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APIs / IOT / Adafruit / Adafruit IO REST API
Adafruit IO REST API logo

Adafruit IO REST API

Browse all Adafruit APIs
52
AI ReadinessNon-Ready (C-)52/100
See full scorecard
Agent-ready OpenAPI document · curated by JenticIOTSensor DataapiKey71 EndpointsREST

Know of an official OpenAPI document? Contribute it →

For Agents

Manage feeds, dashboards, blocks, and signed requests across the full Adafruit IO REST surface for IoT projects.

Use for: I need to create a new Adafruit IO dashboard, Add a chart block to an existing dashboard, Pull chart-aggregated data for a feed over the last 24 hours, Check how close I am to the Adafruit IO throttle limit

Not supported: Does not handle device firmware OTA, cellular connectivity, or paid IoT SIMs - use for Adafruit IO feeds, dashboards, blocks, throttle, and activity data only.

Jentic publishes the only available OpenAPI specification for Adafruit IO REST API, keeping it validated and agent-ready. The Adafruit IO REST API exposes the full IoT platform surface - feeds, dashboards and blocks, groups, throttle status, activities, charts, and signed-request authentication. The spec covers 71 endpoints and supports both header and query API key auth (X-AIO-Key) plus an X-AIO-Signature scheme for signed requests. Endpoints under /{username}/feeds include chart, batch, retain, previous, next, first, and last data accessors for finely controlled telemetry retrieval.

Jentic One on GithubView OpenAPI Document

Install Jentic One Beta

Connect the Adafruit IO REST API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Adafruit IO REST 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.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

1

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fadafruit.com%2Fadafruit-adafruit-io-api" | sh
2

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fadafruit.com%2Fadafruit-adafruit-io-api" | sh
jentic register       # connects your agent to your Jentic One instance

Jentic 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.

Capabilities

What an agent can do with Adafruit IO REST API.

Create and manage feeds, including batch ingest, chart data, and last/first/next/previous data points under /{username}/feeds

Build and update IoT dashboards and add blocks via /{username}/dashboards and /{username}/dashboards/{dashboard_id}/blocks

Inspect feed throughput limits using /{username}/throttle

Group related feeds together through /{username}/groups

Pull the user's recent activities at /{username}/activities and /{username}/activities/{type}

Configure feed retention policies through the /{username}/feeds/{feed_key}/data/retain endpoint

Authenticate with either header or query X-AIO-Key, or via signed requests using X-AIO-Signature

Use Cases

Patterns agents use Adafruit IO REST API for, with concrete tasks.

★ Dashboard automation

Makers and educators auto-provision Adafruit IO dashboards for student projects or home setups. An agent can POST to /{username}/dashboards to create the dashboard, then POST to /{username}/dashboards/{dashboard_id}/blocks for each chart, gauge, or toggle block. This avoids dragging blocks around the UI for every new project.

Create a dashboard 'classroom-temp', then add chart blocks for the temperature, humidity, and pressure feeds via /{username}/dashboards/{dashboard_id}/blocks

Time-series chart retrieval

Analytics workflows need pre-aggregated chart data instead of raw points. /{username}/feeds/{feed_key}/data/chart returns chartable summaries that suit dashboards and ML feature pipelines without client-side bucketing. An agent can pull the chart series, then push it into a notebook or warehouse.

GET /{username}/feeds/temp/data/chart with hours=24 and resolution=15 minutes, then export to a Parquet file

Throttle-aware ingest

Devices that send frequent telemetry can exhaust Adafruit IO's per-minute limits. An agent can periodically GET /{username}/throttle to read remaining capacity, then decide whether to batch via /{username}/feeds/{feed_key}/data/batch or pause ingest. This makes the device cooperative with the platform's fair-use limits.

GET /{username}/throttle, and if remaining is low, batch the next 5 minutes of readings via /{username}/feeds/{feed_key}/data/batch

Signed-request device auth

Some constrained devices cannot safely store a long-lived API key. Adafruit IO supports signed requests using the X-AIO-Signature header alongside an X-AIO-Key, so a backend can pre-sign a request that a device executes within a short window. An agent can act as the signing service for a fleet of devices.

