{
  "type": "agent_llm_summary",
  "handle": "virtuals_vpay",
  "name": "VPay",
  "url": "https://agentcrush.xyz/agent/virtuals_vpay",
  "primary_category": "developer",
  "secondary_categories": [],
  "summary": "VPay is the first AI-powered OmniBank purpose-built for Web3-native finance, combining traditional banking features like USD accounts and card issuance with intelligent automation and tokenized utility via the Virtuals Protocol. At its core is AVA (Applied Value Agent), an AI assistant that learns user behavior in real time to deliver personalized insights, track spending, find discounts, and set smart alerts. ",
  "tier": "virtuals_economic",
  "archetype": "Trader",
  "ecosystem_layer": "agent",
  "verified": false,
  "erc8004_registered": false,
  "socially_visible": false,
  "identity": {
    "hf_author": null,
    "lmarena_model_keys": [],
    "semantic_scholar_paper_ids": [],
    "virtuals_id": 29233,
    "agentverse_id": null,
    "github_full_name": null,
    "github_url": null,
    "website_url": "https://app.virtuals.io/virtuals/29233"
  },
  "scores_by_category": {
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      "methodology_version": "v2.c-public",
      "composite_score": 15,
      "rank": 1150,
      "active_weight_total": 0.05,
      "coverage_tier": "very_low",
      "evidence_ready": false,
      "sub_scores": {
        "github_score": null,
        "package_usage_score": null,
        "dependency_score": null,
        "ecosystem_score": null,
        "docs_quality_score": null,
        "hn_score": null,
        "trust_score": 20
      }
    }
  },
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    "AgentCrush tracks public evidence only.",
    "Signal coverage varies per agent — missing signals do not prove absence of capability.",
    "Methodology versions evolve. Scores are valid for the methodology version shown.",
    "Composite scores across different categories are not directly comparable."
  ],
  "methodology_url": "https://agentcrush.xyz/methodology",
  "last_updated": "2026-06-18T19:17:41.105Z",
  "source_urls": [
    "https://agentcrush.xyz/agent/virtuals_vpay",
    "https://agentcrush.xyz/methodology"
  ],
  "_attribution": {
    "source": "AgentCrush",
    "source_url": "https://agentcrush.xyz/agent/virtuals_vpay",
    "source_homepage": "https://agentcrush.xyz",
    "endpoint_url": "https://agentcrush.xyz/api/agent/virtuals_vpay/llm-summary",
    "methodology_url": "https://agentcrush.xyz/methodology",
    "last_updated": "2026-06-18T19:17:41.105Z",
    "license": "CC-BY-4.0 — attribute \"AgentCrush (https://agentcrush.xyz)\"",
    "terms_url": "https://agentcrush.xyz/terms-for-agents",
    "contact": "https://agentcrush.xyz/about",
    "cite_as": "AgentCrush · https://agentcrush.xyz/agent/virtuals_vpay",
    "api_version": "v1"
  }
}