Access Tokens
Access Rules
Queries
Apps
Attributes
Authentication
- POSTAuthenticate a user based on a Stytch session token (B2B version)
- POSTRegister a user based on a Stytch session token (B2B)
- POSTReport whether the user associatd to a Stytch OAuth or Magic Links token has been fully registered on Narrative side (B2B)
- POSTAuthenticate a user based on a Stytch session token
- POSTRegister a user based on a Stytch session token
- POSTReport whether the user associatd to a Stytch OAuth or Magic Links token has been fully registered on Narrative side
Connections
Datasets
- GETGet datasets
- PUTUpdate a dataset
- POSTCreate a dataset
- GETGet a dataset
- PUTUpdate a dataset
- DELDelete a dataset
- PUTActivate a dataset
- POSTActivate a datasetdeprecated
- POSTTruncate a dataset
- GETSample a dataset
- DELDelete a sample
- GETGet admin info for a dataset
- GETSample a dataset (Admin)
- POSTUpdate a dataset's partition spec
- POSTPreview snapshot expirations
- PUTUpsert retention policies for a dataset
- POSTRequest Dataset Sample
- GETSampled Mappings
- POSTSuggest mappings
- GETGet dataset statistics
- GETGet detailed statistics
- PUTCreate or Update detailed statistics
- POSTSubmit recalculation
- POSTIngest a file
- GETFiles added
- GETFind snapshots
- GETMetrics
- GETMetrics
- GETGet Metrics Configuration
- PUTPut Metrics Configuration
- DELDisable configuration
- PUTDerive the configuration
- POSTEnable configuration
- GETFind files
- POSTIssue file download url
- PUTUpdate the materialized view refresh configuration
- POSTCreate a refresh schedule for an existing materialized view
- DELArchive the materialized view refresh configuration
- POSTRun a materialized view refresh now
Subscriptions
- GETGet subscriptions
- POSTCreate a subscription
- GETGet cost forecasts
- POSTCreate a cost forecast
- GETGet a cost forecast
- POSTGet matches
- GETGet a subscription
- PUTUpdate a subscription
- DELDelete a subscription
- POSTActivate a subscription
- POSTCancel a subscription
- POSTCheckout a subscription
- GETGet subscription cost forecasts
- POSTCreate a cost forecast for a subscription
- GETGet deliveries
- POSTGet a delivered file
- GETGet subscription matches
- GETGet schema
Data Shops
Data Streams
- POSTCreate a data-stream.
- GETGet a data-stream by its id.
- PUTUpdate a data-stream.
- POSTFetch many data-streams
- GETGet all data-streams for a company.
- GETGet all data-streams for a company given a search expression.
- GETGets the data-stream for a given company and slug.
- GETGet schema
- GETGet all data-streams for the given company and its data-shop hostname.
- GETFind data-streams for the given company and its data-shop hostname and the given search expression.
- GETGet all data-streams for a company given a sales channel
- GETFind data-streams for the given company and a sales-channel and the given search expression.
- GETFind data-streams available on the data-streams-market.
Encryption Materials
Schema Inference
Installations
Profiles
Company
Company Marketing Information
Mappings
Model Inference
Payment Methods
Schema Presets
Uploads
Destinations
Products
Permissions
Contracts
Whoami
Webhooks
Update a data-stream.
