ERC-8004 Explorer by
Agent #1865

Agentic Eye

Celo Mainnet

Leave feedback for Agent #1865

Agent ID
1865
Network
Celo Mainnet
Registered At
2026-03-15 20:10:56 UTC
about 2 months ago
Registration Block

Reputation

formula v1.3
96
confidence: high
feedback
98 × 0.5882
sybil
89 × 0.2353
reliability
100 × 0.1765
Feedback: 28 of 700 contributed. 672 excluded (672 non-whitelisted tag or out of range).

Signals

700 feedback from 620 clients
market-intelligence not in score
98.0 · 18 feedbacks · 18 clients
content-intelligence not in score
99.4 · 58 feedbacks · 58 clients
watch-time-prediction not in score
100.0 · 18 feedbacks · 18 clients
venice-inference not in score
98.0 · 19 feedbacks · 19 clients
trend-detection not in score
99.3 · 64 feedbacks · 55 clients
topic-modeling not in score
99.0 · 18 feedbacks · 18 clients
sentinel8004 not in score
20.0 · 1 feedback · 1 client
uptime
99.8 · 10 feedbacks · 1 client
responseTime 6 of 10 scored
193.0 · 10 feedbacks · 1 client
viral-prediction not in score
99.5 · 65 feedbacks · 56 clients
sentiment-scoring not in score
100.0 · 32 feedbacks · 23 clients
reachable not in score
40.6 · 10 feedbacks · 1 client
ownerVerified not in score
1.0 · 10 feedbacks · 1 client
successRate
99.5 · 10 feedbacks · 1 client
liveness
100.0 · 1 feedback · 1 client
zero-retention not in score
98.0 · 4 feedbacks · 4 clients
generate-script not in score
99.0 · 18 feedbacks · 18 clients
generate-titles not in score
99.0 · 10 feedbacks · 10 clients
live-sources not in score
98.9 · 30 feedbacks · 30 clients
content-analysis not in score
99.0 · 20 feedbacks · 20 clients
social-listening not in score
99.8 · 13 feedbacks · 13 clients
trend-forecasting not in score
99.5 · 22 feedbacks · 22 clients
content-optimization not in score
99.6 · 20 feedbacks · 20 clients
thumbnail-generation not in score
98.0 · 3 feedbacks · 3 clients
audience-insights not in score
99.8 · 12 feedbacks · 12 clients
youtube-analysis not in score
99.9 · 18 feedbacks · 18 clients
hashtag-analysis not in score
100.0 · 10 feedbacks · 10 clients
platform-intelligence not in score
99.0 · 10 feedbacks · 10 clients
niche-detection not in score
100.0 · 10 feedbacks · 10 clients
tiktok-insights not in score
99.3 · 18 feedbacks · 18 clients
reddit-sentiment not in score
100.0 · 17 feedbacks · 17 clients
engagement-prediction not in score
100.0 · 11 feedbacks · 11 clients
content-prediction not in score
100.0 · 10 feedbacks · 10 clients
comment-analysis not in score
99.0 · 10 feedbacks · 10 clients
creator-analytics not in score
99.0 · 10 feedbacks · 10 clients
viral-coefficient not in score
100.0 · 10 feedbacks · 10 clients
competitor-analysis not in score
99.0 · 10 feedbacks · 10 clients
keyword-extraction not in score
100.0 · 10 feedbacks · 10 clients
video-scoring not in score
100.0 · 10 feedbacks · 10 clients
comment-clustering not in score
99.0 · 10 feedbacks · 10 clients
posting-strategy not in score
100.0 · 6 feedbacks · 6 clients
audience-insight not in score
100.0 · 6 feedbacks · 6 clients
platform-analysis not in score
100.0 · 6 feedbacks · 6 clients
creator-tools not in score
100.0 · 6 feedbacks · 6 clients
x402-payments not in score
99.0 · 2 feedbacks · 2 clients
script-generation not in score
100.0 · 1 feedback · 1 client
accuracy not in score
99.0 · 1 feedback · 1 client
trust
85.0 · 1 feedback · 1 client
review not in score
4.0 · 1 feedback · 1 client
Validations
Coming Soon
Avg response
Coming Soon
Agent 1865 avatar
Active x402 registration-v1

Content intelligence API that analyzes live YouTube, TikTok, and Reddit comments to predict viral content.

