Meshy Print Analyze API Documentation
Playground
Try it on WaveSpeedAI!Meshy Printability Analysis checks whether a 3D model is ready to 3D print and reports the issues it finds. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Meshy Print Analyze examines a 3D model for geometry issues that may affect 3D printing. It reports printability measurements such as watertightness, holes, non-manifold edges, degenerate faces, and volume, with optional wall-thickness evaluation based on the intended printer and print size.
Why Choose This?
- Geometry analysis — Check watertightness, holes, non-manifold edges, degenerate faces, and model volume.
- Wall-thickness evaluation — Evaluate thin areas based on the intended printer and print size.
- Printability report — Review issue counts, measurements, and overall printability status.
- Non-destructive analysis — Inspect the model without modifying its geometry.
Parameters
| Parameter | Required | Description |
|---|---|---|
| model | Yes | Source 3D model in GLB, GLTF, FBX, OBJ, or STL format. |
| printer_type | No | Printer type used to determine the minimum wall-thickness threshold. Options: fdm, sla, or full_color. |
| intended_print_height_mm | No | Intended print height in millimeters for wall-thickness evaluation. Supported for GLB inputs. |
How to Use
- Upload a model — Provide the 3D file you want to analyze.
- Set print options optional — Select a printer type and intended print height when wall-thickness evaluation is needed.
- Submit — Run the printability analysis.
- Review the report — Check geometry measurements, issue counts, and wall-thickness results.
Pricing
$0.04 per model.
Printer type and intended print height do not add separate charges.
Best Use Cases
- Pre-print validation — Check a model before sending it to a slicer or printer.
- Topology inspection — Identify holes, non-manifold edges, and degenerate faces.
- Watertightness checks — Verify whether a mesh is closed.
- Wall-thickness review — Find areas that may be too thin for the intended printing process.
- Repair planning — Identify issues before using a mesh repair workflow.
Pro Tips
- Run an analysis before repairing a model to understand which issues need attention.
- Select the intended printer type when wall thickness is important.
- Use
intended_print_height_mmwhen analyzing a GLB model at a specific planned print size. - Review both issue counts and raw geometry measurements before deciding whether repair is necessary.
Notes
- This operation analyzes the model and does not modify, repair, or resize it.
- The report can include watertightness, volume, holes, non-manifold edges, and degenerate faces.
- Wall-thickness results are included when wall-thickness evaluation is requested.
intended_print_height_mmis supported for GLB inputs.- The intended print height is used for analysis and does not resize the source model.
- Use the analysis results to determine whether additional repair or print preparation is needed.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"model": "example",
"printer_type": "fdm"
}
JSON
)
# 1. Submit the prediction once. Never retry this request automatically:
# a retry after an unclear failure can create a second, billed task.
CHECK='The task may already exist. Check History or the predictions list before submitting again.'
if ! SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
--connect-timeout 10 --max-time 60 \
-X POST "https://api.wavespeed.ai/api/v3/meshy/print/analyze" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}"); then
printf 'Submit failed. %s\n' "${CHECK}" >&2
exit 1
fi
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id. %s\n' "${CHECK}" >&2
exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"
# 2. Poll until the prediction reaches a final status.
BODY_FILE=$(mktemp)
trap 'rm -f "${BODY_FILE}"' EXIT
while true; do
# Transient errors (429, 5xx) are retried, honoring Retry-After.
HTTP_CODE=$(curl --silent --show-error --fail-with-body \
--connect-timeout 10 --max-time 60 --retry 5 --retry-delay 2 \
--output "${BODY_FILE}" --write-out '%{http_code}' \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" || true)
case "${HTTP_CODE}" in
2??) ;;
000|429|5??) # dropped connection or temporary error: keep polling
printf 'Task %s: HTTP %s, polling again in 10s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
sleep 10; continue ;;
*) printf 'Task %s: HTTP %s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
cat "${BODY_FILE}" >&2; exit 1 ;;
esac
RESULT=$(jq 'if type == "object" and has("data") then .data else . end' "${BODY_FILE}")
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted)
printf 'Task %s ended with status %s\n' "${PREDICTION_ID}" "${STATUS}" >&2
printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneRetry temporary errors only while polling, never the submit request. Errors, retries and timeouts
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| model | string | Yes | - | - | The 3D model to process (GLB, GLTF, FBX, OBJ or STL). |
| printer_type | string | No | - | fdm, sla, full_color | Printer type that sets the minimum wall thickness. |
| intended_print_height_mm | number | No | - | - | Planned print height in millimeters, for the wall-thickness check (GLB only). |
Every model also accepts the global request options enable_sync_mode and enable_base64_output; see their pages for details.
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.status | string | Task status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses. |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.status | string | Status: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |