---
url: https://ora.ai/docs/discovery
title: "How discovery works - Docs"
description: "Four discovery surfaces: intent discover, the leaderboard, the directory, and the Agent-Ready Directory - which one to use and when."
crawled_at: 2026-10-18T19:27:05Z
ask: https://ora-ai.ora.run/ask
docs: https://ora-ai.ora.run/.well-known/ora/docs
lang: en
---
# How discovery works

Ora exposes four discovery surfaces. They answer different questions, so pick by the question, not the protocol.

#### “I need a product that can do X”

Describe the task in plain language and get products ranked by agent experience score . Use the discover_products MCP tool, or REST:

curl "https://ora.ai/api/discover?intent=send+transactional+email&limit=5"

#### “Who ranks highest overall, or in my category?”

The leaderboard is the global ranking by score, filterable by category. Agents read it through the get_leaderboard MCP tool. Aggregate stats across every scanned domain live on the research page .

#### “Let me browse what exists”

The directory is the human-browsable index of the agentic web: MCP servers, documented APIs, published skills, and payable capabilities, all searchable in one place.

#### “My agent needs a machine-readable registry”

The Agent-Ready Directory is the protocol surface: search and explore agentic resources over structured endpoints, verify a product’s scorecard with a signed attestation, and pull the full catalog as JSON.

# Footer

The standard for agent experience.

© 2026 [era labs](https://eralabs.ai/)

Product

- Scan a site

- [Journey](https://journey.ora.ai/)

- [WebMCP audit](https://webmcp.ora.ai/)

- [Directory](https://directory.ora.ai/)

Resources

- Methodology

- Research

- Blog

- API Docs

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