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Agent Readiness Index

Arize AI

Partially Agent-Ready · Grade D · Scanned May 14, 2026

Arize AI provides an AI observability and LLM evaluation platform for AI engineers to monitor, debug, and improve AI models in production.

AI Observability
LLM Evaluation
192 employees
Berkeley, United States
50
/ 100
Grade D
Six-dimension breakdown

Discoverability

Can an AI agent find sitemaps, llms.txt, and machine-readable entry points?

100

Content

Can agents consume content cheaply via markdown, schema.org, and structured data?

43

Access Control

Are crawl rules and AI bot permissions declared in robots.txt?

40

Capabilities

Does the site expose APIs, MCP endpoints, or agent-usable tools?

26

Commerce

Can agents discover pricing and initiate payments (x402, MPP, UCP)?

40

Quality

Performance, token efficiency, and trust signals beyond baseline checks.

90
Priority fixes

Capabilities (26/100)

Improve capabilities signals: llms.txt, robots.txt AI rules, structured data, MCP or OpenAPI endpoints, and agent-readable pricing where relevant.

Access Control (40/100)

Improve access control signals: llms.txt, robots.txt AI rules, structured data, MCP or OpenAPI endpoints, and agent-readable pricing where relevant.

Commerce (40/100)

Improve commerce signals: llms.txt, robots.txt AI rules, structured data, MCP or OpenAPI endpoints, and agent-readable pricing where relevant.

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How we score

StartupHub audits the full website across 50+ checks: discoverability, content negotiation, access control, capabilities (API/MCP), commerce (x402/MPP), and quality.

Unlike pricing-only indexes, we measure whether AI agents can find, read, and act on the entire site, not just the pricing page.

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