Copy
curl --request PUT \
--url https://api-dev.narrative.io/data-stream/{data_stream_id} \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"id": "f94e8803-fc03-4c3e-a3fc-c3ffe3993788",
"company_id": 100,
"name": "best data stream name",
"slug": "this-is-a-slug",
"content": {
"description": "Fabulous Data Stream even better than anything out there!",
"icon": "https://some.icon.png",
"sections": [
{
"title": "some title",
"description": "some description",
"image": "some-image"
},
{
"whatever": "whatever json structure FE would like to have here.",
"free_form": "json here"
}
]
},
"tags": [
"tag1",
"tag2"
],
"category": "categoryA",
"offers": [
{
"id": "16310512-a8fb-4ce8-aec3-573693067df9",
"channel": "data_streams_market",
"licensing": {
"period": "P90D",
"license": {
"name": "narrative opendata license"
}
},
"pricing": {
"type": "per_record",
"micro_cents_usd": 70000
},
"shops": null
},
{
"id": "d7542ec5-558f-4e98-9ff6-e049b24798fa",
"channel": "data_shop",
"licensing": {
"period": "P90D",
"license": {
"name": "narrative opendata license"
}
},
"pricing": {
"type": "per_record",
"micro_cents_usd": 50000
},
"shops": null
},
{
"id": "5d52d8d8-b683-4ef4-9220-31347dc2237f",
"channel": "data_shop",
"licensing": {
"period": "P90D",
"license": {
"name": "narrative opendata license"
}
},
"pricing": {
"type": "max_price_per_record",
"micro_cents_usd": 30000
},
"shops": [
"only.on.tld.com"
]
}
],
"data_rules": {
"column_sets": [
{
"dataset_id": 99999,
"fields": [
{
"field": "col1",
"filter": null,
"exported": true
},
{
"field": "col2",
"filter": "include_all_values_including_nulls_filter",
"exported": true
},
{
"field": "col3",
"filter": "include_only_if_not_null_filter",
"exported": true
},
{
"field": "col4",
"filter": {
"type": "include",
"list": [
"this",
"that",
"that too",
"some more"
]
},
"exported": true
},
{
"field": "col5",
"filter": {
"type": "exclude",
"list": [
"this",
"that",
"that too",
"some more"
]
},
"exported": true
},
{
"field": "col6",
"filter": {
"min": {
"type": "inclusive",
"value": "-100"
},
"max": {
"type": "inclusive",
"value": "100"
}
},
"exported": true
},
{
"field": "col6",
"filter": {
"min": null,
"max": {
"type": "exclusive",
"value": "timestamp01"
}
},
"exported": false
},
{
"field": "col7",
"filter": {
"type": "include",
"list": [
"true"
]
},
"exported": true
},
{
"field": "col8",
"filter": {
"recency": "P30D",
"from": null,
"to": {
"type": "exclusive",
"value": "timestamp01"
}
},
"exported": true
}
]
}
],
"attributes": [
{
"attribute_id": 123,
"fields": [
{
"field": "col1",
"filter": null,
"exported": true
},
{
"field": "col2",
"filter": "include_all_values_including_nulls_filter",
"exported": true
},
{
"field": "col3",
"filter": "include_only_if_not_null_filter",
"exported": true
},
{
"field": "col4",
"filter": {
"type": "include",
"list": [
"this",
"that",
"that too",
"some more"
]
},
"exported": true
},
{
"field": "col5",
"filter": {
"type": "exclude",
"list": [
"this",
"that",
"that too",
"some more"
]
},
"exported": true
},
{
"field": "col6",
"filter": {
"min": {
"type": "inclusive",
"value": "-100"
},
"max": {
"type": "inclusive",
"value": "100"
}
},
"exported": true
},
{
"field": "col6",
"filter": {
"min": null,
"max": {
"type": "exclusive",
"value": "timestamp01"
}
},
"exported": false
},
{
"field": "col7",
"filter": {
"type": "include",
"list": [
"true"
]
},
"exported": true
},
{
"field": "col8",
"filter": {
"recency": "P30D",
"from": null,
"to": {
"type": "exclusive",
"value": "timestamp01"
}
},
"exported": true
},
{
"field": "col9",
"filter": {
"expressions": [
"col9 > -90",
"col9 < 90"
]
},
"exported": true
}
],
"optional": true
},
{
"attribute_id": 321,
"fields": [
{
"field": "col9",
"filter": {
"expressions": [
"col9 > -90",
"col9 < 90"
]
},
"exported": false
}
],
"optional": false
}
],
"deduplication": {
"period": "P60D",
"column_references": null,
"attribute_references": [
{
"attribute_id": 123,
"column_names": [
"col9",
"col9.foo.bar"
]
}
]
},
"frequency_filter": {
"column_references": null,
"attribute_references": [
{
"attribute_id": 123,
"column_names": [
"col9.foo.bar"
]
}
],
"min_inclusive": 2,
"max_inclusive": 5
}
},
"auth_rules": {
"company_constraint": {
"type": "inclusion",
"company_ids": [
160,
1701
]
}
},
"created_by": 5000,
"created_at": "2021-06-29T10:58:36.726Z",
