Install Jentic One Beta

Connect the Multi Item Search to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Multi Item Search, 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%2Fswaggerhub.testorg1233322%2Fmulti-item-search" | 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%2Fswaggerhub.testorg1233322%2Fmulti-item-search" | 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 Multi Item Search API.

information about retail products, searched based on keywords and other attribu

Manage e commerce data programmatically

Integrate Multi Item Search into automated workflows

Query and filter Multi Item Search records by parameters

Monitor Multi Item Search operational status and events

GET STARTED

Start building with Multi Item Search API

Explore with Jentic One

View OpenAPI Document

Use Cases

Patterns agents use Multi Item Search API for, with concrete tasks.

★ E-Commerce Operations

Use the Multi Item Search to perform e commerce operations programmatically. The API provides 1 endpoints covering core functionality including information about retail products, searched based on keywords and other attribu.

Call GET /multiItemsSearchAsync to information about retail products, searched based on keywords and other attribu

Data Retrieval and Monitoring

Query Multi Item Search resources on a schedule to track changes, generate alerts, or feed downstream dashboards. Agents poll relevant endpoints, compare against previous state, and trigger actions when thresholds are crossed.

Poll the primary Multi Item Search endpoint, compare response to last known state, and alert if changed

AI Agent Integration via Jentic

AI agents discover and call Multi Item Search 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 ' information about retail products, searched based on keywords and other attribu', load the operation schema, and execute with Jentic-managed credentials

Key Endpoints

1 endpoints — search retail products based on keywords and other attributes.

METHOD

PATH

DESCRIPTION

GET

/multiItemsSearchAsync

information about retail products, searched based on keywords and other attribu

GET

/multiItemsSearchAsync

information about retail products, searched based on keywords and other attribu

Why Jentic?

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

Setup

Wiring the Multi Item Search API by hand means setting its X-API-KEY and X-APP-ID headers, targeting the Algopix host, and handling the async search call and retries yourself. Through Jentic you install once, import Multi Item Search from the API Directory, store the key and app id once, and your agent calls it.

Permission scoping

Multi Item Search takes its query in request parameters rather than a resource id in the path, so scope the agent to the single async multi-item search operation it exposes. You choose the operations it may call, so nothing beyond that search runs unless you add it.

Credential isolation

Your Multi Item Search key and app id are stored once, encrypted, by your own Jentic One instance and injected at execution time. They never enter the agent's prompt, logs, or context.

Intent-based discovery

Agents search Jentic by intent such as 'search retail products by keyword', and Jentic returns the matching Multi Item Search 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

Shopify

Alternative e commerce API

Choose Shopify when you need a different approach to e commerce operations

Alternative

Stripe

Alternative e commerce API

Choose Stripe when you need a different approach to e commerce operations

FAQs

Specific to using Multi Item Search API through Jentic.

What authentication does the Multi Item Search use?

The Multi Item Search uses an API key passed in the `X-API-KEY` header. Through Jentic, these credentials are stored encrypted in your Jentic One instance and injected at execution time, so raw secrets never enter the agent context.

Can I information about retail products, searched based on keywords and other attribu with the Multi Item Search?

Yes. Use the GET /multiItemsSearchAsync endpoint. The API returns structured JSON responses that agents can parse and act on directly.

What are the rate limits for the Multi Item Search?

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 information about retail products, searched based on keywords and other attribu through Jentic?

Install the Jentic SDK with pip install jentic, authenticate through Jentic One, the self-hosted execution layer, then search for ' information about retail products, searched based on keywords and other attribu'. Jentic returns the matching Multi Item Search operation with its input schema. Load the schema and execute the call - credentials are injected automatically.

How many endpoints does the Multi Item Search have?

The Multi Item Search exposes 1 endpoints covering API operations.

Can I limit what my agent is allowed to do with the Multi Item Search API?

Yes. Because you run Jentic One yourself, your own rules decide which operations and credentials the agent can use. This API exposes a single async multi-item search operation (GET /multiItemsSearchAsync) that takes its query in request parameters, so you scope the agent to just that search and nothing else runs unless you add it. Your API key and app id stay encrypted in your own instance and are injected only at execution time.

Testorg1233322 Multi Item Search

Browse all Swaggerhub Testorg1233322 APIs

AI ReadinessAI-Aware (B)65/100

See full scorecard

Community OpenAPI document · agent-readyE CommerceStorefrontapiKey1 EndpointsREST

Know of an official OpenAPI document? Contribute it →

For Agents

Programmatically information about retail products, searched based on keywords and other attribu. Covers 1 operations with apiKey authentication.

Use for: I need to information about retail products, searched based on keywords and other attribu, Find available e commerce operations, Get the current status of Multi Item Search resources, List all records from Multi Item Search

Not supported: Does not handle payments, communications, or crm - use for e-commerce only.

Search retail products based on keywords and other attributes. The API exposes 1 endpoints secured with apiKey authentication.

Jentic One on Github View OpenAPI Document

Show dimension breakdown

Foundational Compliance

Base layer of spec validity and structural soundness.

Grade: A-Signals: 4

97%

Lint Results

Aggregated quality score from linter diagnostics, weighted by severity.

100%

Resolution Completeness

Percentage of `$ref` references that resolve successfully.

Specification Validity

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

100%

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: C+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).

80%

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: C-Signals: 4

55%

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: C-Signals: 1

50%

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 Multi Item Search to your agent

Capabilities

Start building with Multi Item Search API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs

Testorg1233322 Multi Item Search

Jentic AI Readiness Score

Multi Item Search

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