Meshy Print Analyze API Documentation

Meshy Print Analyze API Documentation

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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

ParameterRequiredDescription
modelYesSource 3D model in GLB, GLTF, FBX, OBJ, or STL format.
printer_typeNoPrinter type used to determine the minimum wall-thickness threshold. Options: fdm, sla, or full_color.
intended_print_height_mmNoIntended print height in millimeters for wall-thickness evaluation. Supported for GLB inputs.

How to Use

  1. Upload a model — Provide the 3D file you want to analyze.
  2. Set print options optional — Select a printer type and intended print height when wall-thickness evaluation is needed.
  3. Submit — Run the printability analysis.
  4. 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_mm when 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_mm is 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
done

Retry temporary errors only while polling, never the submit request. Errors, retries and timeouts

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
modelstringYes--The 3D model to process (GLB, GLTF, FBX, OBJ or STL).
printer_typestringNo-fdm, sla, full_colorPrinter type that sets the minimum wall thickness.
intended_print_height_mmnumberNo--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

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.statusstringTask status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses.
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<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.urlsobjectObject containing related API endpoints
data.statusstringStatus: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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