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Fiber AI vs Sixtyfour

People Search

Fiber AI
Fiber AI
100
VS
Metric Fiber AI Sixtyfour
Category People Search People Search
Pricing Pay-as-you-go Pay-as-you-go
Auth API Key API Key
Format JSON JSON
Bot Blocking None None
OpenAPI Spec Yes No
Credit Card Not required Not required
Rate Limit Per-endpoint limits (429 on exceed); 2x limits on Growth plan, custom on Enterprise 500 req/min per API key
Score Component Fiber AI Sixtyfour
Base +50 +50
OpenAPI Spec +15 (Yes) 0 (No)
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 85
Fiber AI Sixtyfour
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
  • + Flexible struct parameter lets agents define exactly which fields to return in natural language — no rigid schema to map
  • + Async endpoints with polling prevent timeout issues on long-running enrichment (P95 ~5 min), critical for agent orchestration
  • + Significantly higher enrichment coverage than Apollo/BuiltWith — surfaces data on even tiny businesses with a few employees
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
  • - No public pricing or free tier — agents can't self-provision, requires sales contact to get started
  • - Sync enrichment calls can take up to 15 minutes; agents must use async+polling pattern or risk HTTP timeouts
Badges
OpenAPI SpecAPI KeyPay-as-you-goJSONBot Blocking: NoneNo CCpeople-searchcompany-searchcontact-enrichmentemail-finderlinkedinmcpagentic-search
API KeyPay-as-you-goJSONBot Blocking: NoneNo CCpeople-searchcompany-enrichmentlead-enrichmentemail-finderphone-finderasync-apiai-agents

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)

Sixtyfour Integration

example.py
import requests
headers = {    "x-api-key": "YOUR_API_KEY",    "Content-Type": "application/json"}
# Enrich a leadresp = requests.post("https://api.sixtyfour.ai/enrich-lead", headers=headers, json={    "lead_info": {        "name": "Jane Smith",        "company": "Acme Corp",        "linkedin": "https://linkedin.com/in/janesmith"    },    "struct": {        "email": "Work email address",        "phone": "Direct phone number",        "title": "Current job title"    }})print(resp.json()["structured_data"])