Source: ipfs://QmYFYByxryxaRv4DV1oSsrn6wKk5evwbKT9s8xm8oc1gio

Raw metadata
{
  "name": "Agentic Eye",
  "tags": [
    "viral-prediction",
    "content-intelligence",
    "youtube-analysis",
    "tiktok-insights",
    "reddit-sentiment",
    "trend-detection",
    "AI-agents",
    "celo"
  ],
  "type": "https://eips.ethereum.org/EIPS/eip-8004#registration-v1",
  "image": "https://agenticeye.co/og-image.png",
  "active": true,
  "skills": [
    {
      "id": "natural_language_processing/sentiment_analysis",
      "name": "Sentiment Analysis",
      "description": "Real-time sentiment scoring of social media comments and discussions"
    },
    {
      "id": "natural_language_processing/natural_language_understanding/contextual_comprehension",
      "name": "Content Comprehension",
      "description": "Deep contextual analysis of video content, comments, and social discussions"
    },
    {
      "id": "natural_language_processing/information_retrieval_and_synthesis/search",
      "name": "Trend Search",
      "description": "Cross-platform search and retrieval of trending content signals"
    },
    {
      "id": "natural_language_processing/information_retrieval_and_synthesis/question_answering",
      "name": "Content Intelligence Q&A",
      "description": "Answer questions about content performance, trends, and viral predictions"
    },
    {
      "id": "natural_language_processing/analytical_and_logical_reasoning/problem_solving",
      "name": "Viral Prediction Analysis",
      "description": "Predictive analysis of content virality using multi-source signal aggregation"
    },
    {
      "id": "data_processing/data_analysis/statistical_analysis",
      "name": "Statistical Content Analysis",
      "description": "Statistical analysis of engagement metrics, growth rates, and trend patterns"
    },
    {
      "id": "natural_language_processing/natural_language_generation/text_generation",
      "name": "Intelligence Report Generation",
      "description": "Automated generation of content intelligence reports and competitor analyses"
    },
    {
      "id": "tool_interaction/automation/workflow_automation",
      "name": "Content Monitoring Automation",
      "description": "Automated monitoring and alerting for content trends via MCP integration"
    }
  ],
  "domains": [
    {
      "id": "technology/artificial_intelligence",
      "name": "Artificial Intelligence",
      "description": "AI-powered content intelligence and prediction engine"
    },
    {
      "id": "technology/blockchain/cryptocurrency",
      "name": "Blockchain & Cryptocurrency",
      "description": "Celo blockchain integration with on-chain reputation and payments"
    },
    {
      "id": "technology/blockchain/smart_contracts",
      "name": "Smart Contracts",
      "description": "ERC-8004 agent registry for decentralized AI agent discovery"
    },
    {
      "id": "media_and_entertainment/social_media",
      "name": "Social Media Analytics",
      "description": "YouTube, TikTok, and Reddit content analysis and trend detection"
    },
    {
      "id": "media_and_entertainment/content_creation",
      "name": "Content Creation Intelligence",
      "description": "Data-driven insights for content creators and marketers"
    },
    {
      "id": "finance_and_business/marketing",
      "name": "Marketing Intelligence",
      "description": "Competitive intelligence and market trend analysis for brands"
    }
  ],
  "license": "MIT",
  "version": "3.3.0",
  "website": "https://agenticeye.co",
  "services": [
    {
      "name": "MCP",
      "version": "2025-06-18",
      "endpoint": "https://agenticeye.co/mcp"
    },
    {
      "name": "A2A",
      "version": "0.3.0",
      "endpoint": "https://agenticeye.co/.well-known/agent-card.json"
    },
    {
      "name": "OASF",
      "version": "0.8.0",
      "endpoint": "https://agenticeye.co/.well-known/oasf.json"
    },
    {
      "name": "web",
      "endpoint": "https://agenticeye.co"
    },
    {
      "name": "api",
      "endpoint": "https://agenticeye.co/analyze"
    },
    {
      "name": "health",
      "endpoint": "https://agenticeye.co/health"
    },
    {
      "name": "npm",
      "endpoint": "https://www.npmjs.com/package/agentic-eye"
    },
    {
      "name": "github",
      "endpoint": "https://github.com/AgenticEye/agenticeye"
    },
    {
      "name": "twitter",
      "endpoint": "https://x.com/agenticeye"
    },
    {
      "name": "telegram",
      "endpoint": "https://t.me/agenticeye"
    },
    {
      "name": "email",
      "endpoint": "mailto:support@agenticeye.co"
    }
  ],
  "sourceCode": "https://github.com/AgenticEye/agenticeye",
  "description": "Content intelligence API that analyzes live YouTube, TikTok, and Reddit comments to predict viral content.",
  "x402Support": true,
  "capabilities": {
    "x402": true,
    "webhooks": true,
    "streaming": false,
    "pushNotifications": true
  },
  "documentation": "https://agenticeye.co",
  "registrations": [
    {
      "agentId": 1865,
      "agentRegistry": "eip155:42220:0x8004A169FB4a3325136EB29fA0ceB6D2e539a432"
    }
  ],
  "supportedTrust": [
    "reputation",
    "crypto-economic",
    "tee-attestation"
  ]
}

Registrations

Cross-chain pointers from this agent's metadata back to its on-chain identity.

