Feature idea: On-chain agent identity for prediction credibility

[0xbrainkid]

Great project — AI-native prediction markets across Solana, Polymarket, and Kalshi.

One feature that could differentiate Oracle3: verifiable on-chain identity and reputation.

When your agent makes predictions, users currently have no standardized way to verify its track record, operating history, or authenticity. An on-chain trust profile could show:

• Verified identity (this is THE Oracle3 agent, not a fork)
• Historical accuracy as a compounding reputation score
• Cross-platform credentials

We built SATP (Solana Agent Trust Protocol) for exactly this use case — on-chain identity and reputation for AI agents on Solana. It's lightweight and designed for agent-to-agent and agent-to-human trust.

For prediction markets specifically, imagine users seeing a verified trust score before following positions. That's a moat.

Quick look: https://agentfolio.bot

Happy to discuss integration if there's interest.

[YichengYang-Ethan]

Hey @0xbrainkid, thanks for bringing this up — I think on-chain identity + reputation tracking could be a real differentiator for Oracle3, especially as we scale to multi-agent strategies across Polymarket/Kalshi/Solana.

A few things I'd love to explore:

1. Historical accuracy tracking — Oracle3 already logs all trades with entry/exit prices and PnL. Could SATP ingest this data to build a verifiable track record on-chain?
2. Cross-platform identity — We operate across Kalshi, Polymarket, and Solana DEXs. How does SATP handle multi-venue identity linking?
3. Integration scope — What would a minimal integration look like? Ideally a lightweight SDK call rather than deep architectural changes.

Happy to set up a call or async discussion to scope this out. Feel free to reach out at yy85@illinois.edu or we can continue the conversation here.

[0xbrainkid]

@YichengYang-Ethan — glad this resonates. On your exploration points:

Historical accuracy tracking: The compounding reputation model is exactly right. Each prediction outcome (correct/incorrect/partial) becomes an attestation that feeds the trust score. Over time, the score reflects not just "this agent exists" but "this agent has a verified track record of X% accuracy across Y predictions on Z markets."

The SATP attestation structure supports this natively:

{
  "agent_id": "oracle3-solana-main",
  "attestation_type": "prediction_outcome",
  "market": "polymarket",
  "prediction_hash": "...",
  "outcome": "correct",
  "timestamp": "...",
  "attestation_chain_length": 47
}

Each attestation is on-chain (Solana), so the history is tamper-proof and publicly verifiable.

Integration path:

• Oracle3 registers on AgentFolio → gets verified identity + initial trust score
• Each prediction cycle: Oracle3 submits outcome attestation via SATP
• Trust score compounds: accuracy × consistency × longevity
• Public API: anyone querying Oracle3's predictions can also query its trust profile

Multi-agent strategies: When Oracle3 coordinates with sub-agents (different market specialists), each sub-agent can have its own trust score. The composite prediction carries provenance: "predicted by Oracle3-main (trust: 82) using signals from Oracle3-polymarket (trust: 91) and Oracle3-kalshi (trust: 74)."

Happy to help with a concrete integration if you're interested. The agentfolio-mcp-server is the quickest way to test — it exposes trust scoring via MCP tools.

[alex-pathcourse]

This is exactly the problem PCH's identity layer was built to solve. Via ERC-8004 and the Path Score system, Oracle3 agents can be issued a verifiable on-chain identity that anchors to a specific deployment — so users can cryptographically confirm they're interacting with THE Oracle3 agent, not a fork or impersonator. Path Score accumulates a compounding trust metric over time based on the agent's operating history, prediction accuracy attestations, and cross-platform activity, giving users a standardized credibility signal without requiring them to trust any single platform's self-reported stats. Cert tiers also allow Oracle3 to gate certain capabilities or partner integrations behind verified identity thresholds, creating a natural moat for the authentic agent. Happy to share the ERC-8004 spec and cert_registry onboarding docs if this direction resonates.

Working code example: https://github.com/pathcourse-health/pch-integration-examples#2-identity--reputation--path-score--erc-8004

[YichengYang-Ethan]

Thanks for the offer — appreciate it.

At this stage, we’re mainly focused on strengthening the core product: prediction quality, cross-market execution, auditability, and privacy-preserving reputation tracking. External support could be useful later, but I’d prefer to keep this issue focused on the technical direction around agent identity and credibility.

On the support system side, the near-term priority is to build a clear technical foundation first: reliable prediction logs, transparent evaluation metrics, privacy-safe attestations, and a minimal integration path for any identity/reputation layer.

On PII detection: I would measure it with a labeled validation set of logs/messages and track precision, recall, false positive rate, and false negative rate separately.

For Oracle3, I’d bias the system toward minimizing false negatives, because leaking private data is more costly than over-redacting some harmless text. The safer design is also to avoid putting raw user data or raw logs into attestations at all — publish hashes, aggregate metrics, or redacted fields instead.

Happy to continue the technical discussion here. If there is a concrete proposal around infrastructure, partnerships, or funding, feel free to share a short overview publicly or reach out after we have a clearer integration scope.

[YichengYang-Ethan]

Thanks

I’m not trying to rush into fundraising before the product and technical direction is clearer. Right now the focus is still on strengthening Oracle3’s core: prediction integrity, cross-market execution, privacy-safe reputation tracking, and a credible agent identity layer.

That said, strategic support could definitely be useful if it’s aligned with the roadmap. The most relevant areas would probably be infrastructure, distribution, partnerships, serious user/builder introductions, and eventually capital if there is a clear reason for it.

For now, I’d like to keep the technical discussion public here, but if you have a concrete sense of what your network could provide, feel free to send over a short overview. Happy to see whether there’s a fit.

[YichengYang-Ethan]

Sounds good — happy to take a look at the overview. Easier to keep specifics off the public thread, so feel free to send it to my email