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Measured on six things

AI agent data API for LinkedIn, Reddit, and X profiles an...

Growth

Extremely early; only aggregator listings from the last few days, zero independent reviews or community signals found.

Screenshots

1 / 4

Veezee

About this app

If you've ever tried to get your AI agent to read LinkedIn profiles or scan Reddit threads, you know how painful it is. Veezee cracks that wide open. It's a data API built specifically for AI agents, giving them structured access to people search, profile enrichment, and discussion search across LinkedIn, Reddit, and X (Twitter). The best part? Your agent can mint its own free API key in a single call—no signup, no credit card. Just a clean MCP or REST endpoint. I was blown away by how easy it was to set up: my Claude agent had Veezee connected in under 30 seconds, and within a few more calls I had a full Reddit sentiment analysis on a product launch. The free tier gives 200 credits per day, which is enough for quite a bit of light scouting. For anything serious, the flex pack or production plan unlocks real-time fetches and higher limits. What really sells me is how agent-friendly it is: MCP, CLI, REST, SDK, even n8n workflows. This is a huge time saver for anyone building autonomo...

Key features

1Agent-self-minting API keys with no signup or card required (200 free credits/day per IP)
2Unified credit meter across LinkedIn profile/company search, Reddit discussion search, and X data
3Native MCP support plus REST, CLI, TypeScript SDK, and n8n templates for quick agent integration

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

AI Developer / Engineer

Pain points

Need real-time social data for agents, but official APIs are expensive and require OAuth flows.

Primary needs

Easy-to-integrate API with MCP support, free tier for prototyping, no signup friction.

Demographic

Sales Intelligence / Lead Generation Professional

Pain points

Manual LinkedIn prospecting is slow; existing tools are costly and don't feed into AI agents.

Primary needs

Automated LinkedIn profile and company research, search by criteria, enriched data output.

Demographic

Market Research Analyst

Pain points

Tracking Reddit and X sentiment manually is too much volume; need automated discussion scraping.

Primary needs

Keyword-based Reddit/X search with date ranges, thread structure, sentiment aggregation.

Demographic

Recruiter / Talent Sourcer

Pain points

Finding candidates at target companies is time-consuming; LinkedIn limits search results.

Primary needs

People search by company/title, profile enrichment, recent post activity.

Scout Review

Written by AI from measured evidence, scored out of 100.

Veezee solves a real pain point for AI agents that need structured social data without OAuth headaches or expensive official APIs. The free tier with self-minting keys is genuinely agent-friendly, and the credit-based pricing across LinkedIn, Reddit, and X in one meter is cleaner than most alternatives. Execution is solid on usability and speed, average on design, and light on security depth and traction. It is a promising early-stage tool for builders who value low friction over enterprise compliance.

Measure by measure

Usability

Extremely low-friction onboarding: agents mint keys themselves, docs are thorough, and MCP/CLI/REST options cover most workflows with clear credit costs.

Design

Dark terminal aesthetic fits the AI-agent developer niche well, but the homepage feels sparse with a tiny low-contrast demo window and undifferentiated CTAs.

Speed

Strong Lighthouse scores (96 mobile / 98 desktop) with fast LCP and near-zero layout shift; no lag complaints surfaced.

Security

Basic HTTPS + HSTS in place, but missing CSP and most security headers; no published audits or compliance claims found.

Accessibility

Solid 94 Lighthouse score undercut by contrast and heading-order issues; no WCAG statement or multi-language support visible.

Growth

Extremely early; only aggregator listings from the last few days, zero independent reviews or community signals found.

Improvement areas

Homepage demo window is too small and low-contrast to showcase value
No published security audits or advanced headers beyond basic HTTPS/HSTS
Zero independent reviews or community traction after recent launch

Design & Usability

Veezee leans hard into the terminal aesthetic that its target audience (AI engineers) already lives in. The dark theme and green-bullet MCP examples feel native rather than tacked on. Onboarding friction is genuinely minimal: an agent can mint its own key and start pulling LinkedIn or Reddit data in one round-trip. Documentation is unusually complete for a new product, listing every tool’s exact credit cost and recovery steps. The main design weakness is the homepage itself—tiny demo windows and competing green buttons make the value proposition harder to grasp at a glance than it should be.

Speed & Security

Performance is a clear strength. Lighthouse scores sit in the mid-90s on both mobile and desktop with excellent LCP and negligible shift, suggesting the site is lightweight and well-optimized. Security is more table-stakes: HTTPS and HSTS are present, but the absence of CSP, referrer policy, and any third-party audits keeps the score modest. No breach history or compliance claims appear anywhere, which is normal for a product this young but still leaves it behind more mature data APIs on enterprise checklists.

Accessibility & Growth

Accessibility lands in the upper part of its measured band thanks to the high Lighthouse score, though two contrast and heading issues remain. No explicit a11y documentation or multi-language support was found. Growth is the weakest dimension by far—essentially zero independent signals after a very recent launch. No Product Hunt launch, no G2 reviews, no visible community. The product’s agent-first positioning is novel, but it has not yet accumulated the traction or social proof that would move it out of the early-experiment category.

Conclusion

If you’re shipping an autonomous agent today and need quick Reddit sentiment or LinkedIn enrichment without another OAuth flow, Veezee is worth the 30-second setup. Just keep an eye on credit burn once you move past the free daily allowance.

Suggestions for improvement

Enlarge the hero terminal demo and add visual hierarchy between primary and secondary CTAs
Publish a short security page listing current headers and any planned audits
Add an accessibility statement and fix the two failing contrast/heading audits
Ship a public changelog and consider a lightweight community channel once the first users arrive

How we score

Alternatives comparison

Named competitors, point by point. Nobody paid to appear here or to be left out.

	Veezee	Proxycurl	Apify
LinkedIn profile & people search	Yes - linkedin_get_profile (4cr), linkedin_search_people (10cr)	Yes - core offering, per-record pricing	Yes - via LinkedIn actors, requires setup
Reddit & X support	Yes - reddit_search (6cr), x_search (6cr) included	No - LinkedIn only	Yes - separate actors for Reddit/X
Free tier / no-signup key mint	Yes - 200 credits/day per IP, one-call mint, no card	No - requires signup and paid plans	Limited free trial; requires account
MCP / agent-native integration	Yes - dedicated MCP endpoint, Claude/Cursor snippets	No - REST only	No - not MCP-optimized