LLM grounding feed

A real-time news data feed for LLM grounding needs current evidence.

LLM grounding is weakest when the model receives stale snippets or untraceable text. Current workflows need source-backed updates that can be cited, audited, and refreshed.

Synorb turns watched news and source channels into Manifests with source URLs, dates, stable IDs, Briefs, and Signals that can ground agents and RAG systems.

MCP · REST · Source URLs · Stable IDs · Manifests

What should the data layer include?

For current source-backed updates for grounding LLM answers and agent actions, 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 is a real-time news data feed for LLM grounding?

It is a stream of current source-backed updates that an LLM workflow can use to answer beyond training data and stale documents.

Why do source URLs matter for grounding?

Source URLs let the application show evidence, audit model output, and decide whether a retrieved item should be trusted.

How real-time is Synorb?

Synorb watches configured source coverage and delivers Manifests as current updates become available through the delivery path selected by the application.

Can this feed be used with agents and RAG?

Yes. Agents can retrieve Manifests through MCP, and RAG systems can ingest them through REST or webhooks.

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.