API reference · Financial Datasets
financial-datasets/earnings
Integrate this model through SandBase's unified API, with production-ready schemas and examples.
Production endpoint
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/api/financial-datasets/earningsModel ID
financial-datasets/earnings01
Input Schema
3 parameters · 1 required · 2 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
ticker | string | Required | The ticker symbol (e.g. `AAPL`). |
limit | integer | Optional | Number of most-recent report periods worth of filings to return, sorted by `(report_period DESC, filing_date ASC)`. The number of entries returned may exceed `limit` when a recent period has both an 8-K and a 10-Q / 10-K. Values above 40 are clamped to 40. Non-positive or non-integer values return 4 · Min: 1 · Max: 40 · Default: 1 |
cursor | string | Optional | Opaque pagination cursor from a previous response's next_page_url. When provided, all other query parameters are ignored: the cursor carries the original request's filters. Treat it as opaque; do not construct or modify it. |
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/financial-datasets/earnings", {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"limit": 1
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());