Independent guide · Checked 17 October 2026

Muse Wonder API: from model ID to a controlled first call

This guide explains a direct Meta Model API integration. It does not issue API keys or run a paid request on your behalf.

Choose the direct API route

Meta’s overview specifies https://api.meta.ai/v1 as the API base and muse-wonder-1.0 as the regular Wonder model ID. Authentication uses your own provider credential. Begin in the official developer dashboard, enable the billing/access required by your account, and keep the key on your server or in a local environment variable.

Do not paste a key into this site’s calculator, a public repository or browser-delivered JavaScript. A key authenticates billable requests. The calculator needs only workload numbers and performs arithmetic locally.

Read a minimal request before running it

The following uses the official Responses endpoint and regular Wonder ID. It is an instructional example, not a request executed for this guide. Set MODEL_API_KEY in your own shell first; do not replace it in a shared screenshot.

curl https://api.meta.ai/v1/responses \
  -H "Authorization: Bearer $MODEL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"muse-wonder-1.0","input":"Explain a cache hit in one sentence."}'

Begin with one short request. Confirm the returned model, output and usage before adding files, tools, parallel workers or a retry loop. This isolates authentication and request-format mistakes from application logic.

Budget the whole request loop

The API pricing page covers the three token rates and separate search charges. Multiply the per-request estimate by every attempted model call, including planner steps, retries and sub-agent calls. A user-visible task can contain several billable requests.

  • Log usage after each completed request and associate it with a task ID.
  • Distinguish cached input from total input; a repeated prompt is not proof of a cache hit.
  • Set application limits on tool rounds, output size and retry count.
  • Start with a small test cohort and inspect actual charges before raising concurrency.

Diagnose failures by layer

SymptomFirst checkAvoid
Authentication failureCredential and selected provider accountPrinting a secret into logs
Model not availableExact catalog ID and account accessInventing a Full API ID
Rate-limit responseRetry-After and team usageAn immediate unbounded retry loop
Media ignoredAPI surface and client attachment supportAssuming the model never supports that input
Unexpected billAll calls, cache usage and toolsCounting only the final answer

For third-party coding clients or OpenRouter, use the integration guide; provider namespaces and credentials differ. Keep a copy of a redacted request and the error code so that troubleshooting can reproduce the problem without disclosing secrets.

Sources & evidence

Editorial check: 17 October 2026. Product facts come from the following primary sources; planning checklists and examples are our explanations. No paid inference, model benchmark or regional checkout was run for this guide.