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x402-seller Research Report Generator
x402
x402-seller Research Report Generator is a paid API for AI agents from x402-seller-pmlm.onrender.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).
Generates a concise research report on a given topic via a paid HTTP GET request
Price / call$0.01
Success—
StatusUnknown
How this service works
Web research in one call: ask a question and get a short cited answer, summarize a topic or get a Wikipedia summary. Returns a 1-3 sentence answer, key points tied to source ids, and the sources used (typically 1-5: title, URL, publisher, date, supporting quote), confidence and a free permalink. Sources: Wikipedia first, plus web pages, Stack Overflow, GitHub, papers, docs. Example: "What is the Model Context Protocol?". 0.01 USDC/call; failed calls are free.
Output
A concise, AI-generated research report covering the requested topic, typically including key findings, trends, and a summary of relevant information in a compact textual format.
Example use cases
Quick competitive landscape brief
“Give me a short research report on the top players in the electric vehicle battery market right now.”
Tech overview for decision-making
“I need a concise research report on large language model fine-tuning techniques — what are the main approaches and trade-offs?”
Market research summary
“Generate a brief research report on the state of the plant-based meat industry, including key trends and major companies.”
Technical details
Endpoint
GEThttps://x402-seller-pmlm.onrender.com/report?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost ($0.01 USDC) AI-generated research report on a topic without needing deep customization or sourced citations. Ideal for quick briefings, preliminary research, or when you want a concise overview rather than an exhaustive analysis. Not ideal if you need real-time web search, citations, or domain-specific deep dives.
Side effects
- Missing or malformed topic/query parameter may result in a generic or empty report
- Payment failure (402) if USDC funds are insufficient or x402 payment header is missing
- Service unavailability due to cold starts on Render free-tier hosting
- Rate limiting if too many requests are sent in rapid succession
- Overly broad topics may yield shallow or unfocused reports
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"query": "What is the Model Context Protocol?",
"answer": "The Model Context Protocol (MCP) is an open standard and open-source framework introduced by Anthropic in November 2024 to standardize the way artificial intelligence (AI) systems like large language models (LLMs) integrate and share data with external tools, systems, and data sources. MCP provides a standardized interface for reading files, executing functions, and handling contextual prompts.",
"method": "extractive (Wikipedia lead + ranked sentences)",
"sources": [
{
"id": 1,
"url": "https://en.wikipedia.org/wiki/Model_Context_Protocol",
"type": "encyclopedia",
"quote": "The Model Context Protocol (MCP) is an open standard and open-source framework introduced by Anthropic in November 2024 to standardize the way artificial intelligence (AI) systems like large language models (LLMs)…",
"title": "Model Context Protocol",
"published": "2026-10-06",
"publisher": "Wikipedia"
},
{
"id": 2,
"url": "https://github.com/modelcontextprotocol/servers",
"type": "web_page",
"quote": "This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references to community-built servers and additional resources.",
"title": "modelcontextprotocol/servers: Model Context Protocol Servers",
"published": "2026-10-07",
"publisher": "GitHub"
},
{
"id": 3,
"url": "https://github.com/modelcontextprotocol/python-sdk",
"type": "web_page",
"quote": "The Model Context Protocol lets you build servers that expose data and functionality to LLM applications in a secure, standardized way.",
"title": "modelcontextprotocol/python-sdk: The official Python SDK for Model Context Protocol servers and clients",
"published": "2026-10-05",
"publisher": "GitHub"
}
],
"latencyMs": 1087,
"permalink": "https://x402-seller-pmlm.onrender.com/a/example-mcp",
"checked_at": "2026-10-09T17:43:22.098Z",
"confidence": "high",
"key_points": [
{
"text": "This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references to community-built servers and additional resources.",
"citations": [
2
]
},
{
"text": "The Model Context Protocol lets you build servers that expose data and functionality to LLM applications in a secure, standardized way.",
"citations": [
3
]
}
],
"sourceCount": 3,
"confidence_why": "3 cited sources from 2 publisher(s), no primary/authoritative source found.",
"answer_citations": [
1
]
}
}Tags
x402
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