Built for agent inputs.
Markdown, semantic chunks, citations, freshness, and quality signals give agents cleaner source material.
Source-aware web context for AI agents
Sinyx turns public URLs into clean Markdown, chunks, citations, freshness, and quality signals that fit directly into LLM prompts, RAG pipelines, MCP tools, and monitoring agents.
{
"format": "context",
"citation": {
"sourceUrl": "https://example.com/page",
"fetchedAt": "2026-05-02T09:00:00Z"
},
"freshness": { "label": "recent" },
"chunks": [
{
"headingPath": "Root > Pricing",
"priority": 0.86,
"content": "Clean, source-aware output..."
}
]
}
Live product proof
Paste a public URL, verify, and inspect the output. The demo is intentionally limited, but it uses the same extraction path as the API.
Awaiting URL...
Markdown, semantic chunks, citations, freshness, and quality signals give agents cleaner source material.
The published MCP package lets Codex, Claude, Cursor, and other compatible tools call Sinyx directly.
Private ranges, local hostnames, metadata endpoints, redirect abuse, and unsafe protocols are blocked.
The same engine powers managed monitoring for tenders, competitors, and source-cited market changes.
Managed services powered by the engine
Sinyx stays a reusable web-context engine. The first focused service offer is managed monitoring: give us sources, define signals, and receive source-cited briefings.
Watch public opportunity pages for fresh matches and summarize why each one may matter.
Track pricing, product, hiring, docs, and landing-page updates with the source kept attached.
Daily or weekly summaries with source links, change notes, relevance, and suggested next action.
Builders can still use the core extraction API directly through RapidAPI and the public docs.
Use Sinyx from agent tools when you need fresh web context without switching workflows.
What repeats in pilots becomes product. What does not sell stays off the roadmap.
Use this product directly through RapidAPI and MCP, or bring Sinyx into managed monitoring when you want a business outcome first.