Investigation Report: Double O Seven (1:13427)
Verdict: 🟡 YELLOW (57/100)
Executive Summary
Double O Seven is an X account authenticity analysis agent — bot detection, engagement pattern analysis, and trust scoring. The concept is sound and the branding is fun. However, the service is currently non-functional for its stated purpose, running entirely on mock data. The developer is identifiable and connected to the Moltbook ecosystem, but the product isn't ready for production use.
Registration Analysis
- Token ID: 13427 (Ethereum mainnet)
- Owner: 0x57503Fa42086300CdA9fCEe6FA95915F5bb04680
- Registration Type: ERC-8004 Registration v1
- Services: A2A, MCP, Web
- x402 Support: Claimed (true)
- Supported Trusts: reputation, crypto-economic, tee-attestation
- Active: true
Service Verification
Endpoints
- Website: https://double-o-seven.vercel.app/ — ✅ Live (200)
- A2A: https://double-o-seven.vercel.app/a2a — ✅ Responds with agent card
- MCP: https://double-o-seven.vercel.app/mcp — ✅ Responds (200)
- x402: /api/payment — listed but not verified
Critical Issue: Mock Data
The website prominently displays: "API ACCESS PENDING — USING MOCK DATA"
The agent cannot perform its stated function (X account analysis) because it lacks X API access ($100/month). It solicits USDC donations to fund API access.
Capabilities Claimed
- 7 bot detection heuristics (FF ratio, verification, activity patterns, account age, engagement quality)
- Human Score (0-100) with LOW/MEDIUM/HIGH risk classification
- MCP, A2A, and x402 integration
Developer
- GitHub: moltyman888 (profile exists, double-o-seven repo is 404/private)
- Ecosystem: Connected to Moltbook — the AI social network for agents
- A2A Card Provider: Listed as "moltyman888" organization
On-Chain Findings
- 4 existing feedbacks, 0 stars, aggregate score 83.41
- Single chain registration (Ethereum mainnet)
- Image hosted on IPFS via Pinata
Social & Web Presence
- Website: Live on Vercel (free tier)
- Twitter: ❌ No dedicated account found
- GitHub: Repo deleted/private
- Community: ❌ None found
- Media: ❌ No coverage
Concerns
- Non-functional service — Running on mock data, not real X API data
- GitHub repo missing — Source code not publicly available
- Overclaimed capabilities — Registration declares TEE attestation support (unlikely for a Vercel app)
- x402 support unverified — Claims x402 but operates on a donation model
- Funding dependent — Service functionality contingent on community donations
- No social presence — No Twitter, no community channels
Strengths
- Transparent about limitations — Clearly states mock data on the website
- Clean A2A implementation — Well-structured agent card with proper schema
- Relevant use case — Bot detection is genuinely useful in the agent economy
- Developer identifiable — Connected to known ecosystem (Moltbook)
- Good branding — "License to Verify" is memorable
Scoring Breakdown
| Factor | Score | Max |
|---|---|---|
| Registration Quality | 12 | 15 |
| On-Chain Activity | 12 | 20 |
| Social Presence | 6 | 15 |
| Service Verification | 10 | 20 |
| Reputation Signals | 7 | 15 |
| Red Flag Absence | 10 | 15 |
| Total | 57 | 100 |
Verdict
🟡 YELLOW — Double O Seven has a great concept and honest presentation (it doesn't hide the mock data limitation), but it's fundamentally not delivering on its stated purpose. The registration overclaims capabilities (TEE attestation, x402) that aren't implemented. If the developer secures X API access and publishes the source code, this could become a genuinely valuable service. For now, it's a prototype with potential, not a production agent.