# Veezee vs Crustdata

## What Crustdata publishes

Crustdata advertises a dataset of roughly 1 billion people and 60 million companies globally, delivered as a real-time API plus bulk files, and ships an MCP integration described as working inside Claude (crustdata.com). It does not publish dollar pricing: its pricing page describes "credit-based usage tiers" with sales contact for rates (crustdata.com/pricing).

API calls authenticate with an Authorization: Token header; public signup and free-tier terms are not stated on its marketing pages. Its docs index lists Company, Person, Job, Web, Batch, and Watcher APIs plus an MCP server, and no Reddit or X product (docs.crustdata.com/llms.txt, 2026-07-13).

On freshness, its own materials state profiles not already indexed are auto-enriched within 30-60 minutes, and live real-time retrieval endpoints are enterprise-plan-only (docs.crustdata.com, 2026-07-13).

## What Veezee offers

Veezee is a 17-tool MCP/REST surface across LinkedIn, Reddit, and X (formerly Twitter). Pricing is published per call. 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. Auth: a free self-minted key over REST/CLI, or OAuth sign-in for MCP clients that support it.

| | Crustdata | Veezee |
| --- | --- | --- |
| Coverage | ~1B people, ~60M companies, multi-platform | LinkedIn, Reddit, X |
| Pricing | not published; credit tiers via sales | per call, published: 4 credits profile, 10 credits search, 4 credits company, 4 credits posts |
| Free tier | not published | 200 credits/day (about 6,000 credits/month), no card, no signup, plus a one-time 10,000 credits grant on claim |
| Reddit / X | not in its docs index | reddit_search, x_search, threads, profiles, tweets |
| Freshness | unfound profiles enrich in 30-60 min; live endpoints enterprise-only (docs.crustdata.com, 2026-07-13) | synchronous on every call; data_as_of on every envelope; realtime fetch on any paid plan |
| MCP | yes, works inside Claude | yes, 17 tools over MCP and REST |

## Where each wins

Crustdata's dataset is far larger and spans data beyond LinkedIn's public surface; for company-level breadth or bulk exports it is the bigger tool. Its people search is also deeper: its own product announcement advertises roughly 60 filters with nesting against Veezee's handful of typed filters, and its marketing pages a person object with 90+ datapoints (crustdata.com/apis/people-enrichment, 2026-07-13).

Veezee's edge is evaluation cost, autonomy, and freshness you can verify: pricing is public and per-call rather than sales-gated, an agent mints its own free key and starts calling immediately instead of booking a demo, and every response stamps data_as_of and discloses cache age, with a freshness parameter that forces a live fetch on any paid plan.

That last point matters here: in Reddit comments we searched with Veezee's own reddit_search (2026-07-13), several commenters report stale Crustdata records. Veezee also covers Reddit and X on the same contract, which Crustdata's docs index does not offer at all.

## See also

All comparisons: [/alternatives](/alternatives). Head-to-head: [Bright Data's LinkedIn MCP](/vs/bright-data), [Netrows](/vs/netrows), [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).