"updated_at": "2021-06-29T10:58:36.726Z",
"datasets": null
}
'Copy
{
"id": "f94e8803-fc03-4c3e-a3fc-c3ffe3993788",
"company_id": 100,
"name": "best data stream name",
"slug": "this-is-a-slug",
"content": {
"description": "Fabulous Data Stream even better than anything out there!",
"icon": "https://some.icon.png",
"sections": [
{
"title": "some title",
"description": "some description",
"image": "some-image"
},
{
"whatever": "whatever json structure FE would like to have here.",
"free_form": "json here"
}
]
},
"tags": [
"tag1",
"tag2"
],
"category": "categoryA",
"offers": [
{
"id": "16310512-a8fb-4ce8-aec3-573693067df9",
"channel": "data_streams_market",
"licensing": {
"period": "P90D",
"license": {
"name": "narrative opendata license"
}
},
"pricing": {
"type": "per_record",
"micro_cents_usd": 70000
},
"shops": null
},
{
"id": "d7542ec5-558f-4e98-9ff6-e049b24798fa",
"channel": "data_shop",
"licensing": {
"period": "P90D",
"license": {
"name": "narrative opendata license"
}
},
"pricing": {
"type": "per_record",
"micro_cents_usd": 50000
},
"shops": null
},
{
"id": "5d52d8d8-b683-4ef4-9220-31347dc2237f",
"channel": "data_shop",
"licensing": {
"period": "P90D",
"license": {
"name": "narrative opendata license"
}
},
"pricing": {
"type": "max_price_per_record",
"micro_cents_usd": 30000
},
"shops": [
"only.on.tld.com"
]
}
],
"data_rules": {
"column_sets": [
{
"dataset_id": 99999,
"fields": [
{
"field": "col1",
"filter": null,
"exported": true
},
{
"field": "col2",
"filter": "include_all_values_including_nulls_filter",
"exported": true
},
{
"field": "col3",
"filter": "include_only_if_not_null_filter",
"exported": true
},
{
"field": "col4",
"filter": {
"type": "include",
"list": [
"this",
"that",
"that too",
"some more"
]
},
"exported": true
},
{
"field": "col5",
"filter": {
"type": "exclude",
"list": [
"this",
"that",
"that too",
"some more"
]
},
"exported": true
},
{
"field": "col6",
"filter": {
"min": {
"type": "inclusive",
"value": "-100"
},
"max": {
"type": "inclusive",
"value": "100"
}
},
"exported": true
},
{
"field": "col6",
"filter": {
"min": null,
"max": {
"type": "exclusive",
"value": "timestamp01"
}
},
"exported": false
},
{
"field": "col7",
"filter": {
"type": "include",
"list": [
"true"
]
},
"exported": true
},
{
"field": "col8",
"filter": {
"recency": "P30D",
"from": null,
"to": {
"type": "exclusive",
"value": "timestamp01"
}
},
"exported": true
}
]
}
],
"attributes": [
{
"attribute_id": 123,
"fields": [
{
"field": "col1",
"filter": null,
"exported": true
},
{
"field": "col2",
"filter": "include_all_values_including_nulls_filter",
"exported": true
},
{
"field": "col3",
"filter": "include_only_if_not_null_filter",
"exported": true
},
{
"field": "col4",
"filter": {
"type": "include",
"list": [
"this",
"that",
"that too",
"some more"
]
},
"exported": true
},
{
"field": "col5",
"filter": {
"type": "exclude",
"list": [
"this",
"that",
"that too",
"some more"
]
},
"exported": true
},
{
"field": "col6",
"filter": {
"min": {
"type": "inclusive",
"value": "-100"
},
"max": {
"type": "inclusive",
"value": "100"
}
},
"exported": true
},
{
"field": "col6",
"filter": {
"min": null,
"max": {
"type": "exclusive",
"value": "timestamp01"
}
},
"exported": false
},
{
"field": "col7",
"filter": {
"type": "include",
"list": [
"true"
]
},
"exported": true
},
{
"field": "col8",
"filter": {
"recency": "P30D",
"from": null,
"to": {
"type": "exclusive",
"value": "timestamp01"
}
},
"exported": true
},
{
"field": "col9",
"filter": {
"expressions": [
"col9 > -90",
"col9 < 90"
]
},
"exported": true
}
],
"optional": true
},
{
"attribute_id": 321,
"fields": [
{
"field": "col9",
"filter": {
"expressions": [
"col9 > -90",
"col9 < 90"
]
},
"exported": false
}
],
"optional": false
}
],
"deduplication": {
"period": "P60D",
"column_references": null,
"attribute_references": [
{
"attribute_id": 123,
"column_names": [
"col9",
"col9.foo.bar"
]
}
]
},
"frequency_filter": {
"column_references": null,
"attribute_references": [
{
"attribute_id": 123,
"column_names": [
"col9.foo.bar"
]
}
],
"min_inclusive": 2,
"max_inclusive": 5
}
},
"auth_rules": {
"company_constraint": {
"type": "inclusion",
"company_ids": [
160,
1701
]
}
},
"created_by": 5000,
"created_at": "2021-06-29T10:58:36.726Z",
"updated_at": "2021-06-29T10:58:36.726Z",
"datasets": null
}Data Streams
Update a data-stream.
