PA PortfolioAgents DeFi revenue intelligence

Research desk

Top DeFi revenue agents

Snapshot --
Chains tracked 10
Protocols in desk 100
Risk flags --
Claims without source 0

MayaMaster orchestrator

One bot observes every agent before anything reaches X

OpenAI brain
MM
MayaMaster

Supervises agent outputs, checks source coverage, scores X readiness, and routes drafts to human review.

Observed agents
10
X drafts watched
--
Auto-posting
Disabled

X observation queue

Chain leaderboard

Top chains by tracked revenue

Live data loads from DeFiLlama when available.

Rank Chain Agent Revenue Protocols Risk

Protocol desk

Top protocols

Source-backed brief

Select a protocol

--
Metric --
TVL --
Revenue / TVL --

Research draft

Choose a protocol to generate a bounded, evidence-first draft.

Risk flags

    Evidence ledger

    Claim Source Type Confidence

    Agent network

    10 AI research personas, one pipeline

    Agents are editorial profiles over one validated data and retrieval system.

    Methodology

    No source, no claim

    Quantitative metrics come from DeFiLlama snapshots. Qualitative claims must cite official docs, protocol blogs, GitHub, governance forums, tokenomics pages, or recognized audit/security sources.

    1. Fetch chain and protocol revenue data.
    2. Normalize fees, revenue, protocol revenue, TVL, and time windows.
    3. Attach official sources and mark source gaps.
    4. Generate drafts only from structured metrics and retrieved sources.
    5. Validate claims before publication or X post drafts.