How AI is applied across API Evangelist and APIs.io. Read my AI disclosure →
API Evangelist API Evangelist
Discovery
Learnings
Guidance
Toolbox
Alignment
API Evangelist LLC
Discovery
Learnings
Guidance
Toolbox
Alignment
API Evangelist LLC

Need help?

Contact us
Edge Impulse

Edge Impulse Raw data API

The Raw data API from Edge Impulse — 54 operation(s) for raw data.

Documentation Provider Profile APIs.io OpenAPI GitHub

Edge Impulse Raw data API is one of 36 APIs that Edge Impulse publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

Tagged areas include Raw Data. The published artifact set on APIs.io includes an OpenAPI specification and API documentation.

This API exposes 56 operations across 54 paths, and defines 56 schemas. It is described by OpenAPI 3.2.0, at version 1.0.0.

Requests are made against a single base URL, https://studio.edgeimpulse.com/v1.

56 operations 54 paths 56 schemas 1 DELETE22 GET33 POST

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.2.0
API Version
1.0.0
Base URL
https://studio.edgeimpulse.com/v1
Authentication
API Key, API Key, API Key
Resource Areas
1

Authentication & Security 3

Edge Impulse Raw data API declares 3 security schemes for authenticating requests. An API key is passed in the header as x-api-key (ApiKeyAuthentication). An API key is passed in the cookie as jwt (JWTAuthentication). An API key is passed in the header as x-jwt-token (JWTHttpHeaderAuthentication). By default, every request must be authenticated.

Paths & Operations 56

Across 54 paths, the API surfaces 56 operations — 1 DELETE, 22 GET, 33 POST. Each is listed below with its method, path, parameters, and response codes.

