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Measured on six things

Connect AI agents to 10,000+ real-world tools and APIs

Growth

Real problem (agent capability routing), specific finance wedge (market data, KYC, on-chain) that general tools like Zapier and Composio don't own. Early stage — domain registered Aug 2025.

Screenshots

1 / 5

QVeris AI

About this app

QVeris AI positions itself as the capability routing network for AI agents, solving a problem that's becoming increasingly obvious as agent-based workflows mature: the gap between what an agent can reason about and what it can actually *do* in the real world. Instead of hardcoding provider integrations for every data source or tool an agent might need, QVeris offers a unified protocol to discover, inspect, and call real-world capabilities — live data, financial feeds, KYC services, on-chain signals, and more. The workflow is deliberately simple: agents (or developers) run a natural-language discovery query, inspect each returned capability for latency, success rate, and credit cost, then execute a call that returns structured JSON. Discovery and inspection are free; execution costs credits, with 1,000 free credits on signup. Pricing is pay-per-call rather than subscription-based, which is refreshing in a space full of seat-based SaaS traps. Where QVeris shines is in finance-focuse...

Key features

1Unified discover/inspect/call protocol for agents to find and execute real-world capabilities via natural language.
2Finance-focused capability domains: market data, macro/fixed income, KYC/sanctions, on-chain signals, investment research.
3Pay-per-call pricing with 1,000 free signup credits, $19 for 10,000 credits, and credits that never expire.
4Hosted MCP server plus CLI (curl/npm/npx) and local stdio fallback, with setup prompts for 27 agent platforms.
5QVeris Lab research workspace with resumable conversations, tool-call tracing and source evidence.

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

Quant developers and hedge fund engineers

Pain points

Hardcoding market data providers, dealing with flaky APIs and rate limits

Primary needs

Reliable, low-latency routing to market data with fallback and audit

Demographic

AI agent builders and MCP developers

Pain points

Every integration is bespoke; no unified way for agents to discover tools

Primary needs

One protocol for discovery, inspection, and execution with SDKs

Demographic

Compliance and risk analysts in finance

Pain points

KYC, sanctions, and counterparty checks scattered across vendors

Primary needs

Traceable, auditable capability calls with clear billing evidence

Demographic

Investment research teams and analysts

Pain points

Context lost between chats; sources and tool calls untracked

Primary needs

Resumable research workspace with evidence and source lineage

Scout Review

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

QVeris AI is a capability routing network for AI agents — discover, inspect, call — with a finance-focused wedge. The pitch is clean: instead of hardcoding every data provider, your agent runs a natural-language discovery query, inspects latency/success-rate/credit-cost, then executes a call that returns structured JSON. Discovery and inspection are free; execution costs credits, with 1,000 free on signup and pay-per-call pricing ($19 for 10,000 credits, no subscription). The site is polished, the docs are unusually thorough for an early-stage product (CLI, Hosted MCP, stdio fallback, 27 platform setup prompts), and the security headers are fully locked down. Mobile Lighthouse performance is 92/100, though desktop drops to 75. Accessibility scores 100/100 on automated checks but has no WCAG statement. The real question is growth: the finance wedge is specific and defensible against general-purpose tools like Zapier and Composio, but the product is early — domain registered August 2025 — and the category is crowded with well-funded data incumbents. A competent, well-positioned early-stage product with a clear thesis and room to prove it.

Measure by measure

Usability

Clear onboarding: 1,000 free credits, free discover/inspect, sign-in only for execution. Docs cover CLI, Hosted MCP and stdio fallback, plus 27 platform setup prompts.

Design

Dark terminal-style hero with a live discover/inspect/call demo, consistent branding across homepage, pricing and docs. Polished developer-tool aesthetic, though no visual audit was captured to confirm rendering.

Speed

Lighthouse mobile 92/100 (LCP 1.8s, CLS 0.023, TBT 153ms). Desktop drops to 75/100 — solid overall, but the desktop gap is worth a look.

Security

Full security-header sweep: HTTPS, HSTS, CSP, frame protection, X-Content-Type-Options, Referrer-Policy, Permissions-Policy, SPF, DMARC — 12/12. No SOC 2 or pen-test claim published.

Accessibility

Lighthouse accessibility 100/100 and an EN language toggle in the header. No WCAG statement or dedicated accessibility page published yet.

Growth

Real problem (agent capability routing), specific finance wedge (market data, KYC, on-chain) that general tools like Zapier and Composio don't own. Early stage — domain registered Aug 2025.

Improvement areas

No published SOC 2, ISO 27001, pen-test or bug-bounty program despite handling financial and KYC data.
Desktop Lighthouse performance (75) trails mobile (92) by 17 points — investigate the rendering gap.
No WCAG conformance statement or documented keyboard/screen-reader testing behind the 100/100 automated score.
Public capability catalog and provider coverage details are gated behind sign-in, slowing evaluation.

Design & Usability

QVeris AI presents itself as a capability routing network for AI agents, and the site backs that up with a coherent dark developer-tool aesthetic — a terminal-style hero running a live discover/inspect/call demo, consistent typography and nav across homepage, pricing and docs. No screenshot-based visual audit was captured, so the rendering itself is judged from structure and copy rather than pixels. Usability is where the product earns its keep: 1,000 free credits on signup, discover and inspect permanently free, execution gated behind sign-in. The docs page is genuinely useful — CLI install via curl, npm or npx, Hosted MCP config JSON, and a local stdio fallback for clients without remote HTTP. Twenty-seven agent platforms are listed with copy-paste setup prompts for ChatGPT Codex, Claude, Cursor, Cherry Studio and WorkBuddy. The onboarding path from 'what is this' to 'my agent just called a capability' is short and well-lit.

