x402basequality 0.82

Search 19+ platforms (GitHub, HN, arXiv, X/Twitter, Reddit, etc.) in one API call with AI-synthesized research reports.

Price
per_call
Protocol
x402
Verified
no
Endpoint
https://scout.hugen.tokyo/scout/research

What it does

Scout is a multi-source intelligence API that lets you search across 19+ platforms — including Hacker News, GitHub, npm, PyPI, Stack Overflow, arXiv, Semantic Scholar, X/Twitter, Reddit, YouTube, Product Hunt, Dev.to, Lobsters, Hashnode, Qiita, Zenn, GitLab, Lemmy, and the x402 Bazaar — through individual endpoints or aggregated report calls. Each individual source endpoint costs $0.01 USDC per call (except X/Twitter at $0.20 due to upstream xAI costs).

The `/scout/research` endpoint (this listing) is a POST endpoint that searches 14 free sources in parallel, then synthesizes findings using AI into a structured report containing a summary, key findings, sentiment analysis, trends, and recommendations alongside the raw search results. You can choose a focus mode — technical, market, or sentiment — to steer the analysis. It costs $0.25 USDC per call on Base. A deeper variant at `/scout/research/deep` covers all 18 sources including X/Twitter, Product Hunt, Reddit, and YouTube for $0.50 per call.

Scout also offers aggregated raw-data reports without AI synthesis: `/scout/report` ($0.01, 14 sources) and `/scout/report/full` ($0.25, 18 sources). All endpoints accept x402 USDC payments on Base and Solana. Alternative access methods include a broker API (via discovery.hugen.tokyo with an API key), an MCP server at mcp.hugen.tokyo, and a Python SDK (`pip install x402-pay`).

Capabilities

multi-source-searchai-synthesishacker-news-searchgithub-searchnpm-searchpypi-searcharxiv-searchsemantic-scholar-searchx-twitter-searchreddit-searchyoutube-searchproduct-hunt-searchstackoverflow-searchdevto-searchgitlab-searchintelligence-reportsentiment-analysistrend-detection

Use cases

  • —Generating a comprehensive technical landscape report on a new framework or protocol
  • —Monitoring community sentiment and adoption trends across developer platforms
  • —Conducting competitive analysis by aggregating mentions across GitHub, HN, Product Hunt, and X/Twitter
  • —Finding relevant academic papers and open-source projects for a research topic
  • —Building an AI agent that autonomously researches topics before making decisions

Fit

Best for

  • —AI agents needing broad multi-platform search in a single call
  • —Developers wanting aggregated tech intelligence without managing 19 API integrations
  • —Research workflows requiring AI-synthesized summaries with source citations
  • —Market and sentiment analysis across developer and academic communities

Not for

  • —High-frequency real-time monitoring (each call costs $0.25 and takes ~3.5 seconds)
  • —Deep full-text search within a single platform (use dedicated APIs for that)
  • —Non-technical or consumer-focused market research (sources are developer/academic-oriented)

Quick start

curl -X POST https://scout.hugen.tokyo/scout/research \
  -H 'Content-Type: application/json' \
  -H 'X-Payment: <x402-payment-header>' \
  -d '{"query": "AI agent frameworks comparison", "focus": "technical", "per_page": 5}'

Example

Request

{
  "focus": "technical",
  "query": "AI agent frameworks comparison",
  "per_page": 5
}

Response

{
  "meta": {
    "model": "ai-synthesis",
    "sources_queried": 14,
    "sources_responded": 12,
    "processing_time_ms": 3500
  },
  "depth": "balanced",
  "query": "AI agent frameworks",
  "synthesis": {
    "trends": [
      "Multi-agent orchestration",
      "Tool-use patterns"
    ],
    "summary": "AI agent frameworks are rapidly evolving...",
    "sentiment": "positive",
    "key_findings": [
      "LangChain leads in GitHub stars",
      "CrewAI gaining traction"
    ],
    "recommendations": [
      "Evaluate LangGraph for complex workflows"
    ],
    "sources_analyzed": 12
  }
}

Endpoint

URLhttps://scout.hugen.tokyo/scout/research
Transporthttp
Protocolx402
Pay to0x29322Ea7EcB34aA6164cb2ddeB9CE650902E4f60
CurrencyUSD COIN

Quality

0.82/ 1.00

Full OpenAPI 3.0.3 schema with detailed parameter descriptions for all endpoints, live 402 challenge captured with a sample response showing the synthesis structure. Docs pages (e.g., /docs, /pricing) return 404, so documentation beyond the OpenAPI spec is unavailable. The example response is derived from the 402 challenge payload rather than a full live response.

Warnings

  • —No dedicated documentation pages found (/docs, /pricing, /api all return 404)
  • —Response schema for the synthesis output is not formally defined in the OpenAPI spec — only described textually
  • —Example response is inferred from the 402 challenge payload, not a confirmed full response

Citations

Provenance

Indexed fromx402_bazaar
Enriched2026-04-22 02:22:58Z · anthropic/claude-opus-4.6 · v2
First seen2026-04-21
Last seen2026-04-22

Agent access

JSONhttps://clawmart.sh/api/listings/WHV8sr