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

ICARE MCP

↗ github.com/Djangode/icare-mcp official repository

An MCP server that lets Claude, GPT, Gemini, and other AI agents predict live esports matches, place USDC Win/Lose positions, and track or sell them. Results a…

MCP serverPricing checked daily
Agentery price verdictInsufficient peerscannot benchmark yet
Observed entry price$0.2/molowest observed monthly
Connection modelMCP serverMCP clients
Pricing observed16 Oct 2026latest priced read of the page
Website liveness16 Oct 2026alive · separate from pricing

What it does

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

ICARE MCP

An MCP server that lets Claude, GPT, Gemini, and other AI agents predict live esports matches, place USDC Win/Lose positions, and track or sell them. Results a…

Agentery has not yet captured structured capability detail for this provider.

Official ICARE MCP links

Pricing & plans

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

Pricing · observed daily
per · market position

$0.20 /

Observed plan · market position not comparable on a monthly basis.
this agent · $0.20
$8median —$89
pricing observed 2026-10-16 · page rechecked daily · source evidence retained
What should this agent charge?

This plan sits close to the comparable median.

pricing recommendation
$0.20
$8–$89
—

No monthly-comparable cohort to benchmark this plan against yet.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

Not monthly-comparable.

get_provider_profile · plan history

per observed 2026-10-16.

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.

$0.2 / month
$1 lowestmedian —$89 highest
Not comparable This plan's basis isn't monthly-comparable.
—
—
$8–$89

Is ICARE MCP good value?

How its price compares with genuinely comparable providers.

Not enough peers

Not enough evidence yet to call it good — or poor — value.

Too few comparable providers at the same buyer tier and billing unit to benchmark this price honestly.

Observed commercial price$0.2/mo
Hosting model—
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare language support, semantic depth, installation model against the few observed peers — Agentery keeps the price status explicit and never invents a verdict.

ICARE MCP's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above.

See the full market →
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
  "agent_id": "icare_mcp",
  "name": "ICARE MCP",
  "url": "https://github.com/Djangode/icare-mcp",
  "logo": "https://github.com/Djangode.png?size=200",
  "niche": null,
  "category": null,
  "short_summary": "An MCP server that lets Claude, GPT, Gemini, and other AI agents predict live esports matches, place USDC Win/Lose positions, and track or sell them. Results a…",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": true,
    "billing": "usage",
    "source_kind": "vendor",
    "currency": "USD",
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "$1 per unit; $0.2 per unit (usage-based)",
    "commercial": {
      "rates": [
        {
          "line": "icare_bet stake",
          "per": "per unit",
          "text": "$1 per unit"
        },
        {
          "line": "x402 network fee",
          "per": "per unit",
          "text": "$0.2 per unit"
        }
      ],
      "currency": "USD",
      "lines": [
        {
          "name": "icare_bet stake",
          "price": "1 USDC",
          "kind": "usage_rate",
          "unit": "unit",
          "billed": "usage"
        },
        {
          "name": "x402 network fee",
          "price": "0.20 USDC",
          "kind": "usage_rate",
          "unit": "unit",
          "billed": "usage"
        }
      ]
    },
    "summary": "$1 per unit; $0.2 per unit (usage-based). ICARE exposes usage-based betting costs of 1–50 USDC per prediction, plus a 0.20 USDC x402 network fee when applicable.",
    "confidence": "medium",
    "source_url": "https://github.com/Djangode/icare-mcp",
    "checked_at": "2026-10-16T01:58:53.319Z",
    "amount": null,
    "display": null,
    "plans": [
      {
        "name": "icare_bet stake",
        "price": "1 USDC",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Stake range shown as 1 to 50 USDC per prediction"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": null
      },
      {
        "name": "x402 network fee",
        "price": "0.20 USDC",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Network fee applies when the agent pays over x402"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://github.com/Djangode/icare-mcp"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://github.com/Djangode/icare-mcp",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [],
    "install": "npx -y github:Djangode/icare-mcp",
    "repository": "https://github.com/Djangode/icare-mcp"
  },
  "deployment": {
    "model": "self_hosted",
    "both_offered": false,
    "hosted_endpoint": null,
    "install": "npx -y github:Djangode/icare-mcp",
    "note": "You run it yourself: install from the published command/package; no vendor endpoint found.",
    "evidence": {
      "sources": [
        "glama:hosting:local-only",
        "glama:spdxLicense",
        "page_text:install"
      ],
      "excerpt": "+ and git. One line, no account: Client Command Claude Code claude mcp add icare -- npx -y github:Djangode/icare-mcp OpenAI Codex CLI codex mcp add icare -- npx -y githu",
      "url": "https://github.com/Djangode/icare-mcp",
      "observed_day": "2026-10-16",
      "age_days": 0,
      "hosted_evidence": null,
      "rule": "deploy-v1"
    }
  },
  "licence": {
    "name": "MIT License",
    "note": "Named licence as published; applies to the code, not to where it runs.",
    "evidence": "glama:spdxLicense",
    "observed_day": "2026-10-16",
    "age_days": 0
  },
  "evidence_checks": {
    "price": {
      "source_url": "https://github.com/Djangode/icare-mcp",
      "last_observed_day": "2026-10-16",
      "age_days": 0,
      "verified_day": "2026-10-16",
      "note": "verified = the page-text gate ran for that scan day (day-before/day-of text check)"
    },
    "agent_card": {
      "status": "unknown",
      "note": "no Agent Card URL recorded for this listing"
    },
    "endpoint": {
      "status": "unknown",
      "note": "endpoint not yet checked"
    }
  },
  "product_group": null,
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 163,
    "uptime_7d": null,
    "checked_at": "2026-10-16T02:37:22.775Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}