| Metric | Fiber AI | People Data Labs |
|---|---|---|
| Category | People Search | People Search |
| Pricing | Pay-as-you-go | Freemium |
| Auth | API Key | API Key |
| Format | JSON | JSON |
| Bot Blocking | None | None |
| OpenAPI Spec | Yes | Yes |
| Credit Card | Not required | Not required |
| Rate Limit | Per-endpoint limits (429 on exceed); 2x limits on Growth plan, custom on Enterprise | 100 req/min (free) to 1,000 req/min (paid) for enrichment; 10 req/min for search endpoints |
| Score Component | Fiber AI | People Data Labs |
|---|---|---|
| Base | +50 | +50 |
| OpenAPI Spec | +15 (Yes) | +15 (Yes) |
| Auth | +10 (API Key) | +10 (API Key) |
| Format | +10 (JSON) | +10 (JSON) |
| Bot Blocking | +10 (None) | +10 (None) |
| No CC | +5 (Yes) | +5 (Yes) |
| Free | 0 (No) | 0 (No) |
| Total | 100 | 100 |
| Fiber AI | People Data Labs | |
|---|---|---|
| Pros |
|
|
| Cons |
|
|
| Badges | OpenAPI SpecAPI KeyPay-as-you-goJSONBot Blocking: NoneNo CCpeople-searchcompany-searchcontact-enrichmentemail-finderlinkedinmcpagentic-search | OpenAPI SpecAPI KeyFreemiumJSONBot Blocking: NoneNo CCpeople-datacompany-dataenrichmentb2b-dataperson-searchip-enrichmentdata-cleaning |
Fiber AI Integration
example.py
import osfrom fiberai import Clientfrom fiberai.api.search import people_searchfrom fiberai.models import PeopleSearchBody
client = Client(base_url="https://api.fiber.ai")body = PeopleSearchBody.from_dict({ "apiKey": os.environ["FIBERAI_API_KEY"], "searchParams": { "title": ["CTO", "VP Engineering"], "seniority": ["Executive"], "location": {"countries": ["USA"]} }, "pageSize": 10})response = people_search.sync(client=client, body=body)People Data Labs Integration
example.py
import requests
API_KEY = "your-api-key"BASE = "https://api.peopledatalabs.com/v5"headers = {"X-Api-Key": API_KEY}
# Person Enrichmentresp = requests.get(f"{BASE}/person/enrich", headers=headers, params={"profile": "linkedin.com/in/seanthorne"})print(resp.json())
# Company Enrichmentresp = requests.get(f"{BASE}/company/enrich", headers=headers, params={"website": "peopledatalabs.com"})print(resp.json())