Returns a catalog of available generation models, grouped by category (text-to-image, image-to-video, lipsync, text-to-speech, …). Use the optional query parameter to filter to a single category or keyword.
This is the REST equivalent of the MCP search_tools tool. Both wrap the
catalog source used by MCP, so the response shape is consistent across public
interfaces.
Authorizations
string
required
Bearer API key. Format: Bearer gx_your_api_key.
Query parameters
string
Optional category or keyword filter. Examples: image (all image categories),
video, text-to-speech, lipsync, transcription, music-generation,
sound-effects, image-to-video (animate stills). Omit to receive the full
catalog.
Response
object
Map keyed by category (e.g. text-to-image). Each entry holds the list of
models in that category. Present whenever the query matches at least one
category — i.e. not present on noMatch responses.
object
Map keyed by category, value is one of GENERATE (creates a new asset from
text — text-to-image, text-to-video, TTS), EDIT (modifies an existing asset
— image-to-image, voice-changing, upscalers), TRANSFORM (converts across
media types — image-to-video, lipsync, audio-translation), or TRANSCRIBE /
UNDERSTAND (transcription, multimodal LLM analysis).
string
Long-form usage guidance — primarily written for LLM consumers but useful as a
reminder for human readers. Documents the typical workflow: search →
model-schema → pricing → estimate → run.
string
Optional suggestion (e.g. “Use a query to filter…”). Present when no query
was supplied.
string
Present only when query was supplied but matched no categories. Replaces
modelCatalog in that case.
object
Returned alongside noMatch. Map of role → list of category keywords you
could try instead.
Request
cURL
Node.js
Python
# All categoriescurl https://inference.magica.com/v1/models/search \ -H "Authorization: Bearer $MAGICA_API_KEY"# Filtered to text-to-speech models onlycurl 'https://inference.magica.com/v1/models/search?query=text-to-speech' \ -H "Authorization: Bearer $MAGICA_API_KEY"
const res = await fetch( "https://inference.magica.com/v1/models/search?query=image-to-video", { headers: { Authorization: `Bearer ${process.env.MAGICA_API_KEY}` } },);const payload = await res.json();if (payload.noMatch) { console.warn(payload.noMatch);} else { // List every modelId in every category const modelIds = Object.values(payload.modelCatalog).flatMap( (entries) => entries.map((e) => e.modelId), ); console.log(modelIds);}
import os, requestsres = requests.get( "https://inference.magica.com/v1/models/search", params={"query": "lipsync"}, headers={"Authorization": f"Bearer {os.environ['MAGICA_API_KEY']}"},)payload = res.json()if "noMatch" in payload: print(payload["noMatch"])else: for category, models in payload["modelCatalog"].items(): role = payload["categoryRoles"].get(category) print(f"{category} ({role}):", [m["modelId"] for m in models])
Response example — success
{ "modelCatalog": { "text-to-image": [ { "modelId": "gpt-image-2-text", "name": "GPT Image 2" }, { "modelId": "nano-banana-2-text", "name": "Nano Banana 2 — Text to Image" } ], "image-to-image": [ { "modelId": "nano-banana-pro-edit", "name": "Nano Banana Pro — Edit" } ] }, "categoryRoles": { "text-to-image": "GENERATE", "image-to-image": "EDIT" }, "usage": "Categories in `modelCatalog` are labelled in `categoryRoles` with one of: GENERATE / EDIT / TRANSFORM / TRANSCRIBE…"}
Response example — no match
{ "noMatch": "No models matching \"hologram\". Try category keywords: image, video, audio, text-to-image, image-to-image, image-to-video, video-to-video, lipsync, text-to-speech, music-generation, sound-effects, voice-changing, transcription.", "categoryRoleHints": { "GENERATE": [ "text-to-image", "text-to-video", "text-to-speech", "music-generation", "sound-effects" ], "EDIT": ["image-to-image", "video-to-video", "voice-changing", "upscaler"], "TRANSFORM": ["image-to-video", "lipsync", "audio-translation"] }, "usage": "Categories in `modelCatalog` are labelled in `categoryRoles` with one of: GENERATE / EDIT / TRANSFORM / TRANSCRIBE…"}
The HTTP status is 200 in both cases — always check for noMatch before consuming modelCatalog.
Typical workflow
The former visual-workflow helpers (text_selector, text_concatenator,
text_router, image_router, audio_router, and video_router) are retired.
They are not listed in the catalog and node-run requests for them return 404.
Use application code for text joining or selecting an item from a list.
1
Search
GET /v1/models/search?query=<category> — get the list of modelIds in that category.
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