Generate an X-AIO-Signature for a POST to /{username}/feeds/temp/data and hand it to the device for execution

AI agent integration

Makers building agent assistants for their lab or home expose Adafruit IO REST through Jentic alongside notification and dashboarding APIs. The X-AIO-Key (and signature where used) live in your Jentic One instance; the agent searches by intent - 'create a dashboard', 'read a chart', 'check throttle' - without seeing raw keys.

Search Jentic for 'create an Adafruit IO dashboard with charts', load the dashboard and block schemas, and execute them in sequence

Key Endpoints

71 endpoints — jentic publishes the only available openapi specification for adafruit io rest api, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

GET

/{username}/feeds

List feeds

POST

/{username}/feeds/{feed_key}/data/batch

Batch ingest data points

GET

/{username}/feeds/{feed_key}/data/chart

Get chart-aggregated feed data

GET

/{username}/feeds/{feed_key}/data/last

Get the latest data point

POST

/{username}/dashboards

Create a dashboard

POST

/{username}/dashboards/{dashboard_id}/blocks

Add a block to a dashboard

GET

/{username}/throttle

Read throttle status

GET

/{username}/activities

List recent activities

GET

/{username}/feeds

List feeds

POST

/{username}/feeds/{feed_key}/data/batch

Batch ingest data points

GET

/{username}/feeds/{feed_key}/data/chart

Get chart-aggregated feed data

GET

/{username}/feeds/{feed_key}/data/last

Get the latest data point

POST

/{username}/dashboards

Create a dashboard

POST

/{username}/dashboards/{dashboard_id}/blocks

Add a block to a dashboard

GET

/{username}/throttle

Read throttle status

GET

/{username}/activities

List recent activities

Jentic AI Readiness Score

This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.

A

Adafruit IO REST API

- Non-Ready (C-)
52/100
26
Foundational Compliance
69
Developer Experience & Jentic Compatibility
57
AI-Readiness & Agent Experience
91
Agent Usability
38
Security
100
AI Discoverability
Powered by JenticScoring Framework 1.0.0 | Scoring Engine 0.4.0
Show dimension breakdown
26

Foundational Compliance

Base layer of spec validity and structural soundness.

Grade: FSignals: 4
16%

Lint Results

Aggregated quality score from linter diagnostics, weighted by severity.

26%

Resolution Completeness

Percentage of `$ref` references that resolve successfully.

0%

Specification Validity

Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).

60%

Structural Integrity

Structural correctness score based on schema issues using logarithmic dampening.

69

Developer Experience & Jentic Compatibility

Clarity, completeness, and ingestion readiness for developers and tooling.

Grade: B+Signals: 4
0%

Example Density

How richly the API is illustrated with examples.

100%

Example Validity

Percentage of examples that conform to their schemas.

75%

Response Coverage

Percentage of operations with complete response definitions (success, client error, server error).

100%

Tooling Readiness

Health of API ingestion, bundling, and resolution within Jentic pipelines.

57

AI-Readiness & Agent Experience

Semantic breadth, depth, and agent comprehension for AI systems.

Grade: C+Signals: 4
62%

Description Coverage

Coverage of descriptions across API elements.

0%

Error Standardization

Coverage of RFC 9457 Problem Details for error responses.

100%

OperationId Quality

Coverage, uniqueness, and casing consistency of operationIds for AI inference.

66%

Summary Coverage

Coverage of summaries across operations/tags/info.

91

Agent Usability

Functional utility, complexity comfort, and AI orchestration readiness.

Grade: A+Signals: 1
91%

Complexity Comfort

Agent comfort level based on API operational and structural complexity.

38

Security

Trust, risk posture, and security compliance.

Grade: FSignals: 1
38%

Authentication Strength

Average quality of security schemes based on authentication method strength (weakest link for OAuth2).

100

AI Discoverability

Findability, semantic richness, and reasoning readiness.

Grade: A+Signals: 1
100%

Descriptive Richness

Clarity and depth of descriptions across API elements.

View full reportHow the score is calculatedMore about the dimensions

Score it yourself

Every API in the directory is allowlisted, so you can re-score it with no key required.

Score your own APIScoring CLI agent skill
npx @jentic/api-scorecard-cli score <openapi-url>

Why Jentic?

What agents get from Jentic-routed access to this vendor.

