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library.forgemesh.io – Ask The Time Machine
x402
library.forgemesh.io – Ask The Time Machine is a paid API for AI agents from library.forgemesh.io, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-13).
Performs full-text retrieval over H.G. Wells' The Time Machine, returning the most relevant passages with chapter and location citations in response to a question.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ask a question about The Time Machine and get back the most relevant passages from the book itself, with chapter and location citations. Retrieval only — full-text search, not a generated summary or answer. No license, no API key required.
Output
An ordered list of up to 15 (default 5) passages extracted directly from the text of The Time Machine, each accompanied by chapter identification and location metadata indicating where in the book the passage appears. No AI-generated summaries — raw source text only.
Example use cases
Literary essay source finding
“I'm writing an essay on class conflict in The Time Machine — can you pull the 8 most relevant passages from the book that discuss the Eloi and Morlocks as social allegory, with chapter locations?”
Book club discussion prep
“We're discussing The Time Machine tonight — find me the passages where the Time Traveller first describes the far future landscape, so I have the exact text in front of me.”
Fact-checking a quote
“Someone quoted The Time Machine as saying something about entropy and the dying sun — can you search the book and show me the actual passages on that theme, up to 5 results?”
Technical details
Endpoint
POSThttps://library.forgemesh.io/ask-the-time-machineWhen to prefer
Choose this endpoint when you need grounded, citable passages directly from the text of The Time Machine — not a paraphrase or AI-generated answer. Ideal for literary research, essay writing, fact-checking quotes, or book club prep where verbatim source text with chapter citations matters. Prefer over general LLM recall because results are deterministic retrieval from the actual book, not hallucinated summaries.
Side effects
- Question too vague or abstract to match any passage — returns low-relevance or empty results
- Exceeding the max limit of 15 passages returns a validation error
- Network or payment failure (x402 protocol) prevents the call from completing
- Question about a different book or author returns irrelevant results since the corpus is fixed to this single title
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| limit | integer | Max passages (default 5, max 15) |
| question | string | Your question about the book, e.g. "what are the Morlocks and Eloi?" |
Output
Schema · Response
{
"type": "json",
"example": {
"count": 3,
"title": "The Time Machine",
"author": "Wells, H. G. (Herbert George)",
"method": "full-text retrieval — returns the most relevant passages from the book for your question; no summarization or generation",
"book_id": 35,
"passages": [
{
"text": "…these people I saw were not sophisticated…they struck me as being infantile…",
"chapter": 5,
"location": "chapter 5, passage #40"
}
],
"question": "what are the Morlocks and Eloi"
}
}Tags
x402
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