Freshness
Updated source context
Use feeds when the agent needs current information beyond model training data and static documentation.
Agent data feeds
AI agent data feeds should be source-grounded.
When teams search for AI agent data feeds, they usually need fresh web context their agent can store, filter, cite, and reuse. A feed should be more than URLs or scraped text.
Synorb turns watched sources into Streams of Manifests with source URLs, dates, stable IDs, tags, Briefs, Signals, and delivery metadata.
MCP · REST · Source URLs · Stable IDs · Manifests
01 / Criteria
What should the data layer include?
For programmatic feeds of current, source-backed updates designed for AI agents and 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 AI agent data feeds?
AI agent data feeds are structured streams of current, source-backed information that agents can retrieve, cite, filter, and use inside workflows.
How is Synorb different from a scraping job?
Synorb watches known source coverage and delivers normalized Manifests with provenance, instead of forcing each agent request to scrape pages again.
How do agents connect to Synorb data feeds?
Agents can use Core MCP at https://mcp.synorb.com/mcp. Product backends can use REST APIs and webhooks for current delivery, plus S3 archive exports for historical backfills.
When should teams still use search?
Use search for unknown sources or one-off discovery. Use feeds when the same sources need to stay current and reusable.
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.