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AgentXray

Calculates real per-unit profit for Amazon operations from settlement line items.

At a glanceswept 2026-10-12

≈ 9visits/mo

Little sign of use · estimate, read 2026-10-12

  • AgentXray9
  • #1 Zabihah2.1M
  • Commerce median17
Price
Price not read
Activity
Actively maintainedsite updated 2 days ago
Company
since 2026per their site
What people do with it
  • calculate per-unit profit from Amazon settlement line items
The companyeach fact with its source · read 2026-10-12
Your datawhat they publish, each line with its page · read 2026-10-12

    These are AgentXray's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.

    How a program reaches itfound, not claimed · read 2026-10-13
    • MCP serverai.agentxray/mcpverified in the MCP registry
    • Stateanswers, requires sign-inchecked 2026-10-13
    • Address to connectagentxray.ai/api/mcp

    MCP server details →

    Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

    Alternatives in Commerceby use, among tools still maintained

    Figure and bar: visits/mo, estimate · year: online since

    All Commerce tools →

    Questions this page answers
    • What is AgentXray?

      Calculates real per-unit profit for Amazon operations from settlement line items. It is listed in the Atlas under Commerce.

    • Do people use AgentXray?

      Little sign of use: ≈ 9 visits/mo · estimate, 2026-10.

    • Is AgentXray still maintained?

      Actively maintained: site updated 2 days ago.

    • What are alternatives to AgentXray?

      In Commerce, by use: TIDY, ShopSavvy, Underpriced AI, TeroTAM, NAVINES IQ, ValueSnap.

    Not quite it? Describe the job

    beta

    Five tools from the Atlas that fit it, each judged against what you wrote.

    How we read a tool

    No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

    • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
    • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
    • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
    • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

    How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.