Xerxes Context Compactor

x402

Xerxes Context Compactor is a paid API for AI agents from ari001.tailb4ac3a.ts.net, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-15).

Fetches a public HTTPS webpage and compresses its content to fit within a specified token budget, using LLM-based compaction with extractive fallback.

Price / call$0.03

Seller volume →—

Success—

StatusUnknown

How this service works

Use when an agent must fit a public HTTPS page into a token budget. Fetches the URL and compacts it. LLM first; extractive fallback if the bus is down. A failed fetch is not an empty document.

Output

Returns the compacted text content of the fetched webpage, reduced to fit within the requested token budget. If an LLM-based compaction is available it is used; otherwise an extractive fallback is applied. A failed fetch is returned as an error state, not as an empty document.

Example use cases

Research article within context window

“Pull down this research paper at https://arxiv.org/abs/2401.12345 and compact it to 2000 tokens so I can feed it into my analysis — focus on the methodology section.”

Competitor landing page digest

“Fetch https://competitor.com/pricing and compress it to 800 tokens so I can drop it into my prompt — I care most about the plan tiers and limits.”

Documentation snippet for agent reasoning

“Grab the docs page at https://docs.example.com/api/reference and squish it down to 1200 tokens, focusing on authentication, so my agent can reason about how to call the API.”

Technical details

Endpoint

POSThttps://ari001.tailb4ac3a.ts.net/v1/context/compact

When to prefer

Use this endpoint when you need to include the content of a public webpage in an LLM prompt but are constrained by token limits. It is the right choice when you need both reliable fetching and intelligent compression in a single call, rather than chaining a separate scraper with a summarizer. Prefer it over raw fetch tools when token budget is a hard constraint, and over generic summarizers when you need the actual condensed page content (not just a summary) with a fallback guarantee.

Side effects

URL is not publicly accessible or returns a non-200 status — returns a fetch error, not empty content
URL is not HTTPS or is malformed — request rejected
LLM compaction service unavailable — falls back to extractive method; if both fail, error returned
max_tokens value too small to meaningfully represent the page — may produce truncated or low-quality output
Page is behind authentication or bot-detection — fetch may fail or return login wall content

Input

Schema · Request body

Field	Type	Description
focus	string
max_tokens	integer
source_url	string	Public https URL to compact

Output

Schema · Response

{
  "type": "json",
  "example": {
    "ok": true,
    "method": "llm",
    "compact": "Base is an Ethereum L2.",
    "service": "context_compact",
    "source_url": "https://docs.base.org"
  }
}

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How this service works

Use when an agent must fit a public HTTPS page into a token budget. Fetches the URL and compacts it. LLM first; extractive fallback if the bus is down. A failed fetch is not an empty document.

Output

Example use cases

Research article within context window

“Pull down this research paper at https://arxiv.org/abs/2401.12345 and compact it to 2000 tokens so I can feed it into my analysis — focus on the methodology section.”

Competitor landing page digest

“Fetch https://competitor.com/pricing and compress it to 800 tokens so I can drop it into my prompt — I care most about the plan tiers and limits.”

Documentation snippet for agent reasoning

“Grab the docs page at https://docs.example.com/api/reference and squish it down to 1200 tokens, focusing on authentication, so my agent can reason about how to call the API.”

Technical details

Endpoint

POSThttps://ari001.tailb4ac3a.ts.net/v1/context/compact

When to prefer

Side effects

URL is not publicly accessible or returns a non-200 status — returns a fetch error, not empty content
URL is not HTTPS or is malformed — request rejected
LLM compaction service unavailable — falls back to extractive method; if both fail, error returned
max_tokens value too small to meaningfully represent the page — may produce truncated or low-quality output
Page is behind authentication or bot-detection — fetch may fail or return login wall content

Input

Schema · Request body

Field	Type	Description
focus	string
max_tokens	integer
source_url	string	Public https URL to compact

Output

Schema · Response

{
  "type": "json",
  "example": {
    "ok": true,
    "method": "llm",
    "compact": "Base is an Ethereum L2.",
    "service": "context_compact",
    "source_url": "https://docs.base.org"
  }
}