AI Agent Tool Pricing

AI Agent Tool Pricing: How QVeris Prices Tool Calls

Q: How does credit-based AI agent tool pricing work?

QVeris pricing is based on a credits system. Discovery and inspection are always free. You only spend credits when your agent makes a successful capability call. Credit costs vary by capability — simple data queries cost ~1 credit, while complex operations like PDF parsing or financial report analysis cost 3–15 credits. Credits never expire.

Q: Can finance teams use QVeris?

Yes. QVeris is built with finance teams in mind, offering finance-related capabilities across equities, FX, commodities, fixed income, crypto, and alternative signals. Finance teams typically use the Pro or Enterprise plans depending on data volume, compliance requirements, and integration needs.

Estimate the real cost of AI agent tool calls, MCP server access, live data, and external API execution. QVeris pricing keeps discovery and inspection free, then charges credits only when your agent makes a successful call.

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Pricing Model

How AI agent tool pricing works in QVeris

AI agent tool pricing usually combines model tokens, tool execution, data provider fees, MCP hosting, and operational overhead. QVeris simplifies the tool layer with a credits-based model: discovery and inspection are always free, and credits are spent only when your agent makes a capability call.

Discover & Inspect are always free. Your agent can search across 10,000+ capabilities and inspect full parameter schemas, costs, provider notes, and quality metrics at zero cost.

Credits are consumed per call. Simple data queries cost ~1 credit. Complex operations like PDF parsing (3–10 credits) or financial report analysis (5–15 credits) cost more. Each capability displays its estimated cost during inspection.

Credits never expire. Purchased credits remain available indefinitely. No monthly reset, no use-it-or-lose-it policy.

Pricing depends on your usage profile. The right plan depends on your call volume, capability categories, integration method, and enterprise requirements. All plans include access to the REST API, Python SDK, MCP server, and CLI.

Plans

QVeris pricing plans for AI agent teams

From individual developers testing their first tool-calling agent to enterprise teams running production workflows across MCP, REST API, Python SDK, and CLI.

Developer Access

Free

$0 / forever

1,000 credits on signup
100 credits per day
10 requests/minute
REST API, Python SDK, MCP, CLI
Discover & inspect always free
Community support

Start Free

Team / Growth

Pro

$19 / month

10,000 credits per month
All 10,000+ verified capabilities
100 requests/minute
REST API, Python SDK, MCP, CLI
Full audit and execution history
Email support

Request Access

Scale On-Demand

Pay-as-you-go

$1+ / top-up

Credits from $1 with volume bonuses
No monthly commitment
Bonus credits at $100, $500, $1,000 tiers
All 10,000+ verified capabilities
Credits never expire
No rate limits

Get Started

Enterprise

Custom

Custom pricing

Dedicated capacity & custom SLAs
RBAC & enterprise governance
Dedicated support
Custom integrations
Volume discounts
Custom SLAs
Enterprise governance options
Custom billing options available on request

Scale On-Demand

Pay-as-you-go AI agent credits for tool calls

Use pay-as-you-go credit packages when your AI agent workload is bursty, seasonal, or still being tested. Purchase credits in packages, receive bonus credits at higher tiers, and avoid fixed monthly commitments.

💠

$100

50,000 + 2,500 bonus credits
+5% bonus

💎

$500

250,000 + 25,000 bonus credits
+10% bonus

👑

$1,000

500,000 + 75,000 bonus credits
+15% bonus

Cost Factors

What affects AI agent tool pricing in QVeris

Your cost depends on how often your agents call tools, which capability categories they use, and whether you need enterprise controls. These are the main variables behind QVeris credit consumption.

📊

Capability volume & categories

Number of capability calls per month and which categories you use. Financial data, document parsing, and real-time APIs have different credit costs based on data depth and provider complexity.

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Integration method

All integration methods — REST API, Python SDK, MCP server, and CLI — are included in every plan. You are not charged differently based on which interface your agent uses.

🛡️

Enterprise requirements

Security, RBAC, audit trails, custom SLAs, compliance support, and dedicated capacity affect enterprise pricing. Contact sales to discuss your organization's specific requirements.

📈

Data provider & sourcing

Capabilities sourced from premium financial data providers or specialized compliance databases may have different credit costs. Each capability shows its provider and estimated cost before you call.

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Observability & audit needs

All plans include execution IDs, session tracking, and credit ledgers. Enterprise plans add custom retention policies, dedicated dashboards, and compliance-ready audit exports.

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Support & governance

Developer and Pro plans include community and email support. Enterprise options may include dedicated support, custom integrations, volume discounts, governance controls, and custom SLAs.

Compare Plans

QVeris pricing model compared by plan

Compare free discovery, MCP server access, tool calling credits, rate limits, audit history, and enterprise support across each QVeris plan.

QVeris workflow: Discover and Inspect always free, Call consumes credits

Feature	Free	Pro	Scale On-Demand	Enterprise
Capability discovery	Included	Included	Included	Included
Capability inspection	Included	Included	Included	Included
Structured tool calling	Credits-based	10,000 credits/mo	Pay-as-you-go	Custom
Verified capabilities	Limited selection	10,000+	10,000+	10,000+
MCP server access	Included	Included	Included	Included
CLI access	Included	Included	Included	Included
Python SDK	Included	Included	Included	Included
REST API	Included	Included	Included	Included
Rate limit	10 req/min	100 req/min	Unlimited	Custom
Audit & execution history	Basic	Full	Full	Advanced
Credits expiration	Never expire	Never expire	Never expire	Custom
Support	Community	Email	Email	Dedicated engineer

By Use Case

AI agent tool pricing by use case

How different teams estimate QVeris credits for finance agents, research agents, MCP workflows, compliance checks, and agentic SaaS products.

