A story is a single content object engineered for machine consumption—structured intelligence your AI can immediately reason over, plus the source material to go deeper when needed.
Every story delivers two layers of value:
Intelligence layer — Token-optimized summaries, extracted entities, and structured metadata that reasoning systems (RAGs, AI agents, assistants) can consume directly. No parsing, cleaning, or extraction required.
Source layer — Citations, references, and raw excerpts from the original content. Your AI can verify claims, pull additional context, or run its own summarization when the use case demands it.
Whether the source was a podcast episode, SEC filing, earnings call, or research report—every story arrives in a consistent schema that eliminates the integration overhead your engineers would otherwise have to build.
Stories are the atomic unit of machine-readable intelligence. String them together across streams and time ranges to give your AI the context it needs to reason at scale.
A Discovery stream is a curated feed of stories from a specific source or knowledge domain. We transform publicly available content—press releases, podcasts, SEC filings, earnings calls, research reports, expert commentary—into machine-ready intelligence your AI can consume at scale.
For regulated industries, this solves a real problem. Enterprise AI tools like Copilot often have low utilization because compliance restricts them to internal datasets only—or blocks web access entirely. Discovery streams give compliance teams a controlled, auditable external data layer: documented sources, consistent schemas, traceable citations. Your AI gets access to outside intelligence without the risk profile of the open web.
Instead of inheriting the web's incentives built around SEO and ad performance, Discovery streams surface verifiable, high-signal content—a cleaner corpus for reasoning, free from noise and blind spots.
Absolutely! Your credentials include a unique MCP url that you can connect to with your Pro ChatGPT accounts in Developer mode.
Yes! Claude has native MCP support. Connect your Synorb MCP server directly to Claude Desktop for seamless access to streams.
Start with the free tier — 1,000 stories per month with no credit card required. Just enter your email above to receive access credentials instantly.
Test your credentials using our MCP Playground or API Playground. When you're ready to scale, signup for a paid plan.
Give your AI the context it deserves.
Update Frequencies determine how quickly new stories become available to your AI systems. All plans include a rolling 365 days of historical access—the difference is how fresh the latest intelligence is.
Monthly Updates: New stories available by 10am EST on the 1st of every month
Weekly Updates: New stories available by 10am EST every Monday
Daily Updates: New stories available by 10am EST every day
Why does freshness matter? Your AI is advising on a company that announced layoffs yesterday. With Monthly updates, it doesn't know. With Daily, it does. Higher update frequencies mean your AI reasons with current intelligence—essential for time-sensitive decisions, market movements, and fast-evolving situations.
Basic enables AI systems to query and analyze content within a single stream at a time. Perfect for focused questions like "What did the Fed say last week?" or "Summarize recent SEC filings from Tesla."
Advanced unlocks queries across multiple streams simultaneously—connecting dots between domains and identifying patterns across contexts. This is how you answer "How did VC sentiment on AI shift after the Fed announcement?" or "Which portfolio companies are mentioned in both earnings calls and regulatory filings?"
Think of Basic as reading one book at a time, while Advanced lets you cross-reference an entire library in a single query.
Narrative streams turn raw data into language your AI can actually use. Your LLM wasn't built to reason over 10,000 rows of jobs data—but it excels at reasoning over a paragraph. Narrative streams bridge that gap.
Research streams deliver citation-ready analysis and reports assembled by reasoning agents. Each report preserves sources, states assumptions, and updates on schedule—expanding the usable corpus that models can read, cite, and act upon.
Both stream types will be available starting late 2026 as add-on annual licenses.
Vibe Coder: 10K stories/month for $10-$18/mo. You're experimenting, building a side project, or seeing what machine-readable intelligence feels like. Includes Basic reasoning.
Pro Developer: 100K stories/month for $50-$90/mo. You're shipping real features and need reliable context at scale. Includes Basic + Advanced reasoning.
Early-Stage Startups: 1M stories/month for $250-$450/mo. You're building AI-powered products and context is core to your value prop. Includes Basic + Advanced reasoning.
All plans include Discovery streams. Narrative and Research streams require separate add-on licenses, coming late 2026. Upgrade or downgrade anytime—changes take effect at your next billing cycle.
AI search and crawling tools are excellent at retrieval—semantic search and clean content extraction. But retrieval is only the first step. You still have to:
Decide what to look for — What sources matter? What are you missing? These tools answer queries, but you have to know the right questions.
Normalize entities — "Apple" in one document, "Apple Inc." in another, "AAPL" in a third. You build the resolution layer.
Enforce consistency — A podcast transcript and an SEC filing return in completely different shapes. You write the parsers.
Track over time — Search tools answer "what exists now?" not "what changed since Tuesday?"
Apply domain expertise — They don't know that Sequoia's blog matters more than a random Substack for VC intelligence.
Synorb handles all of this. Every story arrives with entities resolved, sources curated, schemas consistent, and domain context built in. We've already done the months of engineering work so your AI can reason immediately.
Search tools help you find information. Synorb delivers knowledge.
Yes! We offer up to 5 years of historical data on many streams for a one-time fee. This is ideal for training datasets, backtesting models, or building comprehensive knowledge bases.
Historical archives are delivered via S3 buckets for quick, bulk data downloads — no need to paginate through API calls. Contact us to discuss which streams have extended history available and pricing for your specific needs.
Yes. We build private streams with custom shapes tailored to your specific intelligence needs — whether that's proprietary data sources, specialized entity extraction, custom update cadences, or unique formatting requirements.
Private stream deployments start at $25,000/year. Reach out to discuss your requirements and we'll scope a solution that fits your AI infrastructure.
Yes. We build private streams that deliver stories in near-real time for AI systems that need low-latency context updates. This is ideal for trading systems, monitoring dashboards, and any application where minutes matter.
Real-time capabilities are available as part of custom private stream deployments. Reach out to discuss your latency requirements and we'll design a solution that fits.