scholar/search-scholar
Perform academic paper search using Google Scholar or similar sources.
Input
Search query for scholarly materials.
1100
Maximum number of search results to return, up to 100. Range: 1 to 100.
19002030
Year of publication lower bound. Range: 1900 to 2030.
19002030
Year of publication upper bound. Range: 1900 to 2030.
Idle
Example output — click Run to generate your own
Production endpoint
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/runModel ID
scholar/search-scholar01
Input Schema
4 parameters · 1 required · 3 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
query | string | Required | Search query for scholarly materials. |
as_yhi | integer | Optional | Year of publication upper bound. · Min: 1900 · Max: 2030 |
as_ylo | integer | Optional | Year of publication lower bound. · Min: 1900 · Max: 2030 |
max_num_results | integer | Optional | Maximum number of search results to return, up to 100. · Min: 1 · Max: 100 |
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
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "scholar/search-scholar",
"prompt": "a beautiful sunset over mountains"
}'API README
Scholar Academic Search
Perform academic paper search using Google Scholar or similar sources. It is suitable for academic-search workflows.
Capability
Perform academic paper search using Google Scholar or similar sources. It helps applications, agents, and automated workflows turn that capability into repeatable tasks and useful downstream experiences.
Common use cases
- Search and discover relevant records for research, monitoring, and product experiences.
- Create repeatable integrations that pass structured results to downstream business systems.
- Support scheduled jobs, internal tools, and agent workflows with structured results.