Agents Preview

Human pages stay free. Agent-ready intelligence becomes the product.

This preview is the first step toward Airdropedia as an AI-facing research layer. Each dossier exposes a cleaner structure for automations, MCP tools, and future paid APIs.

Tier S

Based

active-preview

Hyperliquid ecosystem exposure, strong funding, and repeated campaign mechanics make Based a high-conviction candidate for agent-readable airdrop tracking.

Credibility90
Momentum84
Airdrop88
Execution79

Signals

  • Pantera-led Series A and Coinbase Ventures support strengthen legitimacy.
  • Diamonds and referral mechanics create measurable repeat behavior for farming strategies.
  • Super app positioning expands beyond a single perp venue and supports more activity surfaces.
Tier A

Hibachi

active-preview

Hibachi stands out when privacy narrative, ZK architecture, and points campaigns align around a credible launch path.

Credibility81
Momentum73
Airdrop86
Execution68

Signals

  • Privacy-first exchange positioning is differentiated and easy for agents to classify.
  • Points incentives and recurring community campaigns provide clear monitoring hooks.
  • Speculation around Circle ecosystem adjacency keeps attention elevated.
Tier S

Extended

active-preview

Extended is compelling because ex-Revolut team quality, Starknet ecosystem context, and explicit reward expectations combine into a strong research case.

Credibility85
Momentum78
Airdrop87
Execution76

Signals

  • ex-Revolut operator story is a strong credibility anchor for a perp DEX.
  • Starknet ecosystem positioning provides a distinct distribution channel.
  • Points and referral structure create repeatable data points for expected value modeling.

Why this is product-shaped

Public JSON snapshots are the free preview. The higher-value layer is the diff feed: what changed, when it changed, and which scores an agent should re-check before acting.

Operating rule

This is not an AI article experiment anymore.

Current stage

We are in the "public preview" phase.

Right now the goal is clarity, not maximum complexity. The free layer proves what the product is, and the next layer turns faster updates and better diffs into something people can buy.