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AfterImage

Serves cached, hash-stamped readable text of web pages that language models often get wrong, via HTTP and MCP.
AfterImage: data, price, alternatives
At a glancechecked Oct 26, 2026

not read yet

Use

For
AI agents and developers who need current docs, model prices, and API specs fetched fresh
How it runs
API
Used for
  • fetch current API documentation pages for an agent
  • check current model prices and rate limits
  • reuse stored page copies to avoid repeat live fetches
Worth knowingcomputed from what we read · each with its source
How a program reaches itfound, not claimed · read Oct 26, 2026
  • MCP serverpage.afterimage/afterimageverified in the MCP registry
  • Stateanswers, 2 toolschecked 2026-10-26
  • Address to connectafterimage.page/mcp
  • OpenAPI spec7 pathsthe spec ↗
  • MCP docsafterimage.page/mcp/server-cardthe vendor's page ↗

MCP server details →

This card as JSON, for your agent →

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 LLM operationsby use, among tools still maintained

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

Compare AfterImage with

Pick up to two.

All 10 alternatives to AfterImage →

All LLM operations tools →

Not it? Say what you need

beta

Three tools from the Atlas for the job you describe, each with what fits and what does not.

From people who use itnot part of the reading

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Questions this page answers
  • What is AfterImage?

    Serves cached, hash-stamped readable text of web pages that language models often get wrong, via HTTP and MCP. It is listed in the Atlas under LLM operations.

  • Who is AfterImage for?

    AI agents and developers who need current docs, model prices, and API specs fetched fresh

  • Do people use AfterImage?

    Little sign of use.

  • What are alternatives to AfterImage?

    In LLM operations, by use: Titen, Hyperion, Kourier, OmniDev, Feegate.

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.

How we read every tool → · By INITE Atlas Desk