NetIntel Text Summarizer is a paid API for AI agents from netintel-production-440c.up.railway.app, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-13).
Summarizes a block of text into a concise summary with key points, a quality grade, compression ratio, and word counts
Summarize any text or web page into a concise summary plus key bullet points using Claude Haiku — accepts raw text or a URL (which it fetches and extracts), enforces an input cap, and returns a clean structured summary so agents can compress documents and articles in one call.
Returns a JSON object with a letter grade (e.g. 'A'), a numeric quality score (0–100), the source label, a prose summary, a list of findings, an array of key_points, a compression_ratio (float), summary_word_count, and original_word_count.
POSThttps://netintel-production-440c.up.railway.app/text-summarizeUse this endpoint when you need a structured, graded summary of a text passage with explicit key points and compression metrics. Prefer it over generic summarization when you want a quality score and grade alongside the summary, or when operating in an x402 micropayment-enabled agentic pipeline that bills per call in USDC on Base.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"grade": "A",
"score": 100,
"source": "text",
"summary": "The James Webb Space Telescope captured its deepest infrared image yet, revealing thousands of galaxies. Known as Webb's First Deep Field, it shows galaxy cluster SMACS 0723 acting as a gravitational lens to magnify far more distant galaxies. The image will help astronomers study galaxy formation in the early universe.",
"findings": [],
"key_points": [
"Webb captured its deepest infrared image to date",
"The image shows galaxy cluster SMACS 0723 as it appeared 4.6 billion years ago",
"The cluster's mass acts as a gravitational lens magnifying distant galaxies",
"It will aid the study of early-universe galaxy formation"
],
"compression_ratio": 0.67,
"summary_word_count": 52,
"original_word_count": 78
}
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