# Veezee vs Netrows

## What Netrows publishes

Netrows claims 280+ endpoints across 55+ data sources, LinkedIn among them, on a credit system. As of 2026-07-13 its pricing page publishes three tiers: EUR 99/month for 10,000 credits, EUR 499/month for 100,000, and EUR 1,499/month for 500,000, most LinkedIn endpoints at 1 credit per call, with no free tier listed (netrows.com/pricing).

Its technical reference is gated: netrows.com/docs asks for an API key before showing endpoint documentation, so an agent cannot read field-level schemas before a human pays the monthly floor.

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), and no llms.txt or public OpenAPI spec was found (2026-07-13).

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 serves LinkedIn, Reddit, and X (formerly Twitter) with 17 tools over MCP and REST. No signup: the agent mints its own free key in one call, then calls run under a free per-IP daily budget of 200 credits (about 6,000 credits a month), no card. Every docs page ships a markdown twin. Pricing is per call and public. Auth: a free self-minted key over REST/CLI, or OAuth sign-in for MCP clients that support it.

| | Netrows | Veezee |
| --- | --- | --- |
| Scope | 55+ sources, multi-platform | LinkedIn, Reddit, X |
| Pricing | from EUR 99/month for 10,000 credits (netrows.com/pricing, 2026-07-13) | per call: 4 credits profile, 10 credits search, 4 credits company, 4 credits posts; no monthly floor |
| Free tier | none listed | 200 credits/day (about 6,000 credits/month), self-minted free key, no card, no signup, plus a one-time 10,000 credits grant on claim |
| Docs before paying | endpoint reference gated behind an API key | open: /docs, /openapi.json, llms.txt, field reference |
| Data terms | "obligation of means... exclusion of any obligation of result", no accuracy warranty | failed or unfulfilled keyed calls auto-refund |
| MCP Registry | not listed as of 2026-07-11 | listed: io.veezee/linkedin (registry.modelcontextprotocol.io) |

## Where each wins

Netrows covers far more ground: 55+ sources against Veezee's three platforms, 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, no demo call, and no signup form (the agent just calls it), per-call prices published up front, typed LinkedIn tools instead of a generic enrichment credit, every schema readable before a cent is spent (Netrows' docs need a key first), and a listing in the official MCP Registry so an agent can find and connect without custom setup.

## See also

All comparisons: [/alternatives](/alternatives). Head-to-head: [Bright Data's LinkedIn MCP](/vs/bright-data), [Crustdata](/vs/crustdata), [LinkdAPI](/vs/linkdapi), [ScrapeCreators](/vs/scrapecreators), [TwitterAPI.io vs SocialData vs Veezee](/vs/twitterapi-io), [SocialKit vs Veezee](/vs/socialkit). Migrating off a shut-down vendor? [/migrate/proxycurl](/migrate/proxycurl).