content integrity
How Strata validates information.
Every item in Strata passes through a multi-stage pipeline before it reaches your agent. Here's exactly how it works.
Source Collection
Strata monitors four types of sources per ecosystem, continuously pulling content from across the AI developer community.
Recency Filter
Items older than 7 days are discarded immediately. GitHub releases are limited to the 5 most recent per repository. Reddit posts are pulled from /new to catch the freshest content.
Deduplication
Before any content reaches validation, Strata checks each item against its database of previously seen source URLs. Items already in the system are discarded instantly — no redundant processing, no repeated content.
AI Validation
Each surviving item is evaluated against four criteria. Items that fail any criterion are rejected.
Ecosystem relevance
Directly relevant to developers using this ecosystem — not passing mentions or tangential content.
Accuracy
Not misleading, outdated, or contradicted by official sources.
Developer utility
Useful to someone building a production AI application — not consumer-facing or promotional.
Substance
Sufficient detail to be actionable — not one-line posts or link-only content.
High confidence
published automatically
Medium confidence
flagged for review
Low confidence
rejected
Near-Duplicate Removal
After individual validation, surviving items are reviewed as a batch. When multiple items cover the same story from different sources, only the highest quality version is kept.
Community Submissions
Developers can submit integrations, best practices, and tips directly. Every submission passes through the same AI validation pipeline before publication — high confidence submissions are published automatically, others are reviewed manually.
Not a firehose.
On a typical day, Strata processes hundreds of items per ecosystem and publishes the top 20–30%. What reaches your agent has earned its place.
See the API →