Every API here is available over the APIs.io API and to AI agents over MCP.
MCP server
One button, every client — Claude, Cursor, VS Code and the rest.
https://apis.io/mcp
Tools for apis
7 MCP tools reach this
find_apisBrowse and filter every API in the catalog.
get_api_artifactsOne API's artifacts, grouped by type.
get_openapiThe primary OpenAPI for this API.
find_similar_apisAPIs that look like this one.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.
All 92 tools →
Call it yourself
curl for this page
This API
curl "https://apis.io/api/v1/apis/cognite-synthetic-time-series-api"
All apis
curl "https://apis.io/api/v1/apis?limit=25"
Discovery needs no key. Ratings and market analysis are Pro.
Get an API key
Free tier, no form to fill in. Signing in shares your email address with us — we
store it to create your key and to recognise you if you sign in with another
provider. See our Privacy Policy and
Terms.
A second provider on the same verified email joins the account you already have.
openapi: 3.2.0
info:
title: Cognite Synthetic Time Series API
description: '# Introduction
This is the reference documentation for the Cognite API with
an overview of all the available methods.'
version: v1
contact:
name: Cognite Support
url: https://support.cognite.com
email: support@cognite.com
servers:
- url: https://{cluster}.cognitedata.com/api/v1/projects/{project}
description: The URL for the CDF cluster to connect to
variables:
cluster:
enum:
- api
- az-tyo-gp-001
- az-eastus-1
- az-power-no-northeurope
- westeurope-1
- asia-northeast1-1
- gc-dsm-gp-001
default: api
description: The CDF cluster to connect to
project:
default: publicdata
description: The CDF project name.
security:
- oidc-token:
- https://{cluster}.cognitedata.com/.default
- oauth2-client-credentials:
- https://{cluster}.cognitedata.com/.default
- oauth2-open-industrial-data:
- https://api.cognitedata.com/.default
- oauth2-auth-code:
- https://{cluster}.cognitedata.com/.default
tags:
- name: Synthetic Time Series
description: Synthetic Time Series (STS) is a way to combine various input time series, constants and operators, to create completely new time series.
paths:
/timeseries/synthetic/query:
post:
tags:
- Synthetic Time Series
summary: Synthetic query
description: Execute an on-the-fly synthetic query
operationId: querySyntheticTimeseries
requestBody:
description: The list of queries to perform
content:
application/json:
schema:
$ref: '#/components/schemas/SyntheticMultiQuery'
required: true
responses:
'200':
description: List of datapoints for the specified queries.
content:
application/json:
schema:
$ref: '#/components/schemas/SyntheticQueryResponses'
'400':
description: Query error
x-code-samples:
- lang: JavaScript
label: JavaScript SDK
source: "await client.timeseries.syntheticQuery([\n {\n expression: \"24 * TS{externalId='production/hour', aggregate='average', granularity='1d'}\",\n start: '48h-ago',\n end: 'now',\n limit: 100\n }\n]);"
- lang: Python
label: Python SDK
source: "expression = '''\n 123\n + ts{id:123}\n + ts{externalId:'abc'}\n + ts{space:'my-space',externalId:'my-ts-xid'}\n'''\ndps = client.time_series.data.synthetic.query(\n expressions=expression,\n start=\"2w-ago\",\n end=\"now\")\n\nfrom cognite.client.data_classes.data_modeling.ids import NodeId\nts = client.time_series.retrieve(id=123)\nvariables = {\n \"A\": ts,\n \"B\": \"my_ts_external_id\",\n \"C\": NodeId(\"my-space\", \"my-ts-xid\"),\n}\ndps = client.time_series.data.synthetic.query(\n expressions=\"A+B+C\", start=\"2w-ago\", end=\"now\", variables=variables)\n\nfrom sympy import symbols, cos, sin\nx, y = symbols(\"x y\")\ndps = client.time_series.data.synthetic.query(\n [sin(x), y*cos(x)],\n start=\"2w-ago\",\n end=\"now\",\n variables={x: \"foo\", y: \"bar\"},\n aggregate=\"interpolation\",\n granularity=\"15m\",\n target_unit=\"temperature:deg_c\")\n"
components:
schemas:
SyntheticQuery:
type: object
description: Synthetic query description
required:
- expression
properties:
expression:
type: string
description: query definition. For limits, see the [guide to synthetic time series](https://docs.cognite.com/dev/concepts/resource_types/synthetic_timeseries#limits).
