LLM-optimized news

An LLM-optimized news search API should reduce cleanup work for the agent.

LLM workflows waste context and tool calls when they receive duplicate links, boilerplate, stale snippets, or source text without evidence.

Synorb is feed-first for known coverage: it returns source-grounded Manifests that are compact enough for agent workflows and explicit enough for application storage.

MCP · REST · Source URLs · Stable IDs · Manifests

What should the data layer include?

For compact cited news and source updates for LLM applications, the useful unit is not a loose search result. It is an object the agent can retrieve, cite, filter, store, and audit.

Freshness

Updated source context

Use feeds when the agent needs current information beyond model training data and static documentation.

Grounding

Evidence stays attached

Source URLs, dates, and stable IDs help the application cite, inspect, and audit what the model used.

Delivery

MCP, REST, webhooks, and archives

Agents can explore through Core MCP. Production systems use REST and webhooks for current delivery. The live window covers the current calendar month plus the previous three full months; S3 archive exports support historical backfills and replay for older months.

A Manifest is the object the agent can use.

This JSON manifest is the source-grounded object delivered through MCP or REST. It is compact enough for an agent workflow and explicit enough for an application to store, cite, and audit.

Manifest excerptJSON
{
  "manifest_id": "1777525429698648000",
  "headline": "Source-grounded update for an AI workflow",
  "summary": "What changed, why it matters, and what source supports it.",
  "source": {
    "name": "Watched source",
    "url": "https://source.example/update",
    "published_date": "2026-06-21"
  },
  "delivery": {
    "mcp": "https://mcp.synorb.com/mcp",
    "rest": "https://api.synorb.com"
  },
  "tags": ["company", "topic", "source-backed"]
}

Where Synorb fits in the workflow.

Use Synorb when your team already knows the sources or topics it needs to monitor, and the workflow needs current context again and again. Use search or crawling for open-ended discovery.

Agents

Pull live context

Use Synorb MCP to discover Streams, inspect details, and retrieve Manifests inside an agent workflow.

RAG

Load before prompts

Push source-grounded Manifests into retrieval stores before users ask for current answers.

Apps

Render with citations

Build dashboards, feeds, monitors, and briefings with source URLs available at display time.

Short answers for AI builders.

What makes a news search API LLM-optimized?

It returns compact, structured, source-backed objects instead of making the model clean and infer structure from pages.

Is Synorb a search API?

Synorb is a source-grounded feed and context graph. It can reduce repeated searches for known coverage areas, while search remains useful for open-ended discovery.

What does an LLM-ready object include?

It includes a summary, source URL, date, stable ID, tags, provenance, and delivery metadata.

How can agents test Synorb?

Use https://synorb.com/connect to get free test credentials, then call Core MCP or REST.

Test Synorb feeds for free.

Want to connect to Synorb's graph to test source-grounded feeds for free? Start with free test credentials, then connect through Core MCP or REST.

Free test credentialscurl
curl -s https://synorb.com/connect

Give your agent fresh source-backed context.

Start with keys, then connect through Core MCP while building or REST when your application owns the workflow.