Meshy API — verified animated-character pipeline (FALLBACK ONLY)

STOP — check the native CLI path first. If image_to_3d and 3d_rigging appear in higgsfield model list, do NOT use this raw API and do NOT ask the user for any API key. The native tool covers this entire pipeline with workspace credits: stage [1] = model image_to_3d (should_texture:true), stage [2] = enable_rigging:true (same job), stage [3] = one clip per job via enable_animation:true + animation_action_id (extra clips: model 3d_rigging on the result GLB; ids via higgsfield preset list animation-action), stage [4] = the same local merge script. This document exists only for environments with no native 3D tool.

Verified end-to-end 2026-06-10 (image → 3D → rig → 4 clips → merged GLB). Endpoint shapes re-checked against docs.meshy.ai 2026-06-11.

Before building ANY request, read meshy-input-rules.md (single-figure rule, cropping, low-poly params). Skipping it wastes credits.

Basics

• Base URL: https://api.meshy.ai
• Auth: Authorization: Bearer <msy_... key>. Require the user to configure it as MESHY_API_KEY outside chat; never print or commit it.
• All generation endpoints are async: POST returns {"result": "<task_id>"}, then poll GET <same path>/<task_id> until status is SUCCEEDED / FAILED / CANCELED. Poll every 10–15 s. SSE .../stream exists but plain polling is simpler in a sandbox.
• Result URLs expire (expires_at, ~3 days) — download assets immediately after SUCCEEDED.
• Credits: GET /openapi/v1/balance. Failed tasks are refunded (consumed_credits: 0 on FAILED).

Pipeline overview (humanoid)

input image ──> [1] image-to-3d ──> [2] rigging ──> [3] animations (xN) ──> [4] merge clips (validated)      static GLB         rigged GLB        1 GLB per clip          1 multi-clip GLB                                     + walk/run free                           (Blender CLI)

Cost observed: ~85 credits for a full character (image-to-3d + rig + 2 library animations). Each extra library animation ≈ 5 credits.

[1] Image → 3D

POST /openapi/v1/image-to-3d

{  "image_url": "<public URL or data URI>",  "pose_mode": "t-pose",  "should_remesh": true,  "topology": "triangle",  "target_polycount": 20000,  "should_texture": true,  "enable_pbr": false,  "target_formats": ["glb"],  "multi_view_thumbnails": true}

• pose_mode: "t-pose" straightens the character regardless of the reference pose — fixes "awkward" references before auto-rig.
• target_formats: ["glb"] — don't generate fbx/obj/usdz you won't use; task finishes faster.
• multi_view_thumbnails: true — 4 cardinal-view PNGs for vision QC without downloading the GLB (~3 s extra latency).
• Low-poly rules and polycount budgets: see meshy-input-rules.md.
• Multi-image variant: POST /openapi/v1/multi-image-to-3d (1–4 views, same pose on every view — see input rules).

text-to-3d note (two-phase) + stuck-refine recovery

text-to-3d is two tasks: preview (geometry, gray) then refine (texture, created with preview_task_id). Verified failure mode: a refine stuck at IN_PROGRESS progress: 0 for 1.5 h — a queue jam on Meshy's side.

Recovery recipe:

• refine with progress: 0 for longer than ~15 min ⇒ stuck forever.
• DELETE /openapi/v1/text-to-3d/<id> the stuck task, re-create with the same preview_task_id — re-ran in ~70 s. Credits for stuck/FAILED tasks are refunded.
• Never block the pipeline on texture: run rigging + animations on the preview (gray) mesh in parallel; swap in the textured mesh at the end with the same scripts.

[2] Rigging

POST /openapi/v1/rigging

{  "input_task_id": "<image-to-3d task id>",   // OR "model_url": "<public GLB url>"  "height_meters": 1.8}

• Returns task id; on SUCCEEDED the result has rigged_character_glb_url, rigged_character_fbx_url, and basic_animations — walking + running GLB/FBX for free, no separate animation tasks needed for those two.
• Humanoid only. Docs: "not suitable for non-humanoid assets". A quadruped/creature returns 422 — Pose estimation failed. Branch to Tripo3D or the procedural pipeline (procedural-animation.md). Nuance: Meshy's web app offers a 4-legs (quadruped) rig option, but the public API endpoint is humanoid-only — don't promise API quadruped support; suggest the web UI as a manual fallback for quadrupeds.
• Also rejected: untextured meshes, unclear limb structure, models > 300,000 faces (use POST /openapi/v1/remesh first).
• height_meters aids rig scaling — pass a sensible value (1.7–1.9 humans).

[3] Animations (library retarget)

POST /openapi/v1/animations

{  "rig_task_id": "<rigging task id>",  "action_id": 0}

• Library: ~680 mocap presets (locomotion, combat, deaths, dances, emotes). Catalog: https://api.meshy.ai/web/public/animations/resources (web endpoint, not under /openapi) and the Animation Library page in the docs. Used in the verified run: idle = action_id 0, attack = action_id 4. Don't trust ids from memory — fetch the catalog and match by name.
• All presets are biped mocap — they only fit humanoid rigs.
• Result: animation_glb_url — one GLB per clip, skinned, same skeleton as the rig task.
• Optional post_process: change_fps (24/25/30/60), fbx2usdz, extract_armature.

[4] Merge clips into one multi-clip GLB

Meshy gives N single-clip GLBs (walk/run from the rig + one per animation task). Preferred: stdlib merger, no Blender (verified on a live run 2026-06-11 — full pipeline cost 41 credits: text-to-3d + rig + 2 anims):

python3 scripts/glb_merge_anims.py \  rigged.glb walk.glb:Walk run.glb:Run idle.glb:Idle attack.glb:Attack out.glb

Blender alternative (same semantics):

blender -b -P scripts/merge_anim_glbs.py -- \  rigged.glb walk.glb:Walk run.glb:Run idle.glb:Idle attack.glb:Attack out.glb

Note: rigged.glb may carry a service clip named like Armature|clip0|baselayer (bind pose) — drop it from the merged file before delivery.

MANDATORY post-merge check — root-bone scale bug (verified): library animations can bake a scale factor into the root bone's scale channel. Observed: Hips scale 1.176 baked into idle while walk/run were 1.0 — the character visibly grew 18% when idle played. Fix (automated in the merge script): for every clip, if the root bone's scale min/max ≠ 1.0 — set scale keys to 1.0 AND divide that clip's root translation keys by the same factor (otherwise the character hovers above ground). Verify with scripts/glb_inspect.py — it prints per-clip root-scale ranges.

Finish with the standard checks: glb_inspect.py (skins ≥ 1, all clips present, alphaMode OPAQUE) and zip before higgsfield upload create (raw .glb is a blocked extension).

Polling skeleton (bash)

TASK=$(curl -s -X POST https://api.meshy.ai/openapi/v1/image-to-3d \  -H "Authorization: Bearer $MESHY_API_KEY" -H 'Content-Type: application/json' \  -d @payload.json | python3 -c 'import sys,json;print(json.load(sys.stdin)["result"])')while :; do  S=$(curl -s https://api.meshy.ai/openapi/v1/image-to-3d/$TASK \    -H "Authorization: Bearer $MESHY_API_KEY")  ST=$(echo "$S" | python3 -c 'import sys,json;d=json.load(sys.stdin);print(d["status"],d["progress"])')  echo "$ST"; case "$ST" in SUCCEEDED*|FAILED*|CANCELED*) break;; esac  sleep 12done

Error cheat-sheet