Raw data 56
GET
/api/{projectId}/raw-data
List samples
listSamples 17 params → 200
GET
/api/{projectId}/raw-data/count
Count samples
countSamples 13 params → 200
GET
/api/{projectId}/raw-data/label-object-detection-queue
Object detection label queue
getObjectDetectionLabelQueue 1 param → 200
GET
/api/{projectId}/raw-data/label-object-detection-queue/count
Object detection label queue count
getObjectDetectionLabelQueueCount 1 param → 200
POST
/api/{projectId}/rebalance
Rebalance dataset
rebalanceDataset 1 param → 200
POST
/api/{projectId}/raw-data/clear-all-object-detection-labels
Clear all object detection labels
clearAllObjectDetectionLabels 1 param → 200
POST
/api/{projectId}/raw-data/delete-all
Remove all samples
deleteAllSamples 1 param → 200
POST
/api/{projectId}/raw-data/delete-all/{category}
Remove all samples by category
deleteAllSamplesByCategory 2 params → 200
GET
/api/{projectId}/raw-data/metadata
Get project sample metadata
getSampleMetadata 2 params → 200
GET
/api/{projectId}/raw-data/imported-from
List data with "imported from" metadata key
getAllImportedFrom 3 params → 200
GET
/api/{projectId}/raw-data/{sampleId}
Get sample
getSample 6 params → 200
DELETE
/api/{projectId}/raw-data/{sampleId}
Remove sample
deleteSample 2 params → 200
GET
/api/{projectId}/raw-data/{sampleId}/raw
Download file
getSampleAsRaw 2 params → 200
GET
/api/{projectId}/raw-data/{sampleId}/wav
Get WAV file
getSampleAsAudio 6 params → 200
GET
/api/{projectId}/raw-data/{sampleId}/image
Get image file
getSampleAsImage 5 params → 200
GET
/api/{projectId}/raw-data/{sampleId}/video
Get video file
getSampleAsVideo 5 params → 200
GET
/api/{projectId}/raw-data/{sampleId}/slice
Get sample slice
getSampleSlice 5 params → 200
POST
/api/{projectId}/raw-data/{sampleId}/rename
Rename sample
renameSample 2 params body → 200
POST
/api/{projectId}/raw-data/{sampleId}/edit-label
Edit label
editLabel 2 params body → 200
POST
/api/{projectId}/raw-data/{sampleId}/move
Move sample
moveSample 2 params body → 200
POST
/api/{projectId}/raw-data/{sampleId}/crop
Crop sample
cropSample 2 params body → 200
POST
/api/{projectId}/raw-data/{sampleId}/split
Split sample into frames
splitSampleInFrames 2 params body → 200
POST
/api/{projectId}/raw-data/{sampleId}/find-segments
Find segments
findSegmentsInSample 2 params body → 200
POST
/api/{projectId}/raw-data/{sampleId}/segment
Segment sample
segmentSample 2 params body → 200
POST
/api/{projectId}/raw-data/{sampleId}/bounding-boxes
Set bounding boxes
setSampleBoundingBoxes 2 params body → 200
POST
/api/{projectId}/raw-data/{sampleId}/structured-labels
Update structured labels
setSampleStructuredLabels 2 params body → 200
POST
/api/{projectId}/raw-data/store-segment-length
Store the last segment length
storeSegmentLength 1 param body → 200
GET
/api/{projectId}/raw-data/{sampleId}/original
Get the original downsampled data
getUncroppedDownsampledSample 6 params → 200
POST
/api/{projectId}/raw-data/{sampleId}/retry-processing
Retry processing
retryProcessing 2 params → 200
POST
/api/{projectId}/raw-data/{sampleId}/enable
Enable sample
enableSample 2 params → 200
POST
/api/{projectId}/raw-data/{sampleId}/disable
Disable sample
disableSample 2 params → 200
POST
/api/{projectId}/raw-data/{sampleId}/autolabel
Auto-label an image
classifyUsingAutolabel 2 params body → 200
POST
/api/{projectId}/raw-data/{sampleId}/metadata
Set sample metadata
setSampleMetadata 2 params body → 200
POST
/api/{projectId}/raw-data/{sampleId}/to-labeling-queue
Move sample to labeling queue
moveToLabelingQueue 2 params → 200
POST
/api/{projectId}/raw-data/{sampleId}/propose-changes
Propose changes
setSampleProposedChanges 2 params body → 200
POST
/api/{projectId}/raw-data/batch/edit-labels
Edit labels for multiple samples
batchEditLabels 15 params body → 200
POST
/api/{projectId}/raw-data/batch/delete
Remove multiple samples
batchDelete 15 params → 200
POST
/api/{projectId}/raw-data/batch/moveSamples
Move multiple samples
batchMove 15 params body → 200
POST
/api/{projectId}/raw-data/batch/enable-samples
Enable multiple samples
batchEnable 15 params → 200
POST
/api/{projectId}/raw-data/batch/disable-samples
Disable multiple samples
batchDisable 15 params → 200
POST
/api/{projectId}/raw-data/batch/add-metadata
Add metadata (multiple samples)
batchAddMetadata 15 params body → 200
POST
/api/{projectId}/raw-data/batch/clear-metadata-by-key
Clear metadata by key (multiple samples)
batchClearMetadataByKey 15 params body → 200
POST
/api/{projectId}/raw-data/batch/clear-metadata
Clear all metadata (multiple samples)
batchClearMetadata 15 params → 200
POST
/api/{projectId}/raw-data/track-objects
Track objects
trackObjects 1 param body → 200
GET
/api/{projectId}/raw-data/data-explorer/features
Get data explorer features
getDataExplorerFeatures 1 param → 200
GET
/api/{projectId}/raw-data/data-explorer/has-features
Check data explorer features
hasDataExplorerFeatures 1 param → 200
GET
/api/{projectId}/raw-data/data-explorer/predictions
Get data explorer predictions
getDataExplorerPredictions 1 param → 200
POST
/api/{projectId}/raw-data/data-explorer/clear
Clear data explorer
clearDataExplorer 1 param → 200
GET
/api/{projectId}/raw-data/data-explorer/settings
Get data explorer settings
getDataExplorerSettings 1 param → 200
POST
/api/{projectId}/raw-data/data-explorer/settings
Set data explorer settings
setDataExplorerSettings 1 param body → 200
POST
/api/{projectId}/raw-data/data-explorer/screenshot
Upload a data explorer screenshot
uploadDataExplorerScreenshot 1 param body → 200
GET
/api/{projectId}/raw-data/data-quality/diversity/exists
Check if data diversity metrics exist
hasDiversityData 1 param → 200
GET
/api/{projectId}/raw-data/data-quality/diversity
Get diversity metrics data
getDiversityData 1 param → 200
GET
/api/{projectId}/raw-data/data-quality/label-noise/exists
Check if label noise metrics exist
hasLabelNoiseData 1 param → 200
GET
/api/{projectId}/raw-data/data-quality/label-noise
Get label noise data
getLabelNoiseData 1 param → 200
GET
/api/{projectId}/raw-data/ai-actions-preview/{jobId}/proposed-changes
Get AI Actions proposed changes
getAIActionsProposedChanges 2 params → 200

Schemas 56

The contract defines 56 schemas that model the data the API accepts and returns. The most detailed are Sample (41 properties), ImpulseInputBlock (18 properties), ModelPrediction (8 properties), RawSamplePayload (6 properties). Each schema is shown below with its type and property counts.

