Edge Impulse

Edge Impulse Classify API

The Classify API from Edge Impulse — 10 operation(s) for classify.

GitHub OpenAPI
Business capability
Artificial Intelligence Management BC-610.60

Operations 10

Each operation below carries the questions people ask an LLM about it and the instructions they give an agent to run it. Generated by API Evangelist overlay

GET /api/{projectId}/classify/{sampleId} Classify a sample (deprecated v1) · Classify sample (deprecated) #
Ask an LLM
“Is the old GET classify-sample endpoint still usable, or has it been deprecated?”
“Can the legacy v1 classifier return debug info for a whole file?”
Tell an agent
Classify sample {sampleId} with the deprecated v1 classify endpoint.
Use the legacy v1 classifier on sample {sampleId} in project {projectId} against impulse {impulseId}.
POST /api/{projectId}/classify/v2/{sampleId} Classify a sample against the impulse · Classify sample #
Ask an LLM
“How do I run my trained impulse over a complete sample file with a sliding window?”
“Can I classify a sample with a specific model variant, like the quantized one?”
Tell an agent
Classify sample {sampleId} in project {projectId} with the current impulse.
Classify sample {sampleId} using the {variant} model variant and include debug info.
POST /api/{projectId}/classify/v2/{sampleId}/variants Classify a sample across several model variants · Classify sample for the given set of variants #
Ask an LLM
“Can I compare how float32 and int8 variants classify the same sample in one call?”
“How do I classify one sample against multiple model variants at once?”
Tell an agent
Classify sample {sampleId} for the variants {variants}.
Run sample {sampleId} in project {projectId} through every variant in {variants} side by side.
GET /api/{projectId}/classify/v2/{sampleId}/raw-data/{windowIndex} Get cached raw features for a sample window · Get a window of raw sample features from cache, after a live classification job… #
Ask an LLM
“After live classification finishes, can I fetch the raw features of one window?”
“Which window of a classified sample can I pull from the feature cache?”
Tell an agent
Get cached raw features for window {windowIndex} of sample {sampleId}.
Pull window {windowIndex} of sample {sampleId} in project {projectId} from the classification cache.
GET /api/{projectId}/classify/all/result Get the full test-set classification result · Classify job result #
Ask an LLM
“Where do I see how my model performed across the whole testing dataset?”
“Can I fetch only the feature explorer data from the classify-all job?”
Tell an agent
Get the classify-all job result for project {projectId}.
Show the complete test-set results for the {variant} variant.
GET /api/{projectId}/classify/all/result/page Page through test-set predictions · Single page of a classify job result #
Ask an LLM
“How do I page through the predictions from a classify-all job?”
“Can I limit how many test-set predictions come back per page?”
Tell an agent
Get page of {limit} test predictions starting at {offset} for project {projectId}.
Fetch the next page of classify-all predictions from offset {offset}.
GET /api/{projectId}/classify/all/metrics Get test metrics for every model variant · Get metrics for all available model variants #
Ask an LLM
“What accuracy did each model variant reach in the last classify-all run?”
“Can I compare test metrics across all variants of my impulse?”
Tell an agent
Get classify-all metrics for every model variant in project {projectId}.
Compare test metrics for all variants of impulse {impulseId}.
GET /api/{projectId}/classify/anomaly-gmm/{blockId}/{sampleId} Classify a sample by learn block (deprecated v1) · Classify sample by learn block #
Ask an LLM
“Is the v1 anomaly GMM learn-block classify endpoint deprecated?”
“What did the older GET learn-block classifier return for a sample?”
Tell an agent
Classify sample {sampleId} against learn block {blockId} with the deprecated v1 endpoint.
Use the legacy v1 anomaly classifier for block {blockId} on sample {sampleId} in project {projectId}.
POST /api/{projectId}/classify/anomaly-gmm/v2/{blockId}/{sampleId} Classify a sample with one learn block · Classify sample by learn block #
Ask an LLM
“How do I run a single learn block, like the anomaly GMM, over a whole sample?”
“Can I score a sample against just one learn block instead of the full impulse?”
Tell an agent
Classify sample {sampleId} with learn block {blockId} in project {projectId}.
Run anomaly learn block {blockId} on sample {sampleId} using the {variant} variant.
POST /api/{projectId}/classify/image Classify an uploaded image · Classify an image #
Ask an LLM
“Can I test my trained image model by posting a photo directly?”
“How do I classify an image that isn't in my dataset?”
Tell an agent
Classify image {image} with the trained impulse in project {projectId}.
Test impulse {impulseId} on the image {image}.

Documentation

📖
Documentation
https://docs.edgeimpulse.com/reference/edge-impulse-api

Specifications

⚙
OpenAPI
https://raw.githubusercontent.com/api-evangelist/edge-impulse/refs/heads/main/openapi/edge-impulse-classify-api-openapi.yml

Other Resources

🔗
Overlay
https://raw.githubusercontent.com/api-evangelist/edge-impulse/refs/heads/main/overlays/edge-impulse-classify-overlay.yaml

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OpenAPI Specification

edge-impulse-classify-api-openapi.yml Raw ↑ 
openapi: 3.2.0
info:
  title: Edge Impulse Classify API
  version: 1.0.0
  description: 'Operations tagged Classify across 2 of this provider''s published API definitions: edge-impulse-openapi.yml, edge-impulse-studio-openapi-2026-09-06.yml. Each path carries the servers of the definition it was published in.'
servers:
- url: https://studio.edgeimpulse.com/v1
tags:


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# Full source: https://raw.githubusercontent.com/api-evangelist/edge-impulse/refs/heads/main/openapi/edge-impulse-classify-api-openapi.yml