{
  "type": "agent_llm_summary",
  "handle": "virtuals_predi",
  "name": "Predi",
  "url": "https://agentcrush.xyz/agent/virtuals_predi",
  "primary_category": "tokenized",
  "secondary_categories": [],
  "summary": "PrediBot is an AI agent that enables users to create and place onchain predictions by simply tweeting on X. Built on the PredictBase protocol by the PredictBase team, including an engineer from Amazon, PrediBot brings decentralized prediction markets to everyday users through seamless, natural interactions.\nThink of it as Polymarket, but with decentralized AI capabilities. Predibot is the first prediction market AI agent to interact with the AIXBT agent making it a key part of the ACP economy.",
  "tier": "indexed",
  "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": 34214,
    "agentverse_id": null,
    "github_full_name": null,
    "github_url": null,
    "website_url": "https://app.virtuals.io/virtuals/34214"
  },
  "scores_by_category": {
    "tokenized": {
      "methodology_version": "v1.1-tokenized-tvl",
      "composite_score": 52,
      "rank": 13,
      "signals_available": 6,
      "evidence_ready": true,
      "sub_scores": {
        "market_cap_score": 61,
        "liquidity_volume_score": 62,
        "holders_basket_score": 61,
        "price_momentum_score": 56,
        "tvl_score": 64,
        "social_score": 0
      }
    }
  },
  "limitations": [
    "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": "2026-06-08T01:13:08.740Z",
  "source_urls": [
    "https://agentcrush.xyz/agent/virtuals_predi",
    "https://agentcrush.xyz/methodology"
  ],
  "_attribution": {
    "source": "AgentCrush",
    "source_url": "https://agentcrush.xyz/agent/virtuals_predi",
    "source_homepage": "https://agentcrush.xyz",
    "endpoint_url": "https://agentcrush.xyz/api/agent/virtuals_predi/llm-summary",
    "methodology_url": "https://agentcrush.xyz/methodology",
    "last_updated": "2026-06-08T01:13:08.740Z",
    "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_predi",
    "api_version": "v1"
  }
}