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Abstractive Text Summarization via Meta-Router
x402
Abstractive Text Summarization via Meta-Router is a paid API for AI agents from srv1553682.hstgr.cloud, paid per call via x402, $0.0035/call, status unknown (last checked 2026-09-13).
Generates an abstractive summary of caller-provided text (up to ~4k characters) using a verified-quality meta-router with an in-house model, logging outcomes and never charging on failure.
Price / call$0.0035
Success—
StatusUnknown
How this service works
Abstractive summarization (~4k chars) via the verified-quality meta-router: in-house model first, outcome-logged, never charged on failure.
Output
An abstractive summary of the input text, condensed into a shorter passage that captures the main ideas. The model paraphrases rather than extracts verbatim sentences. The call is only charged on success.
Example use cases
Condense a research paper abstract
“I have this dense academic paper excerpt — can you give me a concise summary of what it's saying? Here's the text: [research text].”
TL;DR for a news article
“This news article is really long. Summarize it for me in a few sentences so I can get the gist quickly: [article text].”
Summarize customer feedback for a report
“I've collected a bunch of customer feedback and need a condensed summary of the main themes and sentiments. Here's the raw text: [feedback block].”
Technical details
Endpoint
POSThttps://srv1553682.hstgr.cloud/route/summarizationWhen to prefer
Choose this endpoint when you need abstractive (paraphrased, not extractive) summarization of a single block of text up to ~4k characters, and you want a cost-safe setup where failures are not billed. The meta-router design with outcome logging makes it preferable when reliability and fairness of billing matter. Good for article summaries, document digests, and report condensation tasks.
Side effects
- Input text exceeds ~4k character limit, potentially truncating or erroring
- Model unavailability may cause the meta-router to fail, though no charge is incurred on failure
- Empty or very short input text may return a low-quality or trivial summary
- Non-English text may produce degraded summarization quality depending on model support
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Tags
x402
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