Web data API

A web data API for AI agents should be feed-first.

The web changes constantly, but agents need a stable interface to that change. A web data API should make current context usable without brittle page parsing in every workflow.

Synorb watches known coverage areas and delivers structured Manifests through Streams, with source evidence and delivery metadata attached.

MCP · REST · Source URLs · Stable IDs · Manifests

What should the data layer include?

For programmatic web-derived data delivered as stable, source-grounded objects, 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 web data API for AI agents?

It is a programmatic interface that gives AI agents current web-derived context in structured, citable objects.

How is a feed-first API different from crawl-first access?

A feed-first API monitors known coverage and delivers reusable objects. Crawl-first access asks each workflow to discover and parse pages repeatedly.

What delivery options does Synorb support?

Synorb supports Core MCP for agent workflows, REST for backend calls, webhooks for push workflows, and S3 archive exports for backfills and replay.

What makes the data usable for agents?

Stable IDs, source URLs, dates, tags, summaries, and provenance make the object easier to retrieve, cite, and audit.

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.