Setup

Wiring the Adafruit IO REST API by hand means attaching the X-AIO-Key and X-AIO-Signature headers on every call and threading the username, feed key, and dashboard id through feed and dashboard endpoints. Through Jentic you install once, import the Adafruit IO REST API from the API Directory, store the key and signature once, and your agent calls it.

Permission scoping

Adafruit IO puts the feed key in the URL path (/{username}/feeds/{feed_key}/...), so a rule can pin your agent to one feed: it can batch data into that feed and read its chart and nothing else. You choose the operations it may call, so creating dashboards or blocks is not included unless you add it.

Credential isolation

Your Adafruit IO X-AIO-Key and X-AIO-Signature are stored once, encrypted, by your own Jentic One instance and injected as headers at execution time. They never enter the agent's prompt, logs, or context.

Intent-based discovery

Agents search Jentic by intent such as 'create an Adafruit IO dashboard' or 'check throttle status', and Jentic returns the matching operation with its input schema so the agent calls the right endpoint without browsing the reference docs.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Alternative

Adafruit IO API

→

Slimmer 18-endpoint Adafruit IO surface - feeds, groups, and user only.

Use the slimmer Adafruit IO API when you only need feeds and groups; this REST surface is wider with dashboards and blocks.

Alternative

Particle API

→

End-to-end IoT platform with hardware, cellular SIM, and OTA firmware updates.

Choose Particle when the project needs over-the-air firmware management and SIM connectivity that Adafruit IO does not provide.

Alternative

Blynk API

→

Mobile-first IoT platform with a drag-and-drop dashboard builder.

Pick Blynk when end users interact mainly via a mobile app and you want native dashboard authoring there.

FAQs

Specific to using Adafruit IO REST API through Jentic.

Why is there no official OpenAPI spec for Adafruit IO REST API?

Adafruit publishes API documentation but not a structured OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call Adafruit IO REST API via structured tooling. It is validated against the live API and kept up to date. Get started with Jentic One, the self-hosted execution layer.

What authentication does the Adafruit IO REST API use?

The API supports an X-AIO-Key API key, in either the request header or query string, and an X-AIO-Signature header for signed requests. Through Jentic, both values are stored encrypted in your Jentic One instance and the agent receives a scoped execution handle, so the raw key and signature never appear in prompts.

Can I create dashboards and blocks with the Adafruit IO REST API?

Yes. POST /{username}/dashboards creates a dashboard, and POST /{username}/dashboards/{dashboard_id}/blocks adds chart, gauge, or toggle blocks tied to specific feeds. The full block lifecycle (create, update, delete) is exposed under /{username}/dashboards/{dashboard_id}/blocks/{id}.

What are the rate limits for the Adafruit IO REST API?

Adafruit IO enforces a per-minute throughput cap that depends on the account tier. Use GET /{username}/throttle to read your current remaining capacity, and prefer batch ingest via /{username}/feeds/{feed_key}/data/batch over single-point posts to stay within budget.

How do I create an Adafruit IO dashboard through Jentic?

Run pip install jentic, search Jentic for 'create an Adafruit IO dashboard', load the schema for POST /{username}/dashboards, and execute it with a name. Then chain a search for 'add a block to an Adafruit IO dashboard' to load POST /{username}/dashboards/{dashboard_id}/blocks. Jentic injects the X-AIO-Key from the vault.

Does the Adafruit IO REST API support data retention rules?

Yes. The /{username}/feeds/{feed_key}/data/retain endpoint configures retention behaviour for a feed - useful when you want long-term storage for some feeds but not others, or when you need to cap storage for a constrained tier.

Can I limit what my agent is allowed to do with the Adafruit IO REST API?

Yes. Because you run Jentic One yourself, your own rules decide which Adafruit IO operations and credentials the agent may use, and only the operations you allow are callable. Adafruit IO puts the feed key in the URL path (/{username}/feeds/{feed_key}/...), so a rule can pin the agent to a single feed, letting it batch data into that feed via /{username}/feeds/{feed_key}/data/batch and read its chart via /data/chart and nothing else. Operations are opt-in, so creating dashboards through /{username}/dashboards or adding blocks is not available to the agent unless you explicitly include them.

GET STARTED

Start building with Adafruit IO REST API

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View OpenAPI Document