Search content
Search across all your saved content with full-text matching, filters, and faceted results.
Scope: search
Query parameters
| Parameter | Type | Default | Description |
|---|
q | string | required | Search query |
limit | integer | 20 | Results per page (1-50) |
offset | integer | 0 | Offset for pagination (0-10000) |
sort_by | string | relevance | Sort order: relevance, saved_at, or title |
sort_order | string | desc | Sort direction: asc or desc |
Filters
| Parameter | Type | Description |
|---|
platforms | string | Comma-separated platform filter (e.g. youtube,twitter) |
tags | string | Comma-separated tag filter |
creators | string | Comma-separated creator handles |
collection_ids | string | Comma-separated collection IDs |
favorites_only | boolean | Only return favorites |
archived_only | boolean | Only return archived items |
has_ai_analysis | boolean | Filter by AI analysis status |
saved_after | integer | Unix timestamp — only items saved after this time |
saved_before | integer | Unix timestamp — only items saved before this time |
Example
curl "https://api.animus.so/api/v1/search?q=machine+learning&platforms=youtube,web&limit=10&sort_by=saved_at" \
-H "Authorization: Bearer anm_your_key"
Response
{
"hits": [
{
"user_content_id": "uuid",
"title": "Introduction to Transformers",
"short_summary": "A comprehensive guide to transformer architecture...",
"thumbnail_url": "https://example.com/thumb.jpg",
"original_url": "https://example.com/transformers",
"platform": "web",
"domain": "example.com",
"creator_name": "Author Name",
"creator_handle": "authorhandle",
"personal_tags": ["ml", "transformers"],
"is_favorite": false,
"is_archived": false,
"saved_at": 1705312200,
"collection_ids": ["uuid"],
"text_match_score": 0.95,
"highlights": [
{
"field": "title",
"snippet": "Introduction to <mark>Transformers</mark>"
}
]
}
],
"found": 42,
"out_of": 1250,
"page": 0,
"search_time_ms": 12,
"has_more": true,
"facets": {
"platforms": [
{ "value": "web", "count": 28 },
{ "value": "youtube", "count": 14 }
],
"tags": [
{ "value": "ml", "count": 35 },
{ "value": "ai", "count": 22 }
]
}
}
Response fields
| Field | Type | Description |
|---|
hits | array | Matching content items |
found | integer | Total matching documents |
out_of | integer | Total documents in your library |
page | integer | Current page number |
search_time_ms | integer | Search execution time in milliseconds |
has_more | boolean | Whether more results are available |
facets | object | Aggregated counts for platforms, tags, and creators |
Hit fields
| Field | Type | Description |
|---|
user_content_id | string | Content item ID |
title | string | Content title |
short_summary | string | Brief summary |
thumbnail_url | string? | Thumbnail image URL |
original_url | string | Source URL |
platform | string | Platform (e.g. web, youtube, twitter) |
domain | string | Source domain |
creator_name | string? | Creator display name |
creator_handle | string? | Creator handle/username |
personal_tags | string[]? | User-assigned tags |
is_favorite | boolean | Whether item is favorited |
is_archived | boolean | Whether item is archived |
saved_at | integer | Unix timestamp when saved |
collection_ids | string[]? | IDs of collections containing this item |
text_match_score | number | Relevance score (0-1) |
highlights | array? | Matched text snippets with <mark> tags |
Use facets to build filter UIs — they show what values exist in the result set and how many items match each value.
