Veezee vs Netrows

What Netrows publishes

Netrows sells access to 55+ data sources, including LinkedIn, on a credit system: a 10,000-credit Starter tier, demo-gated with no public dollar price (netrows.com/pricing); Netrows' own blog prices requests at about EUR 0.005 each (netrows.com/blog). Its pricing page does not mention a free trial or free credits. It ships an MCP server as an npm package linked from its site, but as of 2026-07-11 it does not appear in the official MCP Registry: a search for "netrows" returns zero results (registry.modelcontextprotocol.io/v0/servers?search=netrows).

Netrows' terms describe its data as gathered by "automated data retrieval methods" from "publicly available information", with no warranty on accuracy, completeness, or timeliness, and service as an "obligation of means, to the exclusion of any obligation of result" (netrows.com/terms, sections 5.4, 13.1-13.2).

What Veezee offers

Veezee is scoped to LinkedIn only, with seven tools over MCP and REST. It grants 500 credits free with no signup or card, plus a small keyless taste. Every docs page ships a markdown twin. Pricing is per call and public. Auth is API key only, no OAuth, and there is no published uptime guarantee.

NetrowsVeezee
Scope55+ sources, multi-platformLinkedIn only
Pricingcredit tiers, demo-gated; ~EUR 0.005/request per its blogper call: 4 credits profile, 10 credits search, 4 credits company, 4 credits posts
Free tiernot published on pricing page500 credits free, no card, no signup, plus keyless taste
Data terms"obligation of means... exclusion of any obligation of result", no accuracy warrantyno uptime guarantee published
MCP Registrynot listed as of 2026-07-11listed: io.veezee/linkedin (registry.modelcontextprotocol.io)

Where each wins

Netrows covers far more ground: 55+ sources against Veezee's LinkedIn-only surface, and its per-request rate is cheap at volume. It also predates Veezee with a live paid customer base.

Veezee's edge is evaluation cost and specificity: free to start with no card, per-call prices published up front, and typed LinkedIn tools instead of a generic enrichment credit.