example: (5 + TS{externalId='hello'}) / TS{id=123, aggregate='average', granularity='1h'} * TS{space='dm space', externalId='dm id'}
start:
$ref: '#/components/schemas/TimestampOrStringStart'
end:
$ref: '#/components/schemas/TimestampOrStringEnd'
limit:
type: integer
description: Return up to this number of datapoints
format: int32
example: 100
minimum: 1
maximum: 10000
timeZone:
type: string
description: 'For aggregates of granularity ''hour'' and longer, which [time zone](<https://docs.cognite.com/dev/concepts/aggregation/calendar>) should we align to. Align to the start of the hour, start of the day or start of the month. For time zones of type Region/Location, the aggregate duration can vary, typically due to daylight saving time. For time zones of type UTC+/-HH:MM, use increments of 15 minutes.
'
default: UTC
example: Europe/Oslo or UTC+05:30
SyntheticDataError:
type: object
required:
- timestamp
- error
properties:
timestamp:
$ref: '#/components/schemas/EpochTimestamp'
error:
type: string
description: Human readable string with description of what went wrong
example: 'Error BAD_DOMAIN: Division by zero'
TimestampOrStringStart:
oneOf:
- type: integer
default: 0
- type: string
description: 'Get datapoints starting from, and including, this time. The format is N[timeunit]-ago where
timeunit is w,d,h,m,s. Example: ''2d-ago'' gets datapoints that are up to 2 days
old. You can also specify time in milliseconds since epoch. Note that for aggregates, the start time is rounded down to a whole granularity unit (in UTC timezone). Daily granularities (d)
are rounded to 0:00 AM; hourly granularities (h) to the start of the hour, etc.'
SyntheticDataValue:
type: object
required:
- timestamp
- value
properties:
timestamp:
$ref: '#/components/schemas/EpochTimestamp'
value:
type: number
description: the data value
SyntheticQueryResponses:
type: object
required:
- items
properties:
items:
type: array
items:
$ref: '#/components/schemas/SyntheticQueryResponse'
EpochTimestamp:
description: The number of milliseconds since 00:00:00 Thursday, 1 January 1970, Coordinated Universal Time (UTC), minus leap seconds.
type: integer
minimum: 0
format: int64
example: 1730204346000
TimestampOrStringEnd:
oneOf:
- type: integer
- type: string
default: now
description: Get datapoints up to, but excluding, this point in time. Same format as for start. Note that when using aggregates, the end will be rounded up such that the last aggregate represents a full aggregation interval containing the original end, where the interval is the granularity unit times the granularity multiplier. For granularity 2d, the aggregation interval is 2 days, if end was originally 3 days after the start, it will be rounded to 4 days after the start.
SyntheticMultiQuery:
type: object
required:
- items
properties:
items:
type: array
items:
$ref: '#/components/schemas/SyntheticQuery'
minItems: 1
maxItems: 10
SyntheticDataPoint:
type: object
oneOf:
- $ref: '#/components/schemas/SyntheticDataValue'
- $ref: '#/components/schemas/SyntheticDataError'
SyntheticQueryResponse:
type: object
required:
- datapoints
properties:
isString:
type: boolean
example: false
description: whether the returned data points are of string type or floating point type. Currently it will always be false.
datapoints:
type: array
description: list of data points
items:
$ref: '#/components/schemas/SyntheticDataPoint'
securitySchemes:
oidc-token:
type: http
scheme: bearer
bearerFormat: OpenID Connect or OAuth2 token
description: Access token issued by the CDF project's configured identity provider. Access token must be an OpenID Connect token, and the project must be configured to accept OpenID Connect tokens. Use a header key of 'Authorization' with a value of 'Bearer $accesstoken'. The token can be obtained through any flow supported by the identity provider.
