and batch endpoints.

Compare Enrich.so with another provider

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Not automatic, on purpose: a human has to get access (or request it when there's no self-serve), plug in an API key, adapt the frozen test files to the provider's schema, then run the suites. Leave the details below and we'll take it from there, usually within a few weeks.