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APIs / AI/ML / Meet Xara AI API
Meet Xara AI API logo

Xylox Meet Xara AI API

64
AI ReadinessAI-Aware (B)64/100
See full scorecard
Official vendor OpenAPI document · agent-readyAI/MLLanguage ModelsapiKey5 EndpointsREST

For Agents

Programmatically create transcription, list transcriptions. Covers 5 operations with apiKey authentication.

Use for: I need to transcription, I want to transcriptions, Search for transcription, Find all generate summary

Not supported: Does not handle payments, communications, or crm - use for ai and machine learning only.

Meet Xara AI API for intelligent meeting assistance and communication automation. AI-powered meeting transcription, summarization, and action item extraction. The API exposes 5 endpoints secured with apiKey authentication.

Jentic One on GithubView OpenAPI Document

Install Jentic One Beta

Connect the Meet Xara AI API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Meet Xara AI 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%2Fxylox.co%2Fxylox" | 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%2Fxylox.co%2Fxylox" | 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 Meet Xara AI API.

Create transcription

List transcriptions

Get transcription

Generate summary

Extract action items

Use Cases

Patterns agents use Meet Xara AI API for, with concrete tasks.

★ AI and Machine Learning Operations

Use the Meet Xara AI API to perform ai ml operations programmatically. The API provides 5 endpoints covering core functionality including create transcription, list transcriptions, get transcription.

Call POST /transcriptions to create transcription

Automated Transcriptions Management

Automate transcriptions operations by combining multiple Meet Xara AI API endpoints. Agents can list transcriptions and then get transcription in a single workflow.

Call GET /transcriptions to list transcriptions, then verify the result

AI Agent Integration via Jentic

AI agents discover and call Meet Xara AI 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 'create transcription', load the operation schema, and execute with Jentic-managed credentials

Key Endpoints

5 endpoints — meet xara ai api for intelligent meeting assistance and communication automation.

METHOD

PATH

DESCRIPTION

POST

/transcriptions

Create transcription

GET

/transcriptions

List transcriptions

GET

/transcriptions/{transcription_id}

Get transcription

POST

/summaries

Generate summary

GET

/transcriptions/{transcription_id}/action-items

Extract action items

POST

/transcriptions

Create transcription

GET

/transcriptions

List transcriptions

GET

/transcriptions/{transcription_id}

Get transcription

POST

/summaries

Generate summary

GET

/transcriptions/{transcription_id}/action-items

Extract action items

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.

M

Meet Xara AI API

- AI-Aware (B)
64/100
94
Foundational Compliance
56
Developer Experience & Jentic Compatibility
47
AI-Readiness & Agent Experience
94
Agent Usability
50
Security
100
AI Discoverability
Powered by JenticScoring Framework 1.0.0 | Scoring Engine 0.4.0
Show dimension breakdown
94

Foundational Compliance

Base layer of spec validity and structural soundness.

Grade: A+Signals: 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).

75%

Structural Integrity

Structural correctness score based on schema issues using logarithmic dampening.

56

Developer Experience & Jentic Compatibility

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

Grade: CSignals: 4
0%

Example Density

How richly the API is illustrated with examples.

100%

Example Validity

Percentage of examples that conform to their schemas.

25%

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.

47

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.

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.

56%

Summary Coverage

Coverage of summaries across operations/tags/info.

94

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.

50

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.

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 Meet Xara AI by hand means sending the X-API-Key header on ai-api.xylox.co, polling transcription jobs to completion, and handling retries yourself. Through Jentic you install once, import Meet Xara AI from the API Directory, store the key once, and your agent calls it.

Permission scoping

Meet Xara AI puts the transcription id in the URL path (/transcriptions/{transcription_id}), so a rule can pin your agent to one transcription: it can read that transcription and its action items and nothing else. You choose the operations it may call, so creating new transcriptions or summaries is not included unless you add it.

Credential isolation

Your Meet Xara AI key is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.

Intent-based discovery

Agents search Jentic by intent such as 'transcribe a meeting' or 'get action items', and Jentic returns the matching Meet Xara AI 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

Openai

→

Alternative ai ml API

Choose Openai when you need a different approach to ai ml operations

Alternative

Anthropic

→

Alternative ai ml API

Choose Anthropic when you need a different approach to ai ml operations

Complementary

Cohere

→

Complementary ai ml API

Choose Cohere when you need a complementary approach to ai ml operations

Complementary

Huggingface

→

Complementary ai ml API

Choose Huggingface when you need a complementary approach to ai ml operations

FAQs

Specific to using Meet Xara AI API through Jentic.

What authentication does the Meet Xara AI API use?

The Meet Xara AI API 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 create transcription with the Meet Xara AI API?

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

What are the rate limits for the Meet Xara AI 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 create transcription through Jentic?

Install the Jentic SDK with pip install jentic, authenticate through Jentic One, the self-hosted execution layer, then search for 'create transcription'. Jentic returns the matching Meet Xara AI API operation with its input schema. Load the schema and execute the call - credentials are injected automatically.

How many endpoints does the Meet Xara AI API have?

The Meet Xara AI API exposes 5 endpoints covering transcriptions, summaries, action items operations.

Can I limit what my agent is allowed to do with the Meet Xara AI API?

Yes. Because you self-host Jentic One, your own rules decide which Meet Xara AI operations and credentials the agent may use. Since the transcription id sits in the URL path (/transcriptions/{transcription_id}), you can pin the agent to a single transcription so it only reads that transcription and its action items and nothing else. Operations like creating transcriptions (POST /transcriptions) or generating summaries (POST /summaries) are excluded unless you explicitly grant them.

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Start building with Meet Xara AI API

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View OpenAPI Document