Update a new data-stream.
The main idea: get a data-stream document/resource, after creation or accessing by id, then update the document and PUT it as it is.
Of course certain things aren’t updateable and are ignored, for instance identifiers already established (like DS id) and metadata like creation/update dates and who created/updated the entity.
Things that can be updated
- name
- slug
- content
- tags
- category
- offers
- data_rules
- auth_rules
Note: nested structures like content etc. are changed as complete structures, hence care needs to be taken to include unchanged data at as the same time as the data being changed so as not to over-write the rest of it.
Any validations applicable on creation time also apply on updates.
Only a user belonging to the company can update a data-stream.
PUT
/
data-stream
/
{data_stream_id}
Update a data-stream.
Copy
curl --request PUT \
--url https://api-dev.narrative.io/data-stream/{data_stream_id} \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"id": "f94e8803-fc03-4c3e-a3fc-c3ffe3993788",
"company_id": 100,
"name": "best data stream name",
"slug": "this-is-a-slug",
"content": {
"description": "Fabulous Data Stream even better than anything out there!",
"icon": "https://some.icon.png",
"sections": [
{
"title": "some title",
"description": "some description",
"image": "some-image"
},
{
"whatever": "whatever json structure FE would like to have here.",
"free_form": "json here"
}
]
},
"tags": [
"tag1",
"tag2"
],
"category": "categoryA",
"offers": [
{
"id": "16310512-a8fb-4ce8-aec3-573693067df9",
"channel": "data_streams_market",
"licensing": {
"period": "P90D",
"license": {
"name": "narrative opendata license"
}
},
"pricing": {
"type": "per_record",
"micro_cents_usd": 70000
},
"shops": null
},
{
"id": "d7542ec5-558f-4e98-9ff6-e049b24798fa",
"channel": "data_shop",
"licensing": {
"period": "P90D",
"license": {
"name": "narrative opendata license"
}
},
"pricing": {
"type": "per_record",
"micro_cents_usd": 50000
},
"shops": null
},
{
"id": "5d52d8d8-b683-4ef4-9220-31347dc2237f",
"channel": "data_shop",
"licensing": {
"period": "P90D",
"license": {
"name": "narrative opendata license"
}
},
"pricing": {
"type": "max_price_per_record",
"micro_cents_usd": 30000
},
"shops": [
"only.on.tld.com"
]
}
],
"data_rules": {
"column_sets": [
{
"dataset_id": 99999,
"fields": [
{
"field": "col1",
"filter": null,
"exported": true
},
{
"field": "col2",
"filter": "include_all_values_including_nulls_filter",
"exported": true
},
{
"field": "col3",
"filter": "include_only_if_not_null_filter",
"exported": true
},
{
"field": "col4",
"filter": {
"type": "include",
"list": [
"this",
"that",
"that too",
"some more"
]
},
"exported": true
},
{
"field": "col5",
"filter": {
"type": "exclude",
"list": [
"this",
"that",
"that too",
"some more"
]
},
"exported": true
},
{
"field": "col6",
"filter": {
"min": {
"type": "inclusive",
"value": "-100"
},
"max": {
"type": "inclusive",
"value": "100"
}
},
"exported": true
},
{
"field": "col6",
"filter": {
"min": null,
"max": {
"type": "exclusive",
"value": "timestamp01"
}
},
"exported": false
},
{
"field": "col7",
"filter": {
"type": "include",
"list": [
"true"
]
},
"exported": true
},
{
"field": "col8",
"filter": {
"recency": "P30D",
"from": null,
"to": {
"type": "exclusive",
"value": "timestamp01"
}
},
"exported": true
}
]
}
],
"attributes": [
{
"attribute_id": 123,
"fields": [
{
"field": "col1",
"filter": null,
"exported": true
},
{
"field": "col2",
"filter": "include_all_values_including_nulls_filter",
"exported": true
},
{
"field": "col3",
"filter": "include_only_if_not_null_filter",
"exported": true
},
{
"field": "col4",
"filter": {
"type": "include",
"list": [
"this",
"that",
"that too",
"some more"
]
},
"exported": true
},
{
"field": "col5",
"filter": {
"type": "exclude",
"list": [
"this",
"that",
"that too",
"some more"
]
},
