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websearch.hergertsynthora.com Web Search
x402
websearch.hergertsynthora.com Web Search is a paid API for AI agents from websearch.hergertsynthora.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).
Performs keyless multi-source web search and optionally extracts the main content of the top result as clean markdown, for AI agents needing fresh information without managing search API keys.
Price / call$0.05
Success—
StatusUnknown
How this service works
Keyless web search for AI agents. Give it a natural-language query and it returns ranked organic results (title, url, snippet) drawn from live multi-source search (DuckDuckGo HTML/Lite plus public SearXNG instances, with automatic fallback so it never returns empty when one source flakes). Optionally it also fetches the top result and extracts the main content as clean, token-budgeted markdown (answer_extract), so an agent can read the page without running its own crawler, browser or scraper. Use it to answer real-world questions, gather fresh facts, research a topic, find documentation or check what a site says, without maintaining a search index or paying for Google/Bing/Serper API keys. Resilient (short timeouts, multi-source), SSRF-hardened, 0.005 USDC on Base.
Output
Returns a ranked list of organic search results (each with title, URL, and snippet), plus optionally an answer_extract field containing the main content of the top result as clean, token-budgeted markdown scraped from the live page.
Example use cases
Example prompt
“Search the web for 'best practices for securing Redis in production 2024' and give me the top 5 results — and also pull the main content from the top result so I can read it directly.”
Technical details
Endpoint
POSThttps://websearch.hergertsynthora.com/serviceWhen to prefer
Choose this endpoint when an AI agent needs live, unkeyless web search without setting up Google, Bing, or Serper API credentials. It is ideal when you want both ranked results and the ability to read page content in one call (via answer_extract), avoiding a separate scraping step. Prefer it over self-hosted search when you want resilient multi-source fallback behavior and SSRF hardening out of the box.
Side effects
- All search sources (DuckDuckGo + SearXNG) temporarily unavailable — though automatic fallback between sources minimizes this
- Query too vague or empty — returns no meaningful results
- Top result page blocks scraping — answer_extract may be empty or partial
- SSRF guard triggers on certain internal/localhost-like URLs in extract mode
- Rate limiting or timeout on slow-loading pages when extract=true
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| query | string | Natural-language search query |
| extract | boolean | If true, also fetch the top result and return its main content as clean markdown (answer_extract). Default: auto (extracts when a first URL is available). |
| max_results | integer | How many results to return (1-20, default 8) |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"niche": "websearch",
"result": {
"count": 5,
"query": "latest x402 protocol spec",
"source": "duckduckgo_html",
"results": [
{
"url": "https://example.com/spec",
"title": "x402 spec",
"snippet": "..."
}
],
"elapsed_ms": 1200,
"answer_source": "md_extract",
"answer_extract": {
"url": "https://example.com/spec",
"chars": 1234,
"title": "x402 spec",
"markdown": "# ...",
"extractor": "md_extract",
"tokens_estimate": 300
}
}
}
}Tags
x402
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