Speed & Security

Speed is a mixed bag with a clear split: Lighthouse mobile performance lands at 92/100 with an LCP of 1.8s, CLS of 0.023 and TBT of 153ms — genuinely snappy on phones. Desktop, however, drops to 75/100, which is a real gap worth investigating; the same content should not be meaningfully slower on a bigger screen. No published benchmarks or user lag complaints surfaced in the collected evidence, so the desktop number is the main signal. Security is strong on the fundamentals: the HTTP probe returned 12/12 checklist points, with HTTPS enforced, HSTS, CSP, frame protection, X-Content-Type-Options, Referrer-Policy and Permissions-Policy all present, plus SPF and DMARC configured. What's missing is the compliance layer — no SOC 2, ISO 27001, pen-test report or bug bounty is published anywhere on the site. For a product handling financial data, KYC and sanctions screening, that's a gap worth closing before enterprise buyers show up.

Accessibility & Growth

Accessibility scores well on automated checks: Lighthouse returned a perfect 100/100, and the site ships an EN language toggle in the header, suggesting some i18n groundwork. What's absent is the human layer — no WCAG conformance statement, no dedicated accessibility page, no documented keyboard-navigation or screen-reader testing. Automated audits catch roughly a third of real WCAG issues, so 100/100 is a floor, not a ceiling. Growth is the more interesting question. QVeris names a real problem — agents need a unified way to discover, inspect and call external capabilities instead of hardcoding provider integrations — and it picks a specific wedge: finance. Market data, macro, KYC/sanctions, on-chain signals and investment research are domains where Zapier's no-code automations and Composio's general SaaS tool library are structurally weaker. LangChain Tools offers flexibility but no hosted routing, quality signals or usage billing. The pay-per-call pricing (1,000 free credits, $19 for 10,000, credits never expire) is a sensible fit for bursty agent workloads. The limit is that the wedge is narrow: finance capability routing is a real market, but it's also one where incumbents like Bloomberg, Refinitiv and Polygon already own the data relationships. QVeris's bet is that agents will route through a protocol layer rather than direct integrations — plausible, but unproven, and the domain is only about a year old.

Conclusion

QVeris AI is the kind of product that makes sense the moment you've built an agent that needs live market data and you're tired of writing a new provider integration every Tuesday. The discover/inspect/call protocol is a genuinely useful abstraction, the free tier is generous enough to evaluate properly, and the docs respect your time. The gaps are the usual early-stage ones: no published compliance certifications despite handling financial and KYC data, a desktop performance score that trails mobile by 17 points, and no accessibility statement to back up the perfect automated score. None of these are dealbreakers for a developer evaluating the tool today. They are the things that will decide whether QVeris stays a clever indie project or becomes infrastructure that a hedge fund's compliance team will actually sign off on. Worth a look if you're building finance agents; worth watching if you're not.

Suggestions for improvement

Publish a SOC 2 Type II roadmap or at least a security page — financial and KYC data buyers will ask before they sign.
Investigate the desktop Lighthouse gap (75 vs 92 mobile); the same content shouldn't be meaningfully slower on larger screens.
Add a WCAG conformance statement and document keyboard/screen-reader testing to back up the 100/100 automated score.
Surface a public capability catalog or provider list so evaluators can gauge coverage before signing up for credits.

How we score

Alternatives comparison

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

	QVeris AI	Zapier	Composio	LangChain Tools
Primary purpose	Capability routing network for AI agents — discover, inspect, call real-world tools via one protocol	No-code workflow automation connecting thousands of business apps	Tool integration platform for AI agents with pre-built actions and auth management	Open-source framework providing tool abstractions for LLM agents
Finance-specific capability depth	Deep: market data, macro/fixed income, KYC/sanctions, on-chain, investment research domains	None specific — general business app connectors	Broad SaaS tools, light on finance-specific depth	None built-in — developer supplies their own tools
Hosted routing with quality signals	Yes — inspect shows live latency, success rate and credit cost before calling	No — workflow automation, not latency-aware routing	Partial — hosted actions but limited provider quality signals	No — self-hosted framework, no routing layer
Pricing model	Pay-per-call credits: 1,000 free, $19 for 10,000, credits never expire	Tiered subscription based on task volume	Subscription tiers for agent tool access	Free open source; paid LangSmith/LangGraph platform tiers
Agent integration paths	Hosted MCP, CLI (curl/npm/npx), stdio fallback, setup prompts for 27 platforms	No-code workflows plus API; limited native agent/MCP support	SDKs and MCP support for agent frameworks	Python/JS SDKs, tool abstractions for LLM agents
Audit trail and billing evidence	Full call audit trail, metered billing evidence, credits ledger	Task history and usage logs per workflow	Action logs; billing evidence less granular	Tracing via LangSmith; no built-in billing layer

Zapier

Widely used automation platform connecting thousands of apps with no-code workflows. Strong for business automation, weaker for agent-native capability discovery and financial data routing.

Composio

Tool integration platform for AI agents offering a large library of pre-built actions and auth management. Closer in spirit to QVeris but broader in general SaaS tools, lighter on finance-specific depth.

LangChain Tools

Open-source framework providing tool abstractions for LLM agents. Flexible and developer-friendly, but doesn't offer hosted routing, provider quality signals, or usage-based billing.

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