"exported": true
},
{
"field": "col6",
"filter": {
"min": {
"type": "inclusive",
"value": "-100"
},
"max": {
"type": "inclusive",
"value": "100"
}
},
"exported": true
},
{
"field": "col6",
"filter": {
"min": null,
"max": {
"type": "exclusive",
"value": "timestamp01"
}
},
"exported": false
},
{
"field": "col7",
"filter": {
"type": "include",
"list": [
"true"
]
},
"exported": true
},
{
"field": "col8",
"filter": {
"recency": "P30D",
"from": null,
"to": {
"type": "exclusive",
"value": "timestamp01"
}
},
"exported": true
},
{
"field": "col9",
"filter": {
"expressions": [
"col9 > -90",
"col9 < 90"
]
},
"exported": true
}
],
"optional": true
},
{
"attribute_id": 321,
"fields": [
{
"field": "col9",
"filter": {
"expressions": [
"col9 > -90",
"col9 < 90"
]
},
"exported": false
}
],
"optional": false
}
],
"deduplication": {
"period": "P60D",
"column_references": null,
"attribute_references": [
{
"attribute_id": 123,
"column_names": [
"col9",
"col9.foo.bar"
]
}
]
},
"frequency_filter": {
"column_references": null,
"attribute_references": [
{
"attribute_id": 123,
"column_names": [
"col9.foo.bar"
]
}
],
"min_inclusive": 2,
"max_inclusive": 5
}
},
"auth_rules": {
"company_constraint": {
"type": "inclusion",
"company_ids": [
160,
1701
]
}
},
"created_by": 5000,
"created_at": "2021-06-29T10:58:36.726Z",
"updated_at": "2021-06-29T10:58:36.726Z",
"datasets": null
}
'Copy
{
"id": "f94e8803-fc03-4c3e-a3fc-c3ffe3993788",
"company_id": 100,
"name": "best data stream name",
"slug": "this-is-a-slug",
"content": {
"description": "Fabulous Data Stream even better than anything out there!",
"icon": "https://some.icon.png",
"sections": [
{
"title": "some title",
"description": "some description",
"image": "some-image"
},
{
"whatever": "whatever json structure FE would like to have here.",
"free_form": "json here"
}
]
},
"tags": [
"tag1",
"tag2"
],
"category": "categoryA",
"offers": [
{
"id": "16310512-a8fb-4ce8-aec3-573693067df9",
"channel": "data_streams_market",
"licensing": {
"period": "P90D",
"license": {
"name": "narrative opendata license"
}
},
"pricing": {
"type": "per_record",
"micro_cents_usd": 70000
},
"shops": null
},
{
"id": "d7542ec5-558f-4e98-9ff6-e049b24798fa",
"channel": "data_shop",
"licensing": {
"period": "P90D",
"license": {
"name": "narrative opendata license"
}
},
"pricing": {
"type": "per_record",
"micro_cents_usd": 50000
},
"shops": null
},
{
"id": "5d52d8d8-b683-4ef4-9220-31347dc2237f",
"channel": "data_shop",
"licensing": {
"period": "P90D",
"license": {
"name": "narrative opendata license"
}
},
"pricing": {
"type": "max_price_per_record",
"micro_cents_usd": 30000
},
"shops": [
"only.on.tld.com"
]
}
],
"data_rules": {
"column_sets": [
{
"dataset_id": 99999,
"fields": [
{
"field": "col1",
"filter": null,
"exported": true
},
{
"field": "col2",
"filter": "include_all_values_including_nulls_filter",
"exported": true
},
{
"field": "col3",
"filter": "include_only_if_not_null_filter",
"exported": true
},
{
"field": "col4",
"filter": {
"type": "include",
"list": [
"this",
"that",
"that too",
"some more"
]
},
"exported": true
},
{
"field": "col5",
"filter": {
"type": "exclude",
"list": [
"this",
"that",
"that too",
"some more"
]
},
"exported": true
},
{
"field": "col6",
"filter": {
"min": {
"type": "inclusive",
"value": "-100"
},
"max": {
"type": "inclusive",
"value": "100"
}
},
"exported": true
},
{
"field": "col6",
"filter": {
"min": null,
"max": {
"type": "exclusive",
"value": "timestamp01"
}
},
"exported": false
},
{
"field": "col7",
"filter": {
"type": "include",
"list": [
"true"
]
},
"exported": true
},
{
"field": "col8",
"filter": {
"recency": "P30D",
"from": null,
"to": {
"type": "exclusive",
"value": "timestamp01"
}
},
"exported": true
}
]
}
],
"attributes": [
{
"attribute_id": 123,
"fields": [
{
"field": "col1",
"filter": null,
"exported": true
},
{
"field": "col2",
"filter": "include_all_values_including_nulls_filter",