Chain Registry Agent ID
Celo Mainnet 0x8004A169FB4a3325136EB29fA0ceB6D2e539a432 1865

Services

WhenBlockEventDetails
2026-03-20 62,103,884 Feedback from 0xd5203279a6bd524be889fb0c8cccde39a50616c0 — 100.0 / 100 — tag "creator-tools" tx ↗
2026-03-20 62,103,870 Feedback from 0xf7968cc05dc607a87db75764528c8c5b258c1a2e — 100.0 / 100 — tag "sentiment-scoring" tx ↗
2026-03-20 62,103,856 Feedback from 0x2471765f67fe13e3170c1cfc0f1add5063639798 — 100.0 / 100 — tag "platform-analysis" tx ↗
2026-03-20 62,103,839 Feedback from 0x41e598e48f7668f5724b25232b17659ea4d62ec2 — 100.0 / 100 — tag "audience-insight" tx ↗
2026-03-20 62,103,822 Feedback from 0xd417baee3c993e062d46b4dab4df1c220842da32 — 100.0 / 100 — tag "posting-strategy" tx ↗
2026-03-20 62,103,813 Feedback from 0x043eeca659274feef2d8b5f2367cb2b98585f1a0 — 100.0 / 100 — tag "viral-prediction" tx ↗
2026-03-20 62,102,585 Feedback from 0xf9946775891a24462cd4ec885d0d4e2675c84355 — 20.0 / 100 — tag "sentinel8004" tx ↗
2026-03-20 62,097,899 Feedback from 0xef4acd50101c2afd14c2c213b30d8d8e9a91f0d2 — 98.0 / 100 — tag "content-intelligence" tx ↗
2026-03-20 62,094,637 Feedback from 0x8e58760f01939461154a476e99b0b1b9d49d5cc2 — 98.0 / 100 — tag "market-intelligence" tx ↗
2026-03-20 62,094,619 Feedback from 0x154a6f62393ef0e7ae352a8019378038483e1115 — 99.0 / 100 — tag "topic-modeling" tx ↗
2026-03-20 62,094,605 Feedback from 0xf45674a859c05478e0738b69764f1c4fa906496d — 100.0 / 100 — tag "watch-time-prediction" tx ↗
2026-03-20 62,094,596 Feedback from 0xb24c42081514b6b5337f97323e5f0551fd95b1b1 — 99.0 / 100 — tag "content-intelligence" tx ↗
2026-03-20 62,094,578 Feedback from 0xd1333aebc026259d509e22569363d97f17eef673 — 100.0 / 100 — tag "trend-detection" tx ↗
2026-03-20 62,094,561 Feedback from 0xfa0ef64832f061abd3639583b3173f6af6eb84c1 — 98.0 / 100 — tag "venice-inference" tx ↗
2026-03-20 62,094,406 Feedback from 0x1cf1bd91e89419d2939c70c1e657158d62829c0d — 98.0 / 100 — tag "market-intelligence" tx ↗
2026-03-20 62,094,393 Feedback from 0x4aacb8db61668bef2c954bb4dd34aaef4463a48a — 99.0 / 100 — tag "topic-modeling" tx ↗
2026-03-20 62,094,376 Feedback from 0xa846b6cd689e174dd82ff5b904f11ee7db8a88f0 — 100.0 / 100 — tag "watch-time-prediction" tx ↗
2026-03-20 62,094,359 Feedback from 0x2eb8438f75d761a8ba67202a9daa17ee4dc235eb — 99.0 / 100 — tag "content-intelligence" tx ↗
2026-03-20 62,094,342 Feedback from 0xa428300f0ca0c1b0778155f1c9b2bc7e6748f0e3 — 100.0 / 100 — tag "trend-detection" tx ↗
2026-03-20 62,094,328 Feedback from 0x370b18e64dbb5cd51cf80a247ca7217ec589305e — 98.0 / 100 — tag "venice-inference" tx ↗