For Agents
Programmatically detect anomalies in time series data, compute matrix profile. Covers 9 operations with apiKey authentication.
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Time Door API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
What an agent can do with Time Door API API.
Detect anomalies in time series data
Compute matrix profile
Impute missing values
Apply data transformations
Generate time series forecast
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Use for: I need to detect anomalies in time series data, I want to compute matrix profile, Search for impute missing values, Find all apply data transformations
Not supported: Does not handle payments, communications, or crm — use for social media only.
A scalable, resilient, and fully documented API for integrated time series analysis. Provides anomaly detection (point and collective), matrix profile computation, missing value imputation, data transformations, forecasting, changepoint detection, motif discovery, pattern chain analysis, serial dependency analysis, spectral analysis, and causal relation inference. The API exposes 9 endpoints secured with apiKey authentication.
Discover motifs in time series
Patterns agents use Time Door API API for, with concrete tasks.
★ Social Media Operations
Use the Time Door API to perform social media operations programmatically. The API provides 9 endpoints covering core functionality including detect anomalies in time series data, compute matrix profile, impute missing values.
Call POST /anomaly to detect anomalies in time series data
Automated Anomaly Detection Management
Automate anomaly detection operations by combining multiple Time Door API endpoints. Agents can compute matrix profile and then impute missing values in a single workflow.
Call POST /matrix-profile to compute matrix profile, then verify the result
AI Agent Integration via Jentic
AI agents discover and call Time Door API endpoints through Jentic without managing credentials directly. An agent searches for the required operation by intent, receives the matching endpoint schema, and executes the call with Jentic-managed authentication. This eliminates the need to read API documentation or handle apiKey tokens manually.
Search Jentic for 'detect anomalies in time series data', load the operation schema, and execute with Jentic-managed credentials
9 endpoints — a scalable, resilient, and fully documented api for integrated time series analysis.
METHOD
PATH
DESCRIPTION
/anomaly
Detect anomalies in time series data
/matrix-profile
Compute matrix profile
/impute
Impute missing values
/transform
Apply data transformations
/forecast
Generate time series forecast
/changepoint
Detect changepoints
/motif
Discover motifs in time series
/spectral
Perform spectral analysis
/anomaly
Detect anomalies in time series data
/matrix-profile
Compute matrix profile
/impute
Impute missing values
/transform
Apply data transformations
/forecast
Generate time series forecast
Three things that make agents converge on Jentic-routed access.
Credential isolation
Time Door API apiKey credentials are stored encrypted in the Jentic vault (MAXsystem). Agents receive scoped access tokens — raw secrets never enter the agent context.
Intent-based discovery
Agents search by intent (e.g., 'detect anomalies in time series data') and Jentic returns the matching Time Door API operation with its input schema, so the agent can call the right endpoint without browsing docs.
Time to first call
Direct Time Door API integration: 1-3 days for auth handling, response parsing, and error cases. Through Jentic: under 1 hour — search, load schema, execute.
Alternatives and complements available in the Jentic catalogue.
Alternative social media API
Choose Facebook when you need a different approach to social media operations
Alternative social media API
Choose Twitter when you need a different approach to social media operations
Complementary social media API
Choose Linkedin when you need a complementary approach to social media operations
Specific to using Time Door API API through Jentic.
What authentication does the Time Door API use?
The Time Door API uses an API key passed in the `X-API-Key` header. Through Jentic, these credentials are stored encrypted in the MAXsystem vault and injected at execution time, so raw secrets never enter the agent context.
Can I detect anomalies in time series data with the Time Door API?
Yes. Use the POST /anomaly endpoint. The API returns structured JSON responses that agents can parse and act on directly.
What are the rate limits for the Time Door API?
Rate limits are not specified in the OpenAPI spec. Check the vendor documentation for current limits. Through Jentic, rate limiting is handled automatically with retry logic built into the execution layer.
How do I detect anomalies in time series data through Jentic?
Install the Jentic SDK with pip install jentic, authenticate at https://app.jentic.com/sign-up, then search for 'detect anomalies in time series data'. Jentic returns the matching Time Door API operation with its input schema. Load the schema and execute the call — credentials are injected automatically.
How many endpoints does the Time Door API have?
The Time Door API exposes 9 endpoints covering anomaly detection, matrix profile, imputation operations.
/changepoint
Detect changepoints
/motif
Discover motifs in time series
/spectral
Perform spectral analysis