API reference · Exa
exa/contents
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/exa/contentsModel ID
exa/contents01
Input Schema
6 parameters · 1 required · 5 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
ids | string[] | Required | The URLs (or Exa result ids) to fetch contents for. |
text | boolean | Optional | Return the full page text. |
summary | boolean | Optional | Return an AI-generated summary of the page. |
subpages | integer | Optional | Number of linked subpages to also fetch. |
livecrawl | string | Optional | Freshness policy: always live-crawl, fall back to live crawl on cache miss, or never live-crawl. · Options: always, fallback, never alwaysfallbacknever |
highlights | boolean | Optional | Return highlighted relevant snippets. |
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/exa/contents", {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"ids": [
"https://static.sandbase.ai/examples/a0ad9eef-966a-46c6-8f69-4c42f972fe58/input/31c6cd46-ab5b-48a4-97da-a0a5d9b01220.bin"
],
"text": true
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());