Install Jentic One Beta

Connect the Maxar eAPI to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Maxar eAPI, 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.

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%2Feapi.maxar.com%2Fmaxar" | sh

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%2Feapi.maxar.com%2Fmaxar" | 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 Maxar eAPI API.

Search Maxar's satellite imagery archive by polygon, date range, and cloud cover

Filter results by sensor, off-nadir angle, and resolution to match a project specification

Submit an imagery order against selected catalogue scenes for downstream delivery

Inspect order parameters before commit to validate AOI and acquisition window

Use Cases

Patterns agents use Maxar eAPI API for, with concrete tasks.

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Start building with Maxar eAPI API

Explore with Jentic One

View OpenAPI Document

★ Disaster response imagery tasking

Emergency response teams need fresh imagery over a wildfire, flood, or earthquake AOI within hours. Agents call /e1so/search with the affected polygon and a 72-hour acquisition window, then call /e1so/order against the most recent cloud-free scene to commission delivery.

Search Maxar for scenes over the polygon defined by [-118.5,34.0],[-118.4,34.1] captured in the last 7 days with under 15 percent cloud cover, then order the most recent matching scene.

Commercial change detection monitoring

Insurance, mining, and infrastructure firms run repeated change-detection passes over fixed AOIs. Agents schedule periodic /e1so/search calls and order any new scene that improves on the existing baseline in resolution or recency, automating what was previously a manual procurement step.

Each Monday, search for new Maxar scenes over the fixed AOI WKT 'POLYGON((...))' since the previous run and order any scene captured in the last week.

GIS analyst on-demand workflows

GIS analysts working in QGIS or ArcGIS often need the latest sub-metre imagery for a study area. Agents wrap the search and order endpoints into a one-line natural-language request, removing the friction of manually clicking through Maxar's portal.

Find the highest-resolution Maxar scene over coordinates 51.5074N,0.1278W from this calendar year and return its scene ID and acquisition timestamp.

Agent-driven imagery procurement

Through Jentic, a planning or research agent translates natural-language imagery needs into Maxar searches and orders. The agent does not need to know endpoint paths or token formats - Jentic resolves the right operation and injects credentials so the user just describes the AOI and acquisition window.

Given a city name and a date, geocode the city, build a 5km bounding box, search Maxar for matching scenes, and order the best match.

Key Endpoints

2 endpoints — the maxar eapi provides programmatic access to maxar's high-resolution earth observation imagery archive.

METHOD

PATH

DESCRIPTION

GET

/e1so/search

Search the Maxar imagery catalogue

POST

/e1so/order

Place an imagery order

GET

/e1so/search

Search the Maxar imagery catalogue

POST

/e1so/order

Place an imagery order

Why Jentic?

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

Setup

Wiring Maxar eAPI by hand means setting up its bearer auth and coding the catalogue search and order placement calls against the eapi host yourself. Through Jentic you install once, import Maxar eAPI from the API Directory, store the token once, and your agent calls it.

Permission scoping

Maxar eAPI carries its search and order targets in the request body rather than the URL path, so scope your agent to the operations it needs, such as searching the catalogue. The imagery order operation stays out of the allowed set unless you add it.

Credential isolation

Your Maxar bearer token is stored once, encrypted, by your own Jentic One instance and injected into the Authorization header at execution time. It never enters the agent's prompt, logs, or context.

Intent-based discovery

Agents search Jentic by intent such as 'find satellite imagery over a polygon' or 'place an imagery order', and Jentic returns the matching Maxar search and order operations with their input schemas so the agent calls the right endpoint without browsing the reference docs.

FAQs

Specific to using Maxar eAPI API through Jentic.

What authentication does the Maxar eAPI use?

Maxar eAPI uses HTTP bearer authentication. Through Jentic, the bearer token is stored encrypted in the vault and attached to every Authorization header at execution time, so the raw token never enters the agent's context.

Can I search and order Maxar imagery in a single workflow?

Yes. /e1so/search returns matching catalogue scenes for a given AOI and date range, and /e1so/order accepts the scene IDs to commit an order. An agent can chain the two calls in one workflow to go from intent to order in a single Jentic execute call sequence.

