Head-to-head · B2B data

Diffbot vs Prospeo

Prospeo wins 15 of 24 decided metrics across 2 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.

Diffbot

Web-scale Knowledge Graph built by crawling the public web: Enhance matches people and organizations, DQL searches entities including job posts, with an optional re-crawl of sources.

★ 4.9 · 29 reviewsA

Access: MCP · CLI · API · Dataset · CSV · Batch · Webhooks · Integrations

Prospeo

Contact data, email verification and enrichment for outbound via API, bulk endpoints and MCP.

★ 4.7 · 1,000 reviewsA

Access: MCP · API · CSV · Batch · Integrations

Email Datacore + suite-specific metrics

updated 2026-09-25

Metric	Diffbot · not in suite	Prospeo · #23 of 29
Match rate	-	61.7%
Valid email rate	-	54.1%
Latency p50	-	1,231ms
Cost / valid email	-	$0.037
Invalid rate	-	2.7%
Catch-all share	-	40.5%
Business email	-	100.0%
Right-person rate	-	100.0%
Decoy hit rate	-	0.0%
Catch-all detection	-	60.0%
Confidence-score quality	-	-
Geographic coverage	-	5

Phone Datacore + suite-specific metrics

updated 2026-09-25

Metric	Diffbot · not in suite	Prospeo · #11 of 24
Match rate	-	71.4%
Valid / reachable rate	-	85.7%
Latency p50	-	570ms
Cost / mobile number	-	$0.231
Right-person rate	-	88.0%
Mobile coverage	-	61.2%
Disconnected rate	-	2.9%
Low-activity share	-	11.4%
Landline / mobile classification	-	97.1%
Country accuracy	-	88.6%
Geographic coverage	-	8

People Datacore + suite-specific metrics

updated 2026-09-25

Metric	Diffbot · #14 of 24	Prospeo · #3 of 24
Profile match rate	85.0%	98.0%
Identity accuracy	100.0%	100.0%
Latency p50	7,232ms	1,278ms
Price / matched profile	$0.022	$0.020
Current employer accuracy	68.6%	81.3%
Move detection	25.0%	7.7%
Decoy hit rate	20.0%	0.0%
Job title accuracy	49.0%	56.3%
Seniority label accuracy	-	65.1%
Location accuracy	86.3%	95.8%
Work history completeness	6.2	6.3
Education completeness	90.2%	0.0%
Skills present	72.5%	0.0%
Social / profile URLs	94.1%	100.0%
Coverage by geo / function / seniority	60.0%	83.3%

Company Datacore + suite-specific metrics

updated 2026-09-25

Metric	Diffbot · #10 of 23	Prospeo · #9 of 23
Domain-to-company match rate	99.0%	100.0%
Company name accuracy	94.9%	94.0%
Latency p50	1,127ms	1,050ms
Price / matched company	$0.022	$0.020
Industry accuracy	83.8%	78.0%
Employee count ±20%	69.9%	25.7%
HQ / location accuracy	82.8%	81.0%
Description present	100.0%	94.0%
Founding year accuracy	73.7%	58.0%
Domains / social profiles	94.9%	100.0%
Coverage by country / size	95.0%	100.0%

Technographic Datacore + suite-specific metrics

updated 2026-09-25

Metric	Diffbot · not measured	Prospeo · #4 of 10
Coverage	-	94.0%
Detection accuracy	-	79.5%
Latency p50	-	1,050ms
Cost / lookup	-	$0.021
Live stack recall	-	59.9%
Technologies per domain	-	26
Dated results	-	0.0%
Coverage by geo / size	-	90.0%

Questions about Diffbot vs Prospeo

Which is better, Diffbot or Prospeo?

Prospeo wins 15 of the 24 metrics decided between them, across 2 benchmarks that measured both. Leaderboard ranks: People Data: Diffbot #14 of 24, Prospeo #3 of 24; Company Data: Diffbot #10 of 23, Prospeo #9 of 23.

Which is cheaper, Diffbot or Prospeo?

Measured on the list price of each provider's central self-serve pack, divided by what it actually returned: People Data, price per matched profile: Diffbot $0.022, Prospeo $0.020; Company Data, price per matched company: Diffbot $0.022, Prospeo $0.020.

How do Diffbot and Prospeo compare in user reviews?

Diffbot holds 4.9 / 5 across 29 reviews on G2; Prospeo holds 4.7 / 5 across 1,000 reviews on G2 and Capterra. Ratings belong to their platforms and play no part in the benchmark grades.

How can you get data out of Diffbot and Prospeo?

Diffbot offers an MCP server, a command-line tool, an API, dataset delivery, CSV export, batch endpoints, webhooks and native integrations; Prospeo offers an MCP server, an API, CSV export, batch endpoints and native integrations. Both offer an MCP server, an API, CSV export, batch endpoints and native integrations.