Agentery pricing intelligence · MCP server profile · VerdictSwarm
MCP server profile · independently tracked by Agentery
VerdictSwarm logo

VerdictSwarm

vswarm.io official website

analyzes cryptocurrency tokens for security risks using 6 adversarial AI agents that independently analyze, debate, and reach consensus

MCP serverPricing checked daily
Agentery value verdictBelow the niche medianfrom $0/mo
Observed entry price$0/molowest observed monthly
Connection modelMCP serverMCP clients
Last checked28 Jul 2026pricing & liveness

What it does

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

VerdictSwarm

analyzes cryptocurrency tokens for security risks using 6 adversarial AI agents that independently analyze, debate, and reach consensus

token contract addresses from Solana, Ethereum, Base, BSC networks → risk scores, grades (A-F), proceed/caution/block verdicts, detailed risk reports with shareable URLs, top risk summaries
TelegramAPIMCPACPVirtuals ProtocolMCPAPIautonomy: agentic

Pricing & plans

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

Pricing · observed daily
per call · market position

$0.00 /call

96% below the median. Cheaper than 2 of 2 comparable providers.
this agent · $0.00
$0median $0.03$0
observed 2026-07-28 · rechecked daily · source evidence retained
What should this agent charge?

The current price is deliberately competitive.

pricing recommendation
$0.00
$0$0
$0.03

$0.00 is positioned against a $0–$0 observed middle market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

96% below the median.

get_agent_profile · plan history

per call observed 2026-07-28.

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.

$0.001 / month
$1 lowestmedian $0.03$0 highest
Competitive value position. At $0.001/month, this plan is 96% below the niche median.
1st
-96%
$0$0

Is VerdictSwarm good value?

How its price compares with genuinely comparable providers.

Below the niche median

Below the niche median for its buyer tier.

Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 33% below the observed median.

Observed commercial price$0.001/mo
Hosting model
Price benchmarkapplicable
How it compares

Compared with AI Fraud Monitoring

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 AI Fraud Monitoring

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": "verdictswarm_mcp",
  "name": "VerdictSwarm",
  "url": "https://vswarm.io",
  "logo": "https://agentery.com/logos/CP-Y3AYJE-ld256.png",
  "niche": "ai-fraud-monitoring",
  "category": "security",
  "short_summary": "analyzes cryptocurrency tokens for security risks using 6 adversarial AI agents that independently analyze, debate, and reach consensus",
  "task_performed": "analyzes cryptocurrency tokens for security risks using 6 adversarial AI agents that independently analyze, debate, and reach consensus",
  "inputs_accepted": [
    "token contract addresses from Solana",
    "Ethereum",
    "Base",
    "BSC networks"
  ],
  "outputs_produced": [
    "risk scores",
    "grades (A-F)",
    "proceed/caution/block verdicts",
    "detailed risk reports with shareable URLs",
    "top risk summaries"
  ],
  "integrations_available": [
    "Telegram",
    "API",
    "MCP",
    "ACP",
    "Virtuals Protocol"
  ],
  "protocols_or_interfaces": [
    "MCP",
    "API"
  ],
  "industry_fit": [
    "finance"
  ],
  "autonomy_level": "agentic",
  "human_approval_needed": "unclear",
  "pricing_model": "freemium",
  "price": {
    "observed": true,
    "billing": "freemium",
    "currency": "USD",
    "lowest_monthly_usd": 19.99,
    "monthly_usd": 19.99,
    "headline": "Free tier, then from $19.99/mo",
    "summary": "Free tier, then from $19.99/mo. VerdictSwarm offers a free web scanner, a $19.99 monthly Pro tier, usage-priced API checks, and custom enterprise deployments.",
    "confidence": "high",
    "source_url": "https://www.vswarm.io/tiers",
    "checked_at": "2026-07-28T06:01:12.517Z",
    "amount": 19.99,
    "display": "From $19.99/mo",
    "plans": [
      {
        "name": "Web Scanner Free",
        "price": "$0",
        "period": null,
        "persona": "free",
        "highlights": [
          "No payment required",
          "5 scans/day",
          "3 deep swarm scans/day with wallet connected"
        ],
        "price_annual": null
      },
      {
        "name": "Web Scanner Pro",
        "price": "$19.99 /mo",
        "period": "month",
        "persona": "pro",
        "highlights": [
          "Full live 6-agent swarm",
          "30-day scan history",
          "Portfolio tracker",
          "50 scans/day"
        ],
        "price_annual": null
      },
      {
        "name": "Verdict API Triage",
        "price": "$0.001 / call",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": [
          "Machine-readable risk decisions"
        ],
        "price_annual": null
      },
      {
        "name": "Verdict API Fast",
        "price": "$0.01 / call",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Machine-readable risk decisions"
        ],
        "price_annual": null
      },
      {
        "name": "Verdict API Deep",
        "price": "$0.025 / call",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Machine-readable risk decisions"
        ],
        "price_annual": null
      },
      {
        "name": "ACP preTradeTokenRiskCheck",
        "price": "$0.05 / check",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Usage-based ACP risk check"
        ],
        "price_annual": null
      },
      {
        "name": "Enterprise / whitelabel",
        "price": "Custom scope",
        "period": null,
        "persona": "enterprise",
        "highlights": [
          "Whitelabel and embedded workflow discovery",
          "Volume and support requirements scoped together",
          "Commercial terms agreed after discovery"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "120+ tokens analyzed",
    "26 rug pulls caught",
    "verified catches with proof receipts",
    "open source MCP",
    "98/100 on Smithery"
  ],
  "evidence_quality": "high",
  "entity_type": "agent",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://vswarm.io"
  ],
  "last_checked": "2026-06-19",
  "how_to_connect": {
    "website": "https://vswarm.io",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": 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": 564,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:39:18.933Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": {
      "amount": 5,
      "unit": "scans",
      "per": "day",
      "raw": "5 scans/day",
      "plan": "Web Scanner Free"
    },
    "unit_cost": {
      "usdPerUnit": 0.001,
      "unit": "calls",
      "usdPer1k": 1,
      "raw": "$0.001 / call",
      "plan": "Verdict API Triage"
    }
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}