API reference · FRED

fred/sources

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

APISynchronousOpen model
Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/api/fred/sources
Model IDfred/sources
01

Input Schema

7 parameters · 0 required · 7 optional

ParameterTypeRequiredDescription
limitintegerOptionalThe maximum number of results to return. integer between 1 and 1000, optional, default: 1000 · Min: 1 · Max: 1000 · Default: 1000
offsetintegerOptionalnon-negative integer, optional, default: 0 · Min: 0 · Default: 0
order_bystringOptionalOrder results by values of the specified attribute. One of the following strings: 'source_id', 'name', 'realtime_start', 'realtime_end'. optional, default: source_id · Options: source_id, name, realtime_start, realtime_end · Default: "source_id"
source_idnamerealtime_startrealtime_end
file_typestringOptionalResponse format. Only json is supported. · Options: json · Default: "json"
json
sort_orderstringOptionalSort results is ascending or descending order for attribute values specified by order_by. One of the following strings: 'asc', 'desc'. optional, default: asc · Options: asc, desc · Default: "asc"
ascdesc
realtime_endstringOptionalThe end of the real-time period. For more information, see Real-Time Periods . YYYY-MM-DD formatted string, optional, default: today's date
realtime_startstringOptionalThe start of the real-time period. For more information, see Real-Time Periods . YYYY-MM-DD formatted string, optional, default: today's date
02

Output Schema

FieldTypeDescription
idstringUnique identifier for the generation task
statusstringTask status: pending, running, completed, failed, timeout
modelstringModel used for the generation
outputsarrayArray of output items
outputs[].urlstringURL of the generated artifact
outputs[].content_typestringMIME type (e.g. image/png, video/mp4)
errorobject | nullError details if failed, null on success
error.typestringMachine-readable error type code
error.messagestringHuman-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/fred/sources", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "limit": 1000,
    "offset": 0,
    "order_by": "source_id",
    "file_type": "json",
    "sort_order": "asc"
  }),
});

if (!response.ok) throw new Error(await response.text());
console.log(await response.json());