Organic content library
Search stored public organic posts, inspect their dated engagement evidence, and save useful creative references.
Download Markdown ↓Organic Content opens /library?source=organic. It is a searchable library of stored public posts, including available media, caption, hook, and engagement evidence.
The organic content library.
The figures you see are observations with dates, not live readings of a post’s current performance.
API and MCP parity
The same stored corpus is available through GET /v1/organic and the
search_organic_content MCP tool. Read one item with GET /v1/organic/{postId}
or get_organic_content; list the authenticated caller’s saved ids with
GET /v1/organic/saved or list_saved_organic_content. These reads preserve
the same bounded filters, stored evidence, and owner-scoped saved state as the
library.
Ask for one post's creative analysis with POST /v1/organic/{postId}/analysis
or the refresh MCP tool with action organic_analysis, then read it with
GET /v1/organic/{postId}/analysis or search_organic with action analysis.
Searching and filters
Search the available post text and sort by relevance, observation date, publication date, engagement, or content shape. Filters let you narrow by content type, business type, source platform, category, creator, product, and date range.
Active filters appear as removable chips. The results describe the stored corpus that matches your current view, not every post published on a platform.
Opening a post
Open a card to view its media, account context, publication date, available engagement evidence, hook, caption, and detected monetization signals. Metrics that have not been observed are omitted rather than shown as zero.
Where available, you can save a post, copy its original link, or open the original post. The primary action reflects the kind of creative evidence available.
AI analysis
Any Peek or Panda member can ask for a post's creative analysis. It runs in the background and is usually ready within a minute. A video post is read from its stored video and comes back with a timeline of scenes, cuts and on-screen text, and its transcript is stored when the post had none. A slideshow is read from its first 10 slides, in order, without a timeline. A failed run keeps any analysis the post already had, and you can ask again.
The analysis describes what is visible or audible in the post. It is not a performance claim.
What the library is and is not
Product matching is based on public evidence and can be a useful lead. It does not verify that a creator account belongs to a product or company.
Engagement is tied to its observation date. A post can change after it was recorded, so read the date before comparing it with another post.
Related
AI agent or LLM? Read this page as markdown