Then I tested the email address of my boss, where it found a few fields of the company (address and business type), but not the person.
Then I tried a complete bogus address and still got a "success" but without meaningful data:
{ "success": true, "email": "hjd28ebsgis63kdnrzdg@gmail.com", "enrichment_data": { "entity_type": "person", "name": "Hjd", "age": null, "age_source": null, "gender": "other", "gender_source": "inferred", "city": null, "state": null, "country": null, "country_code": null, "occupation": null, "occupation_category": null, "role_seniority": null, "company": null, "company_category": null, "business_email": null, "personal_email": "hjd28ebsgis63kdnrzdg@gmail.com", "personal_phone": null, "work_phone": null, "high_school": null, "university": null, "instagram_handle": null, "instagram_followers": null, "tiktok_handle": null, "tiktok_followers": null, "twitter_handle": null, "twitter_followers": null, "youtube_handle": null, "youtube_followers": null, "linkedin_handle": null, "linkedin_followers": null, "interests": null, "interests_category": null }, "enriched_at": "2025-11-27T07:46:44.878Z", "credits_used": 0, "credits_remaining": 97, "cached": false, "request_id": "d5254e79-6f25-4fbf-b021-24539c97b636", "timestamp": "2025-11-27T07:46:44.878Z" }
This tool could be useful, but right now, it isn't. Its like a LLM from 2024: looks impressive on the surface, but is not usable for daily work.
if this is truly "real-time" and not a cached graph, how do you handle rate limiting and CAPTCHAs at scale? Even with "public" data, on-demand scraping usually requires massive residential proxy rotation which eats that $0.03 margin alive.