Fiber AI vs Nyne.ai

People Search

100

Metric	Fiber AI	Nyne.ai
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	No
Credit Card	Not required	Not required
Rate Limit	Per-endpoint limits (429 on exceed); 2x limits on Growth plan, custom on Enterprise	Not publicly documented. Async API pattern — POST to submit, poll GET for results.

Score Component	Fiber AI	Nyne.ai
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	Nyne.ai
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	+ Extremely broad data coverage across 250M+ websites including niche sources (Strava, SoundCloud, GitHub, forums, government records) — agents get a unified person profile from scattered digital footprints + Multiple input types accepted (email, phone, LinkedIn URL, name) with confidence scoring and timestamps on every signal, letting agents assess data freshness and reliability + Purpose-built for AI agents with structured JSON responses, identity graph resolution, and intent signals (life events, buying signals, brand affinities) that enable sophisticated reasoning
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	- Async enrichment flow (POST then poll GET with request_id) adds complexity for agents compared to synchronous APIs — requires polling logic or webhook handling - Credit-based pricing with variable costs per feature (lite vs standard vs social posts) makes budget tracking complex for autonomous agents
Badges	OpenAPI SpecAPI KeyPay-as-you-goJSONBot Blocking: NoneNo CCpeople-searchcompany-searchcontact-enrichmentemail-finderlinkedinmcpagentic-search	API KeyFreemiumJSONBot Blocking: NoneNo CCpeople-searchpeople-enrichmentcompany-enrichmentsocial-mediacontact-dataidentity-resolutionintent-dataevent-attendeesb2b-data

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)

Nyne.ai Integration

example.py

import requestsimport time
headers = {    "X-API-Key": "YOUR_API_KEY",    "X-API-Secret": "YOUR_API_SECRET",    "Content-Type": "application/json"}
# Submit person enrichment requestresp = requests.post(    "https://api.nyne.ai/person/enrichment",    headers=headers,    json={"linkedin_url": "https://linkedin.com/in/example"})request_id = resp.json()["request_id"]
# Poll for resultswhile True:    result = requests.get(        f"https://api.nyne.ai/person/enrichment?request_id={request_id}",        headers=headers    ).json()    if result.get("status") == "complete":        print(result["data"])        break    time.sleep(2)