StableEnrich

Data

Pay-per-request research APIs — people, companies, web search, scraping, places, social media, and contact enrichment.

94.0
out of 100

High accuracy (86%) — responses consistently matched expected behavior. Very reliable — 10/10 requests got a response. Median response time: 1600ms (p95: 3530ms).

Last tested: 3/24/2026, 1:35:04 PM

What AI models say

GPT-4o-mini

“Pay-per-request research APIs deliver a solid range of capabilities for enriching person and company data, though the performance can be hit-or-miss. While most queries returned relevant results and the API efficiently handled short searches, the occasional slow response and HTTP errors suggest some areas for improvement, particularly with complex queries and news articles.”

Haiku

“**StableEnrich is a solid, reliable workhorse for data enrichment and search — 80% of my requests hit their marks with decent speed, but the 20% failure rate on news searches and that 3.5-second Reddit crawl suggest you'll need fallback handling for production use.** The core functionality works as advertised (person/company lookups, web scraping, multi-source search), but it's not bulletproof enough to trust blind”

Accuracy (40%)
86.0
Reliability (30%)
100.0
Latency (20%)
97.9
Cost Efficiency (10%)
100.0

Test Examples

Real requests we sent and the responses we received.

Web search using Exa API

POST /api/exa/searchtypical2256ms
100%

5 results returned

Search with special characters and non-English text

POST /api/exa/searchedge2345ms
100%

5 results returned

Search for people by name and company

POST /api/apollo/people-searchtypical1384ms
100%

{"people":[{"id":"59fe56a7a6da9861955e1ec1","title":"Chief Growth Officer and Board of Directors","has_city":true,"has_email":true,"has_state":true,"first_name":"Mike","has_country":true,"organization

Search with empty content string

POST /api/exa/answeradversarial261ms
30%

HTTP 400

Service Details

API AccessMPP Directory1st Party
by Merit Systems
POST /api/apollo/people-search$0.020000Find prospects by filters
POST /api/apollo/people-enrich$0.049500Enrich single person by email/name/domain
POST /api/apollo/org-search$0.020000Find companies by filters
POST /api/apollo/org-enrich$0.049500Enrich single company by domain
POST /api/clado/linkedin-scrape$0.040000Scrape full LinkedIn profile data
POST /api/clado/contacts-enrich$0.200000Enrich contact info from LinkedIn URL, email, or phone
POST /api/exa/search$0.010000Neural web search
POST /api/exa/find-similar$0.010000Find pages similar to a URL
POST /api/exa/contents$0.002000Extract content from URLs
POST /api/exa/answer$0.010000AI-generated answers with citations
POST /api/firecrawl/scrape$0.012600Scrape a URL with full JavaScript rendering
POST /api/firecrawl/search$0.025200Search the web and get scraped results
POST /api/google-maps/text-search/full$0.080000Text search with full details
POST /api/google-maps/text-search/partial$0.020000Text search with basic details
POST /api/google-maps/nearby-search/full$0.080000Nearby search with full details
POST /api/google-maps/nearby-search/partial$0.020000Nearby search with basic details
GET /api/google-maps/place-details/full$0.050000Full place details by ID
GET /api/google-maps/place-details/partial$0.020000Partial place details by ID
POST /api/serper/news$0.040000Google News search
POST /api/serper/shopping$0.040000Google Shopping search
POST /api/reddit/search$0.020000Search Reddit posts
POST /api/reddit/post-comments$0.020000Get post details and comments
POST /api/whitepages/person-search$0.440000Search for people by name, phone, or address
POST /api/whitepages/property-search$0.440000Property ownership and resident details by address
POST /api/hunter/email-verifier$0.030000Verify email deliverability
POST /api/influencer/enrich-by-email$0.400000Find social profiles by email
POST /api/influencer/enrich-by-social$0.400000Enrich social media profile with contact info
Homepage
Endpoint: https://stableenrich.dev
Status: active
Discovered: 3/18/2026
Price per request: $0.020 USDC
Tests run: 10
Last tested: 3/24/2026

Test History

3/24/2026, 1:34:44 PM
score: 86%p50: 1600ms

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How do we test? Read our methodology.