Freshness
Updated source context
Use feeds when the agent needs current information beyond model training data and static documentation.
Data feeds for agents
Data feeds for AI agents and RAG applications need freshness, shape, and evidence.
Agent and RAG builders often search for data feeds when a model needs current external context: company updates, policy changes, research releases, filings, media coverage, or source events.
Synorb packages watched source changes as Manifests so applications can route current context through MCP, REST, webhooks, retrieval stores, and dashboards without losing provenance.
MCP · REST · Source URLs · Stable IDs · Manifests
01 / Criteria
What should the data layer include?
For fresh source-grounded data feeds for agents, retrieval stores, and AI applications, the useful unit is not a loose search result. It is an object the agent can retrieve, cite, filter, store, and audit.
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.
02 / Shape
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"]
}
03 / Fit
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.
FAQ
Short answers for AI builders.
What are data feeds for AI agents?
They are programmatic streams of current source-backed updates that agents can retrieve, reason over, cite, and store.
What should a RAG data feed include?
A useful RAG feed includes source URLs, dates, stable IDs, summaries, tags, provenance, and delivery metadata.
Is Synorb a dataset or a live feed?
Synorb is a live feed and context graph for watched coverage areas. The live window covers current delivery, and S3 archive exports support historical replay.
How do developers connect data feeds to agents?
Use Core MCP for agent exploration, REST for backend calls, and webhooks when the application needs push-style updates.
Test
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
Start
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.