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AI agent developers

Start with the Free plan to test discovery and inspection. Move to Pro ($19/mo) when your agent starts making regular capability calls. Scale On-Demand for variable workloads.

📈

Finance AI agents

Finance teams typically use Pro or Enterprise plans depending on data volume and compliance needs. Market data queries cost ~1 credit; financial reports 5–15 credits.

🔬

Investment research teams

Research agents consuming earnings data, analyst consensus, and fundamentals benefit from Pro or Scale On-Demand plans. Credit usage scales with query frequency and data depth.

✅

Compliance workflows

KYC, sanctions screening, and regulatory checks require full audit trails and execution history. Pro or Enterprise plans recommended. Enterprise options may include governance and enterprise support options.

🏗️

Agentic SaaS products

Teams embedding QVeris into their products typically start on Pro and move to Enterprise for dedicated capacity, custom SLAs, and priority support as customer usage grows.

🔗

MCP & multi-platform teams

All plans include MCP server, CLI, Python SDK, and REST API access at no additional cost. Teams using MCP alongside Model Context Protocol can start on Free and scale as needed.

FAQ

Frequently asked questions

What is QVeris pricing for AI agent tool calls?

QVeris uses transparent AI agent tool pricing. The Free plan costs $0 with 1,000 signup credits plus 100 daily credits. The Pro plan is $19/month with 10,000 credits. Scale On-Demand starts at $1 for pay-as-you-go credits. Enterprise plans have custom pricing based on your organization's requirements. All plans include REST API, Python SDK, MCP server, and CLI access.

How does credit-based AI agent tool pricing work?

QVeris uses a credits-based model for AI agent tool calls. Discovery and inspection are always free. You only spend credits when your agent makes a capability call. Credit costs vary by capability type — simple data queries cost ~1 credit, PDF parsing costs 3–10 credits, and financial report analysis costs 5–15 credits. Each capability displays its estimated cost before your agent commits.

Is there a free QVeris plan?

Yes. The Free plan includes 1,000 credits on signup plus 100 credits per day. It provides access to core capabilities with a 10 requests/minute rate limit. Discovery and inspection are always free regardless of which plan you are on.

Does QVeris support enterprise pricing?

Yes. QVeris offers Enterprise plans with custom pricing based on your organization's usage volume, capability categories, integration requirements, security needs, and support expectations. Enterprise options may include dedicated support, custom integrations, volume discounts, governance controls, and custom SLAs. Contact the QVeris sales team to discuss your enterprise requirements.

Is QVeris pricing based on tool call or API usage?

Yes. QVeris uses a credits-based model where credits are consumed per successful capability call, regardless of whether the agent uses REST API, Python SDK, MCP server, or CLI. Discovery and inspection calls are always free and do not consume credits. The Pro plan includes 10,000 credits per month. Scale On-Demand lets you purchase credit packages starting at $1.

How is QVeris different from MCP server pricing?

MCP server pricing usually covers hosting, infrastructure, or a specific tool connector. QVeris pricing covers successful capability calls across MCP, REST API, Python SDK, and CLI. Discovery and inspection are free, so teams can compare schemas, providers, and estimated cost before spending credits.

Does QVeris charge for Discover and Inspect?

No. Discover and Inspect are always free. Credits are consumed only when an agent makes a successful Call.

Does pricing vary by capability category?

Yes. Different capability categories have different credit costs based on data provider costs, data depth, and computational complexity. Real-time market data queries typically cost ~1 credit, while complex financial report analysis costs 5–15 credits, and specialized compliance checks may vary. Each capability displays its estimated cost during the free inspection phase.

Can finance teams use QVeris?

Yes. QVeris was built with finance teams in mind and offers finance-related capabilities across equities, FX, commodities, fixed income, crypto, and alternative signals. Finance teams typically use the Pro ($19/month) or Enterprise plans depending on data volume, compliance requirements, and the need for custom capability access.

How do I get started with QVeris?

Sign up for a free account at qveris.ai to receive 1,000 starter credits. Install the Python SDK (pip install qveris), use the REST API directly, or connect via the MCP server. Run your first discover query to explore available capabilities. When you need more credits, upgrade to Pro or purchase a Scale On-Demand package.

Does QVeris support MCP, CLI, Python SDK, and REST API?

Yes. All QVeris plans include full access to the REST API, Python SDK, MCP server, and CLI at no additional cost. Your integration method does not affect pricing — you pay based on capability calls made, not which interface your agent uses. QVeris supports the Model Context Protocol natively.

Is QVeris suitable for production AI agent workflows?

Yes. QVeris is designed for production use with a 99.99% uptime, sub-500ms p95 latency, sandboxed execution environment, RBAC access controls, and full audit trails for every capability call. The Pro and Enterprise plans are built specifically for teams running AI agents in production. Every call produces a unique execution ID linked to a search session for full traceability.