API reference · Kalshi
kalshi/trades
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/kalshi/tradesModel ID
kalshi/trades01
Input Schema
6 parameters · 0 required · 6 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
limit | integer | Optional | Number of results per page. Defaults to 100. Maximum value is 1000. · Min: 0 · Max: 1000 · Default: 100 |
cursor | string | Optional | Pagination cursor. Use the cursor value returned from the previous response to get the next page of results. Leave empty for the first page. |
max_ts | integer | Optional | Filter items before this Unix timestamp |
min_ts | integer | Optional | Filter items after this Unix timestamp |
ticker | string | Optional | Filter by market ticker |
is_block_trade | boolean | Optional | Filter trades by whether they are block trades. Omit to return all trades. Set to `true` to return only block trades. Set to `false` to return only non-block trades. |
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/kalshi/trades", {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"limit": 100
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());