oauth2-client-credentials:
type: oauth2
description: Access token issued by the CDF project's configured identity provider. Access token must be an OpenID Connect token, and the project must be configured to accept OpenID Connect tokens. Use a header key of 'Authorization' with a value of 'Bearer $accesstoken'. The token can be obtained through any flow supported by the identity provider.
flows:
clientCredentials:
tokenUrl: https://your-idps.token.url/
scopes:
default: https://{cluster}.cognitedata.com/.default
oauth2-auth-code:
type: oauth2
description: Access token issued by the CDF project's configured identity provider. Access token must be an OpenID Connect token, and the project must be configured to accept OpenID Connect tokens. Use a header key of 'Authorization' with a value of 'Bearer $accesstoken'. The token can be obtained through any flow supported by the identity provider.
flows:
authorizationCode:
authorizationUrl: https://your-idps.authorization.url/
tokenUrl: https://your-idps.token.url/
scopes:
default: https://{cluster}.cognitedata.com/.default
oauth2-open-industrial-data:
type: oauth2
description: Auth flow for Open Industrial Data. Get your client secret from https://hub.cognite.com/open-industrial-data-211.
flows:
clientCredentials:
tokenUrl: https://login.microsoftonline.com/48d5043c-cf70-4c49-881c-c638f5796997/oauth2/v2.0/token
scopes:
default: https://api.cognitedata.com/.default
org-oidc-token:
type: openIdConnect
openIdConnectUrl: https://auth.cognite.com/.well-known/openid-configuration
description: 'Access token issued by the Cognite authorization server, and valid for the target organization. The token must
be an OpenID Connect token, and it can be obtained by performing an OIDC login flow toward `auth.cognite.com`.
This is a single URL for all CDF organizations.'
x-tagGroups:
- name: Changelog
tags:
- Changelog
- name: Organizations and projects
tags:
- Organizations
- Projects
- name: Identity and access management
tags:
- Principals
- Groups
- Security categories
- Sessions
- Token
- User profiles
- Project Deletion Reporting
- name: Data modeling
tags:
- Data Modeling
- Data models
- Spaces
- Views
- Containers
- Nodes
- Instances
- Statistics
- Streams
- Records
- name: Asset-centric data model
tags:
- Assets
- Time series
- Synthetic Time Series
- Data point subscriptions
- Events
- Files
- Sequences
- Geospatial
- Seismic
- name: 3D
tags:
- 3D Models
- 3D Model Revisions
- 3D Files
- 3D Asset Mapping
- 3D Contextualization
- 3D Jobs
- 3D Migration
- 3D Scenes
- name: Contextualization
tags:
- Entity matching
- Entity matching pipelines
- Engineering diagrams
- Vision
- Advanced joins
- name: Cognite AI
tags:
- Agents
- Skills
- Chat Completions
- Document AI
- Models
- name: Documents
tags:
- Documents
- Document preview
- name: Data ingestion
tags:
- Raw
- Extraction Pipelines
- Extraction Pipelines Runs
- Extraction Pipelines Config
- Extractors
- name: Data organization
tags:
- Data sets
- Data domains
- Data products
- Rule sets
- Labels
- Relationships
- Annotations
- name: Transformations
tags:
- Transformations
- Transformation Jobs
- Transformation Schedules
- Transformation Notifications
- Query
- Schema
- name: Functions
tags:
- Functions
- Function calls
- Function schedules
- name: Hosted Extractors
tags:
- Sources
- Jobs
- Destinations
- Mappings
- name: PostgreSQL Gateway
tags:
- Postgres Gateway Users
- Postgres Gateway Tables
- name: SAP Writeback
tags:
- SAP Instances
- SAP Endpoints
- Schema Mappings
- Writeback Requests
- name: Data workflows
tags:
- Workflows
- Workflow versions
- Workflow executions
- Workflow triggers
- Tasks
- Workers
- name: Simulators
tags:
- Simulators
- Simulator Integrations
- Simulator Models
- Simulator Routines
- Simulation Runs
- Simulator Logs
- name: Units
tags:
- Units
- Unit Systems
- name: ''
tags:
- ''