scholar/explain
Generate explanations for search results in different languages and formats.. Supports streaming (COMPLETE/INCREMENTAL) and non-streaming modes.
Example output — click Run to generate your own
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OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runscholar/explainInput Schema
4 parameters · 1 required · 3 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
query | string | Required | The original search query to explain results for. |
results | object[] | Optional | Search results to explain. Typically from a prior search/scholar or search/mixed call. |
language | string | Optional | Language for the explanation output. |
response_mode | string | Optional | NON_STREAMING returns JSON; COMPLETE/INCREMENTAL stream server-sent events. · Options: NON_STREAMING, COMPLETE, INCREMENTAL NON_STREAMINGCOMPLETEINCREMENTAL |
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 |
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/explain",
"prompt": "a beautiful sunset over mountains"
}'API README
Scholar Explain
Generate explanations for search results in different languages and formats. Supports streaming (COMPLETE/INCREMENTAL) and non-streaming modes. It is suitable for academic-search, text-generation workflows.
Capability
Generate explanations for search results in different languages and formats. Supports streaming (COMPLETE/INCREMENTAL) and non-streaming modes. 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.