"exported": true
},
{
"field": "col3",
"filter": "include_only_if_not_null_filter",
"exported": true
},
{
"field": "col4",
"filter": {
"type": "include",
"list": [
"this",
"that",
"that too",
"some more"
]
},
"exported": true
},
{
"field": "col5",
"filter": {
"type": "exclude",
"list": [
"this",
"that",
"that too",
"some more"
]
},
"exported": true
},
{
"field": "col6",
"filter": {
"min": {
"type": "inclusive",
"value": "-100"
},
"max": {
"type": "inclusive",
"value": "100"
}
},
"exported": true
},
{
"field": "col6",
"filter": {
"min": null,
"max": {
"type": "exclusive",
"value": "timestamp01"
}
},
"exported": false
},
{
"field": "col7",
"filter": {
"type": "include",
"list": [
"true"
]
},
"exported": true
},
{
"field": "col8",
"filter": {
"recency": "P30D",
"from": null,
"to": {
"type": "exclusive",
"value": "timestamp01"
}
},
"exported": true
},
{
"field": "col9",
"filter": {
"expressions": [
"col9 > -90",
"col9 < 90"
]
},
"exported": true
}
],
"optional": true
},
{
"attribute_id": 321,
"fields": [
{
"field": "col9",
"filter": {
"expressions": [
"col9 > -90",
"col9 < 90"
]
},
"exported": false
}
],
"optional": false
}
],
"deduplication": {
"period": "P60D",
"column_references": null,
"attribute_references": [
{
"attribute_id": 123,
"column_names": [
"col9",
"col9.foo.bar"
]
}
]
},
"frequency_filter": {
"column_references": null,
"attribute_references": [
{
"attribute_id": 123,
"column_names": [
"col9.foo.bar"
]
}
],
"min_inclusive": 2,
"max_inclusive": 5
}
},
"auth_rules": {
"company_constraint": {
"type": "inclusion",
"company_ids": [
160,
1701
]
}
},
"created_by": 5000,
"created_at": "2021-06-29T10:58:36.726Z",
"updated_at": "2021-06-29T10:58:36.726Z",
"datasets": null
}Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Path Parameters
Unique identifier for a data-stream.
Body
application/json
The id of an existing company
Example:
345
A name.
Minimum string length:
1The DataStream's slug. Used for SEO/URLs.
Minimum string length:
1Show child attributes
Show child attributes
A tag. Useful for searching and cataloging
Minimum string length:
1The DataStream's category. Useful for searches and cataloging.
Minimum string length:
1Show child attributes
Show child attributes
Data rules capture the rules around how the data is handled within a data stream. The starting point might be an already predefined and active dataset(s) or the global data attributes on the platform.
Data rules might apply further filtering on the data being ingested and exported through the stream.
Show child attributes
Show child attributes
Show child attributes
Show child attributes
Unique id from a user who created it.
Example:
20
The instant this data-stream came into existence.
Example:
"2021-06-24T00:54:40.029056Z"
The instant this data-stream was last updated.
Example:
"2021-06-24T00:54:40.029056Z"
Response
OK
The id of an existing company
Example:
345
A name.
Minimum string length:
1The DataStream's slug. Used for SEO/URLs.
Minimum string length:
1Show child attributes
Show child attributes
A tag. Useful for searching and cataloging
Minimum string length:
1The DataStream's category. Useful for searches and cataloging.
Minimum string length:
1Show child attributes
Show child attributes
Data rules capture the rules around how the data is handled within a data stream. The starting point might be an already predefined and active dataset(s) or the global data attributes on the platform.
Data rules might apply further filtering on the data being ingested and exported through the stream.
Show child attributes
Show child attributes
Show child attributes
Show child attributes
Unique id from a user who created it.
Example:
20
The instant this data-stream came into existence.
Example:
"2021-06-24T00:54:40.029056Z"
The instant this data-stream was last updated.
Example:
"2021-06-24T00:54:40.029056Z"
⌘I