Cycling through all six. Tap any point to stop.

Measured on six things

Pay-as-you-go API access to 1,700+ data tools for AI agents.

Growth

Real problem (juggling API keys and subscriptions), specific wedge (one balance, per-call pricing, agent-native via Skill/MCP/CLI), and a category with headroom. Differentiation is real but copyable.

Screenshots

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Glasser

About this app

Glasser gives AI agents access to premium data APIs for SEO, people, companies, web search, social media and more. Connect through Skill, CLI or MCP, use one balance across providers, and see prices before each call. Built for developers and teams working on research, lead generation and automation. No subscription; pay per call.

Key features

11,700+ data APIs from Ahrefs, Semrush, Apollo, People Data Labs, DataForSEO and more, unified behind one balance.
2Agent-native connection via Skill (one prompt), MCP, or CLI, with quick-send to Claude Code, Codex, Cursor and Claude.ai.
3Pay-per-call pricing with no subscription, price visible before each call, and free search and price checks.

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

Developers building AI agents

Pain points

Managing multiple API keys and subscriptions for data access

Primary needs

Unified API with transparent pricing and easy integration

Demographic

Digital marketers and SEO professionals

Pain points

Expensive SEO tools with monthly subscriptions and limited API calls

Primary needs

Cost-effective, on-demand access to SEO and competitive data

Demographic

Recruiters and talent researchers

Pain points

High costs for people search and enrichment tools

Primary needs

Affordable, per-call access to candidate data and company insights

Scout Review

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

Glasser is a pay-per-call data API aggregator for AI agents, wrapping 1,700+ tools from Ahrefs, Semrush, Apollo, People Data Labs, DataForSEO and others behind one balance and one connection. The pitch is clean: no subscriptions, see the price before each call, connect via Skill, MCP or CLI. The execution is above average for its stage. The landing page is well-crafted and the pricing comparison is genuinely persuasive. The docs are structured and agent-readable. Lighthouse puts mobile performance at 90 and accessibility at 96. Security headers are 10/12 with HTTPS, HSTS, CSP and DMARC in place. The weaknesses are consistent and specific: a duplicated prompt box and an overlapping video button on the homepage, two failing accessibility audits around contrast and accessible names, missing Referrer-Policy and Permissions-Policy headers, and no published compliance or security disclosure of any kind. Growth is the interesting question. The problem is real and the wedge is sharp, but the moat is convenience on top of other people's APIs — copyable the moment an incumbent ships an MCP server. For developers who want agent-native data access without twelve subscriptions, this is a genuinely useful tool. For anyone betting on it as a durable platform, the defensibility question is still open.

Measure by measure

Usability

One-prompt Skill setup plus MCP and CLI paths, quick-send buttons to Claude/Cursor, and a real docs site with API/CLI references. FAQ covers failed-call billing. Onboarding is genuinely thought through.

Design

Clean, modern landing page with a strong dark AI-agent graphic and scannable pricing cards. Held back by a duplicated prompt box, an overlapping 'Watch video' button, and tiny low-contrast per-call prices.

Speed

Lighthouse mobile 90/100 (LCP 2.7s, TBT 90ms) and desktop 96/100. Snappy for a marketing page with this much content. CLS 0.106 is the only wobble.

Security

HTTPS enforced with HSTS, CSP, frame protection, SPF and DMARC (10/12 probe points). Missing Referrer-Policy and Permissions-Policy. No SOC 2, ISO or bug bounty published.

Accessibility

Lighthouse accessibility 96/100. Two failing audits: insufficient color contrast and visible text labels without matching accessible names. No WCAG statement published, but the automated baseline is strong.

Growth

Real problem (juggling API keys and subscriptions), specific wedge (one balance, per-call pricing, agent-native via Skill/MCP/CLI), and a category with headroom. Differentiation is real but copyable.

Improvement areas

No published security or compliance documentation — no SOC 2, ISO, pen-test summary or bug bounty program.
Two failing accessibility audits (color contrast, accessible names) and no WCAG conformance statement.
Homepage repeats the prompt box across sections and the 'Watch video' button overlaps the 'AI AGENT' headline.

Design & Usability

Glasser's homepage is a genuinely well-built piece of marketing. The hero pairs a bold headline with a terminal-style prompt box, and the integration grid below it — Ahrefs, Semrush, Apollo, PDL, TikTok, Amazon — does the heavy lifting of proving the '1,700+ tools' claim without a wall of text. The pricing comparison cards are the sharpest thing on the page: crossed-out $129/mo next to $0.055/call makes the value proposition scannable in about two seconds. The visual audit flagged real issues though: the same prompt box appears verbatim in multiple sections, the 'Watch video' pill overlaps the 'AI AGENT' headline text, and the use-case cards render per-call prices like $0.054 in a size and contrast that borders on invisible. On usability, this is where Glasser clearly invested. There are three documented connection paths — Skill (one prompt), MCP, and CLI — with quick-send buttons to Claude Code, Codex, Cursor and Claude.ai. The docs site is structured with Welcome, API Reference, CLI Reference and Integrations sections, plus an llms.txt index for agents. The FAQ even addresses how failed calls and empty results are billed, which is the exact question a pay-per-call product needs to answer up front. The gap is navigation: the audit noted no visible signposting for logged-in vs. new users, so the path from 'curious' to 'in my Workspace' isn't as clear as the path from 'curious' to 'connected'.

