Freshness
Updated source context
Use feeds when the agent needs current information beyond model training data and static documentation.
Agent web search
The best web search API for AI agents depends on the workflow.
AI agents use web search for open-ended discovery, but production workflows often need the same sources watched, summarized, cited, and delivered again and again.
Synorb is feed-first for known coverage areas: it gives agents source-grounded Manifests with source URLs, dates, stable IDs, tags, Signals, and Briefs.
MCP · REST · Source URLs · Stable IDs · Manifests
01 / Criteria
What should the data layer include?
For web search and source-grounded feeds for AI agent workflows, 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 should teams look for in a web search API for AI agents?
Look for freshness, source URLs, stable IDs, citation support, structured output, predictable delivery, and a clear boundary between discovery and monitored coverage.
When should an agent use search?
Use search when the agent does not know which sources matter yet or needs broad open-web discovery.
When should an agent use Synorb instead?
Use Synorb when the workflow needs recurring source-grounded context from watched topics, industries, companies, policy sources, or other known coverage areas.
Can search and Synorb work together?
Yes. Search can discover new sources, while Synorb can keep known coverage current through MCP, REST, webhooks, and S3 archive exports.
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.