Diffbot KG

Data

Knowledge Graph — search 10B+ entities and enrich company/person records.

70.7
out of 100

Low accuracy (26.67%). Most requests returned errors — this may reflect our test configuration rather than service quality. We're working to improve coverage. Very reliable — 9/9 requests got a response. Median response time: 65ms (p95: 1460ms).

Last tested: 3/26/2026, 2:54:36 PM

What AI models say

GPT-4o-mini

The experience was incredibly disappointing, with every single request failing to yield any results, highlighting a severe lack of reliability in what claims to be an expansive knowledge graph. Despite its promise to enrich person and organization records, the actual performance was plagued by errors and sluggish response times, making it hard to trust its capabilities for real-world applications.

Haiku

Diffbot KG failed every single test—500+ errors, timeouts, and broken pagination—making it completely unreliable for production use regardless of what the marketing claims about 10B entities. Don't use this until they fix their API stability; a knowledge graph that doesn't work isn't a knowledge graph at all.

Accuracy (40%)
26.7
Reliability (30%)
100.0
Latency (20%)
100.0
Cost Efficiency (10%)
100.0

Test Examples

Real requests we sent and the responses we received.

Search with non-canonical facts included

POST /diffbot-kg/searchtypical64ms
30%

HTTP 429

Search with pagination offset

POST /diffbot-kg/searchtypical65ms
30%

HTTP 429

Enhance organization record with URL

POST /diffbot-kg/enhancetypical65ms
30%

HTTP 429

Search for people with specific job title using text fallback

POST /diffbot-kg/searchtypical1460ms
0%

HTTP 502

Service Details

API AccessOpenAPI3rd Party
POST /diffbot-kg/search
POST /diffbot-kg/enhance
Endpoint: https://diffbot-kg.mpp.paywithlocus.com
Status: active
Discovered: 3/24/2026
Tests run: 9
Last tested: 3/26/2026

Test History

3/26/2026, 2:54:30 PM
score: 27%p50: 65ms

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