API reference · Reddit
reddit/app/dynamic-search
Integrate this model through SandBase's unified API, with production-ready schemas and examples.
Production endpoint
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OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/api/reddit/app/dynamic-searchModel ID
reddit/app/dynamic-search01
Input Schema
8 parameters · 1 required · 7 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
query | string | Required | Search keyword |
sort | string | Optional | Sort method (only for post/comment/media): RELEVANCE, HOT, TOP, NEW, COMMENTS |
after | string | Optional | Pagination parameter for fetching next page · Default: "" |
allow_nsfw | string | Optional | Allow NSFW content, "0" or "1" · Default: "0" |
time_range | string | Optional | Time range (only for post/media): all, year, month, week, day, hour |
need_format | boolean | Optional | Whether to clean and format the data · Default: false |
safe_search | string | Optional | Safe search setting, "unset" or "strict" · Default: "unset" |
search_type | string | Optional | Search type: post, community, comment, media, people · Default: "post" |
02
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
03
Code Examples
Ready-to-run snippets
const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/api/reddit/app/dynamic-search", {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"after": "",
"query": "OpenAI",
"allow_nsfw": "0",
"need_format": false,
"safe_search": "unset",
"search_type": "post"
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());