Freshness
Updated source context
Use feeds when the agent needs current information beyond model training data and static documentation.
Agent-ready datasets
Agent-ready datasets need provenance, not just rows.
A dataset is agent-ready when a model can find the right object, understand its context, cite the original source, and know when it was observed.
Synorb turns monitored source coverage into reusable Manifests with the identifiers and evidence an AI application needs.
MCP · REST · Source URLs · Stable IDs · Manifests
01 / Criteria
What should the data layer include?
For datasets shaped so agents can retrieve, filter, cite, and audit them, 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 makes a dataset agent-ready?
An agent-ready dataset has stable IDs, clear fields, source URLs, dates, tags, and enough summary context for retrieval and reasoning.
Can Synorb feed a dataset or warehouse?
Yes. Synorb can deliver current Manifests through REST and webhooks. S3 archive exports support historical backfills, replay, and older months beyond the live window.
Why does provenance matter for agent-ready data?
Agents often produce user-facing answers. Source evidence lets the application cite, inspect, and audit the data that shaped the answer.
Is this only for news data?
No. Synorb can monitor source coverage across companies, markets, policy, science, legal, media, and other configured domains.
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.