What are the rate limits for the Maxar eAPI?

The spec does not publish numeric rate limits. Maxar applies per-account quotas based on contract - check your account portal or contact Maxar customer success for the burst and daily limits applied to your subscription.

How do I order satellite imagery through Jentic?

Search Jentic for 'order satellite imagery', load the schema for POST /e1so/order, then execute with the scene IDs returned by an earlier search. The flow is: pip install jentic, then await client.search, await client.load, await client.execute.

Does the Maxar eAPI deliver imagery directly in the response?

No. /e1so/order commits an order; imagery is delivered asynchronously through the channel configured on your Maxar account, typically S3 or SFTP. The API surface is for catalogue discovery and order placement, not raster streaming.

Can I limit what my agent is allowed to do with the Maxar eAPI?

Yes. Because you run Jentic One yourself, your own rules decide which Maxar eAPI operations the agent may call and which credentials it can use. The Maxar eAPI exposes two operations, catalogue search at GET /e1so/search and imagery ordering at POST /e1so/order, so you can allow your agent to search the imagery catalogue while keeping the order operation out of its permitted set. You add the ordering operation to the allowed set only when you decide the agent should commit orders.

Eapi Maxar Maxar eAPI

AI ReadinessAI-Aware (B)66/100

See full scorecard

Official vendor OpenAPI document · agent-readyMaps GeolocationMappingbearer2 EndpointsREST

For Agents

Search the Maxar satellite imagery catalogue by area of interest and acquisition window, and place orders for imagery delivery.

Use for: Search for cloud-free satellite imagery over a specific polygon last month, Find Maxar scenes captured in the last 30 days with under 10 percent cloud cover, Place an order for the selected satellite scenes, Retrieve high-resolution imagery for a wildfire response area

Not supported: Does not handle imagery analytics, change detection algorithms, or live raster streaming - use for Maxar catalogue search and imagery order placement only.

The Maxar eAPI provides programmatic access to Maxar's high-resolution Earth observation imagery archive. The two-endpoint surface lets agents search the catalogue by area of interest, cloud cover, and acquisition date, and submit orders for delivery of selected scenes. It is used by GIS teams, defence and intelligence customers, and commercial monitoring services that need fresh sub-metre satellite imagery on demand.

Jentic One on Github View OpenAPI Document

Show dimension breakdown

Foundational Compliance

Base layer of spec validity and structural soundness.

Grade: ASignals: 4

99%

Lint Results

Aggregated quality score from linter diagnostics, weighted by severity.

100%

Resolution Completeness

Percentage of `$ref` references that resolve successfully.

100%

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.

Developer Experience & Jentic Compatibility

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

Grade: B-Signals: 4

Example Density

How richly the API is illustrated with examples.

100%

Example Validity

Percentage of examples that conform to their schemas.

50%

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.

AI-Readiness & Agent Experience

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

Grade: DSignals: 4

31%

Description Coverage

Coverage of descriptions across API elements.

Error Standardization

Coverage of RFC 9457 Problem Details for error responses.

100%

OperationId Quality

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

50%

Summary Coverage

Coverage of summaries across operations/tags/info.

Agent Usability

Functional utility, complexity comfort, and AI orchestration readiness.

Grade: A+Signals: 1

94%

Complexity Comfort

Agent comfort level based on API operational and structural complexity.

Security

Trust, risk posture, and security compliance.

Grade: B-Signals: 1

60%

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.

Connect the Maxar eAPI to your agent

Capabilities

Use Cases

Start building with Maxar eAPI API

Key Endpoints

Why Jentic?

Related APIs

FAQs

Eapi Maxar Maxar eAPI

Jentic AI Readiness Score

Maxar eAPI

Foundational Compliance

Lint Results

Resolution Completeness

Specification Validity

Structural Integrity

Developer Experience & Jentic Compatibility

Example Density

Example Validity

Response Coverage

Tooling Readiness

AI-Readiness & Agent Experience

Description Coverage

Error Standardization

OperationId Quality

Summary Coverage

Agent Usability

Complexity Comfort

Security

Authentication Strength

AI Discoverability

Descriptive Richness