Agentery pricing intelligence · Provider profile · Qveris Agent Toolkit
Provider profile · independently tracked by Agentery
Qveris Agent Toolkit logo

Qveris Agent Toolkit

qveris.ai official website

routes AI agents to real-world, verified capabilities (live data, tools, external services) via discover, inspect, and call operations through one unified prot…

infrastructurePricing checked daily
Agentery value verdictPriced near the marketfrom $1/mo
Observed entry price$1/molowest observed monthly
Billing modelfreemium
Last checked28 Jul 2026pricing & liveness

What it does

The specific capability behind this listing, and where to get it.

routes AI agents to real-world, verified capabilities (live data, tools, external services) via discover, inspect, and call operations through one unified protocol

natural language prompts/task intent, capability names, and JSON parameters via CLI, MCP, Python SDK, or REST API → structured JSON output (capability results, live data) plus inspection metadata like latency, success rate, and credit cost
MCPPython SDKREST APICLIHermes AgentOpenClawCursorClaude CodeMCPSDKAPIautonomy: infrastructure

Pricing & plans

Observed public pricing for Qveris Agent Toolkit, benchmarked against comparable providers. Plans, tiers, history and scenario below.

Pricing · observed daily
per · market position

$1 /

93.1% below the median.
this agent · $1
$7median $14.50$29
observed 2026-07-11 · rechecked daily · source evidence retained
What should this agent charge?

The current price is deliberately competitive.

pricing recommendation
$1
$7$29
$14.50

$1 is positioned against a $7–$29 observed middle market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

93.1% below the median.

get_agent_profile · plan history

per observed 2026-07-11.

pricing recommendation

Percentile unavailable for this basis.

confidence

Source page rechecked daily.

Interactive provider scenario

Test a different price for this plan.

Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.

$1 / month
$1 lowestmedian $14.50$44 highest
Competitive value position. At $1/month, this plan is 93.1% below the niche median.
1st
-93.1%
$7$29

Is Qveris Agent Toolkit good value?

How its price compares with genuinely comparable providers.

Priced near the market

Priced near the market for its buyer tier.

Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 0% around the observed median.

Observed commercial price$1/mo
NicheAgent Network Protocol
Price benchmarkapplicable
How it compares

Compared with Agent Network Protocol

Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit. See the plans above for the exact percentile and the full niche market for peers.

View the full niche →

Comparable Agent Network Protocol

Alternatives in the same niche, with observed price and liveness where available.

View the full niche →
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "qveris_agent_toolkit",
  "name": "Qveris Agent Toolkit",
  "url": "https://qveris.ai/",
  "logo": "https://agentery.com/logos/CP-3KD9ER.svg",
  "niche": "agent-network-protocol",
  "category": "developer-tools-infra",
  "short_summary": "routes AI agents to real-world, verified capabilities (live data, tools, external services) via discover, inspect, and call operations through one unified prot…",
  "task_performed": "routes AI agents to real-world, verified capabilities (live data, tools, external services) via discover, inspect, and call operations through one unified protocol",
  "inputs_accepted": [
    "natural language prompts/task intent",
    "capability names",
    "and JSON parameters via CLI",
    "MCP",
    "Python SDK",
    "or REST API"
  ],
  "outputs_produced": [
    "structured JSON output (capability results",
    "live data) plus inspection metadata like latency",
    "success rate",
    "and credit cost"
  ],
  "integrations_available": [
    "MCP",
    "Python SDK",
    "REST API",
    "CLI",
    "Hermes Agent",
    "OpenClaw",
    "Cursor",
    "Claude Code",
    "Discord",
    "GitHub",
    "npm",
    "ClawHub"
  ],
  "protocols_or_interfaces": [
    "MCP",
    "SDK",
    "API"
  ],
  "industry_fit": [
    "developer tools (with finance/market-data capability providers)"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "unclear",
  "pricing_model": "freemium",
  "price": {
    "observed": false,
    "billing": "unknown",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "No public price found on the vendor site.",
    "confidence": "low",
    "source_url": "https://qveris.ai/pricing",
    "checked_at": "2026-07-26T06:36:19.947Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "GitHub 225 stars",
    "99.99% uptime claim",
    "10,000+ capabilities",
    "<500ms p95 latency",
    "full audit trail",
    "Security page referenced"
  ],
  "evidence_quality": "high",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "enterprise security page only",
  "evidence_urls": [
    "https://qveris.ai/",
    "https://github.com/QVerisAI/qveris-agent-toolkit"
  ],
  "last_checked": "2026-06-17",
  "how_to_connect": {
    "website": "https://qveris.ai/",
    "docs": "https://github.com/documentation",
    "mcp": null,
    "a2a": null,
    "api": {
      "docs_url": "https://github.com/developer",
      "endpoint": null
    },
    "protocols": [
      "MCP"
    ],
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 695,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:37:25.980Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}