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Fiber AI vs People Data Labs

People Search

Fiber AI
Fiber AI
100
VS
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
  • + First-class agent support — official MCP server, Python/TypeScript SDKs, and dedicated agentic search endpoints that convert natural language to structured filters
  • + Comprehensive OpenAPI 3.1 spec (90+ endpoints) makes tool-use integration trivial for LLM function calling
  • + Unique endpoints competitors lack: reverse email-to-person lookup, real-time LinkedIn live fetch, kitchen-sink enrichment, and GitHub-to-LinkedIn resolution
  • + Massive dataset — 3B+ person profiles and 70M+ companies with broad coverage across enrichment, search, identify, and IP endpoints
  • + Official OpenAPI spec on GitHub and SDKs for Python, JS, Ruby, and Go with clean REST design and predictable JSON responses
  • + Generous free tier with no credit card required, and Autocomplete/Cleaner APIs are completely free with only rate limits
Cons
  • - No permanent free tier — only a 7-day trial, then minimum $300/mo
  • - Auth is non-standard (apiKey in request body for POST, query param for GET) rather than a standard Authorization header, requiring custom handling in generic API clients
  • - Free tier is very limited at 100 lookups/month — Pro starts at $98/mo for only 350 person credits, making serious usage expensive
  • - Search API rate limit is tight at 10 req/min even on paid plans, which can bottleneck agent workflows doing bulk lookups
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())