Irmu vs Qveris
Irmu vs Qveris: score breakdown
Qveris scores 68/100 against 64/100 for Irmu, a 4-point gap. Irmu is ahead on Ease of use (19 vs 17); Qveris is ahead on Capability (19 vs 17) and Value (20 vs 16); they tie on Delivery (12). Each sub-score is out of 25.
Features and platforms
| Feature | Irmu | Qveris |
|---|---|---|
| Pricing model | Freemium | Freemium |
| Free plan | Yes | Yes |
| Platforms | Web, REST API, MCP server | Web, CLI, Python SDK, JavaScript SDK, MCP Server, REST API |
| Best for | Solo developers and small teams building data pipelines who want one API key for scraping, rendering, and AI extraction. | Developers building finance-focused or data-heavy AI agents who want pay-per-call pricing with no subscription lock-in. |
| Skip if | Teams needing multi-step browser automation or a standalone proxy endpoint today; those features are planned but not yet available. | Teams that need a proven, community-validated platform with extensive third-party integrations and managed OAuth flows out of the box. |
Cost and usage limits
Irmu has a free plan. Qveris has a free plan.
Prices from each vendor's pricing page. Irmu checked November 2026 · Qveris checked September 2026
Pros and cons
Irmu
- Single credit pool covers scraping, JavaScript rendering, screenshots, AI extraction, Google SERP, Google AI Overviews, ChatGPT answers, and Booking.com data, with no separate keys or quotas per API.
- Geotargeting by country, region, and city is free on every request and every plan, including the free tier, which is uncommon among comparable scraping APIs.
- MCP server with OAuth 2.1 or API key auth lets developers connect Irmu directly to Claude, Cursor, or ChatGPT without writing REST integration code.
- Both the Proxy API (standalone IP pool endpoint) and the Browser API (multi-step scripted sessions) are listed as planned features but are not part of the live product, making the product page misleading for developers who need those capabilities now.
- Premium residential IPs and AI extraction are locked behind the $90/month Standard plan; the $19 Starter and $40 Lite tiers only offer datacenter IPs, which limits their usefulness against sites with meaningful anti-bot protection.
- Scheduling and webhooks, essential for any recurring crawl job, only appear at the $200/month Pro tier, forcing teams with modest volume but recurring needs to pay for 3,000,000 credits per month whether they use them or not.
Qveris
- Pay-per-call credit model with no monthly subscription and credits that never expire, which is structurally cheaper than subscription-gated competitors for intermittent or bursty agent workloads.
- 138 documented finance-specific capabilities covering equities, fixed income, crypto, macro indicators, and alternative signals, making it the most finance-focused option in this category.
- CLI runs as a subprocess outside the LLM context, claiming up to 80% fewer prompt tokens versus a standard MCP setup, with an open-source toolkit on GitHub that is fully inspectable.
- No independent third-party reviews, G2 listings, or Product Hunt entries found during research, making the platform's production reliability claims impossible to verify from outside sources.
- The comparison guides published on qveris.ai against Composio, Polygon, and Alpha Vantage carry an explicit conflict-of-interest disclosure since QVeris itself is the publisher, reducing their value as objective benchmarks.
- Rate limit on the free tier is capped at 10 requests per minute, and the Pro plan at 100 req/min may constrain high-throughput agent pipelines without moving to the Scale top-up tier, which has no published rate limit ceiling.
Our verdict
Irmu verdict
Irmu suits developers who want a single API key covering scraping, JavaScript rendering, screenshots, and AI extraction without stitching together separate services. The credit model is transparent and geotargeting is free at every tier, but residential IPs and AI extraction only enable at the $90/month Standard plan, putting real production features out of reach for the $19 and $40 tiers. Teams that need multi-step browser automation or a dedicated proxy endpoint should look elsewhere: both are listed on the roadmap but not yet shipped.
Read full Irmu review →Qveris verdict
QVeris is the clearest option for developers building AI agents that need structured, auditable access to financial data and external APIs without committing to a monthly subscription. Its pay-per-call credit model is genuinely different from subscription-gated competitors, but the platform is early-stage with thin public user sentiment and no visible third-party reviews to validate its reliability claims. Teams that need a mature, battle-tested agent tooling layer with a large community should look at Composio or similar established players instead.
Read full Qveris review →