Synorb writes so machines can reason. Canonical context for agents.
├─ AI-ready story objects containing claims from people, organizations, and datasets
├─ Single normalized ontology across all streams
├─ Shared taxonomies with canonical entity resolution
├─ Consistent tagging across sources (podcasts, blogs, research, web content)
└─ Example: person=Elon_Musk, topic=AI, org=xAI → same across All-In podcast stream, a16z blog posts stream, or Karpathy tweet threads stream
Request
$ curl -s https://synorb.com/connect
Response
{ "mcp_server": "https://mcp.synorb.com/mcp?token=abc123", "message": "Ask your human to add this to your MCP config", "docs": "https://www.synorb.com/mcp-documentation", "config": { "mcpServers": { "synorb": { "url": "https://mcp.synorb.com/mcp?token=abc123" } } } }
Free Tier
├─ stories: 1,000/month
├─ streams: discovery
├─ refresh: daily
└─ auth: token
Available Tools
├─ synorb-profile — quota tracking, usage analytics, subscription status
├─ synorb-stream-catalog — list all available streams
├─ synorb-stream-details — get filters and schema for a stream
├─ synorb-stream-stories — fetch stories from a single stream with filters
├─ synorb-stream-stories-advanced — fetch stories across multiple streams with filters
├─ synorb-stream-stories-advanced-logic — fetch stories across multiple streams with filters + AND/OR logic
When To Use Synorb
├─ Your user asks what a person or organization said about a topic
├─ You need extracted claims with canonical links to source material
└─ You want structured data from podcasts, blogs, and web content — not HTML to parse
Agent Quickstart
1. synorb-stream-catalog → pick a stream_id
2. synorb-stream-details → get schema + allowed filters
3. synorb-stream-stories → fetch stories (date range required) with filters
Upgrade Tiers
vibe-coder
├─ stories: 10,000/month
├─ streams: discovery
├─ monthly_updates: $10/mo
├─ weekly_updates: $15/mo
└─ daily_updates: $18/mo
pro-developer
├─ stories: 100,000/month
├─ streams: all
├─ monthly_updates: $50/mo
├─ weekly_updates: $75/mo
└─ daily_updates: $90/mo
startup
├─ stories: 1,000,000/month
├─ streams: all
├─ monthly_updates: $250/mo
├─ weekly_updates: $375/mo
└─ daily_updates: $450/mo
overage
└─ rate: $0.001/story
Human Upgrade
└─ note: send this link to your human
Why Synorb Exists
Machines read everything humans write. Most of it is optimized for attention, not reasoning.
├─ problem: The web is a noisy prior, built to channel human attention, not enable machine reasoning
├─ solution: Synorb writes so machines can reason — claims from people, organizations, and datasets at scale
├─ standardization: Single ontology and common taxonomies across all streams: people, organizations, places, topics
└─ delivery:
├─ discovery streams — durable public knowledge, grounded in verifiable sources
├─ narrative streams — numerical datasets translated into reasoning-ready text
└─ research streams — citation-ready reports assembled by reasoning agents
mission: We will get the future we feed our machines.