SetSampleProposedChangesRequest
object
2 properties 2 required
CropSampleRequest
object
2 properties 2 required
HasDataExplorerFeaturesResponse
SampleProposedChanges
object
5 properties
GetDiversityDataResponse
TrackObjectsResponse
ObjectDetectionLabelQueueResponse
SegmentSampleRequest
object
1 property 1 required
DataExplorerPredictionsResponse
BoundingBox
object
This has the absolute values for x/y/w/h (so 0..x (where x is the w/h of the image))
5 properties 5 required
GetAllImportedFromResponse
Sensor
object
2 properties 2 required
BatchAddMetadataRequest
object
2 properties 2 required
GetAIActionsProposedChangesResponse
BatchClearMetadataByKeyRequest
object
1 property 1 required
ImpulseInputBlock
object
18 properties 5 required
GetSampleMetadataResponse
RebalanceDatasetResponse
CropSampleResponse
FindSegmentSampleRequest
object
2 properties 2 required
ProjectSampleMetadata
object
Project sample metadata
1 property 1 required
DatasetRatioData
object
1 property
GetDataExplorerSettingsResponse
CosineSimilarityData
object
Describes the results of running the cosine similarity label noise detection method.
2 properties 2 required
CrossValidationData
object
Describes the results of running the cross validation label noise detection method.
1 property 1 required
GetLabelNoiseDataResponse
StructuredLabel
object
A structured label contains a label, and the range for which this label is valid. endIndex is inclusive. E.g. { startIndex: 10, endIndex: 13, label: 'running'…
3 properties 3 required
SampleBoundingBoxesRequest
object
1 property 1 required
UploadImageRequest
object
1 property 1 required
StoreSegmentLengthRequest
object
1 property 1 required
NeighborsData
object
Describes the results of running the nearest neighbors label noise detection method.
2 properties 2 required
SplitSampleInFramesRequest
object
1 property
ObjectDetectionAutoLabelRequest
object
1 property 1 required
RawSamplePayload
object
Sensor readings and metadata
6 properties 3 required
ObjectDetectionAutoLabelResponse
EditSampleLabelRequest
object
1 property
GetDataExplorerFeaturesResponse
ModelPrediction
object
8 properties 4 required
GetSampleResponse
SetSampleMetadataRequest
object
1 property
ListSamplesResponse
NeighborsScore
object
Describes the label noise score and nearest neighbors for a single window of data in the project that shows a potential label noise issue.
6 properties 5 required
ObjectDetectionLabelQueueCountResponse
CountSamplesResponse
Sample
object
41 properties 25 required
MoveRawDataRequest
object
1 property 1 required
RawSampleData
object
3 properties 3 required
SampleMetadata
object
2 properties 2 required
FindSegmentSampleResponse
CosineSimilarityIssue
object
Describes a sample that has potential issues as identified by the cosine similarity label noise detection method.
4 properties 3 required
RenameSampleRequest
object
1 property 1 required
StartJobResponse
DataExplorerSettings
object
3 properties
GenericApiResponse
object
2 properties 1 required
SetSampleStructuredLabelsRequest
object
1 property 1 required
TrackObjectsRequest
object
2 properties 2 required

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

edge-impulse-raw-data-api-openapi.yml Raw ↑

Other APIs Edge Impulse publishes across the network.

Edge Impulse Admin API
AE Profile APIs.io
Edge Impulse Auth API
AE Profile APIs.io
Edge Impulse Canary API
AE Profile APIs.io
Edge Impulse CDN API
AE Profile APIs.io
Edge Impulse Classify API
AE Profile APIs.io
Edge Impulse Deployment API
AE Profile APIs.io
Edge Impulse Devices API
AE Profile APIs.io
Edge Impulse DSP API
AE Profile APIs.io
Edge Impulse EmailVerification API
AE Profile APIs.io
Edge Impulse Export API
AE Profile APIs.io
Edge Impulse FeatureFlags API
AE Profile APIs.io
Edge Impulse Health API
AE Profile APIs.io
#Raw Data
← Back to E APIs
API Details
ID
edge-impulse:edge-impulse-raw-data-api
Base URL
https://studio.edgeimpulse.com/v1
Docs
https://docs.edgeimpulse.com/reference/edge-impulse-api
Provider
Edge Impulse
APIs.io →  GitHub →
Explore more
All APIs Providers APIs.io Network
Work with this as data

Every API here is available over the API and to AI agents over MCP. APIs is not yet its own endpoint on the v1 API. Reach this content through network search and the tag graph, or the MCP server below.

Installs https://mcp.apievangelist.com/mcp in Claude, Cursor, VS Code and the rest — one button, every client.

MCP tools for apis
4 tools reach this content
  • search_api_evangelistSearch every content type across the network at once.
  • find_relatedThe shared-tag relevance graph — what else covers this.
  • get_tagEverything one tag labels, across all content types.
  • guide_topicPRO — a curated bundle for a topic: area, guidance, rules, papers, stories, services.
All tools & prompts
Call it yourself
curl for this page
Search the network for this 
curl "https://api.apievangelist.com/v1/search?q=edge-impulse-raw-data-api&limit=10"
Everything under a tag 
curl "https://api.apievangelist.com/v1/tags/edge-impulse-raw-data-api"

Discovery needs no key. Full bodies and the synthesis endpoints are Pro.

Get an API key

Free tier, no email required. Sign in with whichever identity you already have.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have. Your account

Where this information came from

This is an independent, third-party profile of Edge Impulse Raw data API, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.

The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.

Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.

info@apievangelist.com · Read the full data-sourcing policy →
On a security or compliance team? Put security in the subject line and you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.