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Agent Readiness Index

Planar Systems

Partially Agent-Ready · Grade D · Scanned May 12, 2026

Planar Systems, Inc. is an American digital display manufacturing corporation with a facility in Hillsboro, Oregon. Founded in 1983 as a spin-off from Tektronix

Digital Signage
Video Walls
519 employees
Hillsboro, United States
43
/ 100
Grade D
Six-dimension breakdown

Discoverability

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

0

Content

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

0

Access Control

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

0

Capabilities

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

0

Commerce

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

0

Quality

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

0
Priority fixes

Discoverability (0/100)

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

Content (0/100)

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

Access Control (0/100)

Improve access control 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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