Speed & Security

Speed is a genuine strength. Lighthouse scored the mobile experience 90/100 with an LCP of 2.7s, TBT of 90ms and FCP of 2.3s; desktop came in at 96/100. For a page carrying a logo grid, a dark graphic, pricing cards and a use-case section, that's a well-optimized build — no heavy SPA penalty, no obvious render-blocking mess. The only measurable wobble is a CLS of 0.106, which is above the 'good' threshold and suggests something (likely the video pill or a lazy-loaded asset) shifts the layout after paint. No user complaints about lag surfaced in search, and no published benchmarks exist to compare against. On security, the HTTP probe returned 10 of 12 checklist points: HTTPS is enforced, HSTS is set, and CSP, frame protection, X-Content-Type-Options, SPF and DMARC are all present. The two gaps are Referrer-Policy and Permissions-Policy headers, both easy wins. More importantly, there's no published SOC 2, ISO 27001, penetration test summary or bug bounty program. For a product that holds a payment balance and brokers access to third-party data APIs on your behalf, the absence of any compliance or disclosure page is the notable gap — not a red flag, but a missing receipt. The header hygiene is above average for an early-stage product; the trust layer is not yet built.

Accessibility & Growth

Accessibility lands at a strong 80. Lighthouse's axe-core audit scored 96/100, which is well above typical for a marketing site of this density. Two audits failed: background/foreground contrast (consistent with the tiny low-contrast per-call prices the visual audit also caught) and visible text labels without matching accessible names — the latter is a real screen-reader problem, not a cosmetic one. There's no accessibility statement or WCAG conformance claim published, so the 96 is the automated floor, not a verified ceiling. On growth, the idea is sound and the positioning is specific. The problem Glasser names is real: developers and analysts juggling a dozen API keys and monthly subscriptions for data they use intermittently. The wedge is concrete — one balance, per-call pricing, agent-native access via Skill/MCP/CLI, and price visibility before each call. The target segments (AI agent builders, SEO teams, recruiters, lead-gen) are named with per-call prices attached, not vague personas. The category has headroom: agent-driven data access is growing, and the aggregator position is genuinely useful. The honest limit is defensibility. Glasser is a reseller layer on top of Ahrefs, Semrush, Apollo and PDL; its moat is convenience and pricing transparency, both of which incumbents can copy by shipping their own MCP servers. Traction is early — the domain was registered in 2026 and only a Twitter profile is listed — so the growth case rests on the idea, not the scoreboard.

Conclusion

If you're building agents that need real data — keyword volumes, company firmographics, people search, property records — Glasser removes a genuinely annoying layer of key management and subscription sprawl. The per-call pricing model is honest and the price-before-you-call feature is the right default. The setup is fast: one prompt to Claude Code or Cursor and you're connected. What you should know before committing: there's no SOC 2, no ISO, no pen-test summary and no bug bounty, so if you're in a regulated environment or handling sensitive data, you'll be doing your own due diligence. The missing Referrer-Policy and Permissions-Policy headers are minor but telling — the security posture is competent, not hardened. And the business model depends on reselling other vendors' APIs, which means pricing and availability are ultimately outside Glasser's control. Start with the $1 free credit, run a few real calls, and see whether the per-call economics actually beat what you're paying now. For intermittent, agent-driven data needs, they probably do. For heavy daily usage, do the math first.

Suggestions for improvement

Publish a security page with SOC 2 status, pen-test summary or bug bounty — even 'not yet certified' beats silence for a product holding balances.
Add Referrer-Policy and Permissions-Policy headers; they're two lines and close the 10/12 gap to a clean sweep.
Fix the two failing accessibility audits: raise contrast on the small per-call prices and give visible text labels matching accessible names.
De-duplicate the hero prompt box and reposition the 'Watch video' pill so it stops overlapping the 'AI AGENT' headline text.

How we score

Alternatives comparison

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

	Glasser	RapidAPI	Zapier
Pricing model	Pay per call, no subscription; $1 free credit to start	Monthly subscription tiers based on task volume	Free tier plus per-request pricing set by each API publisher
Primary use case	Giving AI agents access to premium SEO, people, company and social data APIs	Connecting SaaS apps into automated no-code workflows	Marketplace to discover and consume individual third-party APIs
AI agent integration	Native via Skill, MCP and CLI; one prompt setup for Claude, Codex, Cursor	AI features and agent actions, but workflow-first rather than agent-native	REST APIs consumable by agents but no native MCP or agent setup flow
Data source breadth	1,700+ curated premium tools across SEO, people, company, social, financial and property data	8,000+ app integrations focused on workflow automation, not raw data APIs	Tens of thousands of APIs across every category, quality varies widely
Transparent cost preview	Price shown before each call; search and price checks are free	Task-based billing; cost visible only after workflows run	Per-endpoint pricing listed, but no pre-call estimate for a task