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APIs/AI/ML

AI/ML APIs

Explore APIs in this category. Connect any of them to your AI agent through Jentic.

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Most Popular

OpenAI API

Generate text, images, embeddings, and audio with 126 endpoints spanning chat completions, assistants, fine-tuning, batch processing, and moderation. Supports GPT-4o, GPT-4, DALL-E 3, Whisper, and TTS models through a single unified REST interface with bearer-token authentication. Handles multi-turn conversations, function calling, vision inputs, and JSON mode for structured outputs.

Anthropic Messages API

Send prompts to Anthropic's Claude models for text generation, reasoning, and code tasks through the Messages API. Two endpoints cover the core flow: POST /messages for synchronous chat completions with system prompts, tool use, and large-context inputs, and POST /messages/count_tokens for cost-aware token estimation before a request is dispatched. Anthropic's documentation accepts either an API key in the X-API-Key header or an Authorization bearer token, and every call also carries a required anthropic-version header plus an optional anthropic-beta header for opting into preview features. Suited to agent workflows that need long-context reasoning, structured tool calls, or precise cost control.

Amazonaws Amazon SageMaker

Jentic publishes the only available OpenAPI specification for Amazon SageMaker, keeping it validated and agent-ready. Amazon SageMaker is AWS's end-to-end machine-learning platform - it provides training jobs, hyperparameter tuning, model packaging, real-time and batch inference endpoints, feature stores, data labelling, AutoML, MLflow-style experiment tracking, model monitoring, and pipeline orchestration. The control-plane API exposed here covers all 300+ operations across the ML lifecycle, from launching a training job to deploying a multi-model endpoint behind production traffic.

Go V7labs V7 Go API

Jentic publishes the only available OpenAPI specification for V7 Go API, keeping it validated and agent-ready. V7 Go is V7 Labs' AI workflow platform for processing unstructured documents into structured data using large language models. The API exposes workspaces, projects, properties, entities, files, hubs, skills, agent builders, MCP integrations, and case management - letting teams automate knowledge work like contract review, claims processing, and document extraction. It supports both API-key and bearer authentication and covers 274 endpoints for orchestrating AI agents, file uploads, tool integrations, and downstream reporting.

Hugging Face Hub API

Jentic publishes the only available OpenAPI specification for the Hugging Face Hub API, keeping it validated and agent-ready. The Hugging Face Hub API is the management surface for everything on huggingface.co outside of model inference - repositories for models, datasets, and Spaces, plus collections, papers, organizations, jobs, inference endpoints, and user settings. Through it an integration can list and search the Hub, create or update repos, manage discussions and pull requests, run scheduled jobs, and configure notifications and webhooks. It is the API that wraps what the official huggingface_hub Python client exposes, in HTTP form.

Google Vertex AI API

The Vertex AI API is Google Cloud's unified surface for training, tuning, deploying, and serving machine learning models, including Google's foundation models such as Gemini and PaLM and customer-trained models. It exposes operations on datasets, training pipelines, models, endpoints, batch prediction jobs, feature stores, indexes, and model lineage. With 202 endpoints, it covers the full MLOps lifecycle from data ingestion through online and batch inference. It is the right tool for teams building production ML systems on Google Cloud rather than just calling a hosted LLM endpoint.

Backend Experteaseai Expertease apis

ExpertEase is a chatbot platform that lets teams build, train, and deploy domain-specific bots powered by Azure OpenAI models. The API exposes 193 endpoints for bot lifecycle management, conversation history, embedding ingestion from files and URLs, integrations with messaging channels, and per-user analytics. Admin operations cover bot transfers, feature requests, support queries, and model availability. Conversations are tracked for analytics including activity, leaderboards, realtime metrics, and per-endpoint usage.

Rebilly REST API

Introduction The Rebilly API is built on HTTP. Our API is RESTful. It has predictable resource URLs. It returns HTTP response codes to indicate errors. It also accepts and returns JSON in the HTTP body. You can use your favorite HTTP/REST library for your programming language to use Rebilly's API, or you can use one of our SDKs (currently available in [PHP](https://github.com/Rebilly/rebilly-php) . The API exposes 184 endpoints secured with apiKey, bearer authentication.

Memara API

The Memara API is an external memory system designed for AI agents and multi-step workflows. It exposes Memory Spaces - scoped containers for facts, documents, and conversation history - together with semantic search, access controls, sharing, and analytics across 171 endpoints. Agents can write memories, retrieve relevant context for a new turn, share spaces with collaborators, and audit usage, which makes Memara a drop-in long-term memory layer for LLM applications that need to outlive a single context window.

ElevenLabs API

Convert text to natural-sounding speech, clone voices, and process audio across 151 endpoints covering text-to-speech, speech-to-speech, voice generation, sound effects, dubbing, and audio isolation. Supports 29+ languages, custom voice creation from audio samples, streaming audio output, and pronunciation dictionaries. Authentication uses the xi-api-key header for all requests.

Affinda API

Jentic publishes the only available OpenAPI specification for Affinda API, keeping it validated and agent-ready. Affinda is a document-AI platform that extracts structured data from resumes, invoices, receipts, IDs, and other document types and supports recruiter-facing resume search, job-description search, and skill-and-occupation taxonomies. Version 3 of the API exposes 140 endpoints covering document upload and parsing, workspaces and document types, validation results, mapping data sources, tags and annotations, webhook subscriptions, and dedicated resume and job-description search engines. Authentication uses a bearer token issued from the Affinda dashboard.

SpotDraft API

SpotDraft Public API API Reference The SpotDraft API is organized around [REST](http://en.wikipedia.org/wiki/Representational_State_Transfer). Our API has predictable resource-oriented URLs, accepts [form-encoded](<https://en.wikipedia.org/wiki/POST_(HTTP)#Use_for_submitting_web_forms>) request bodies, returns [JSON-encoded](http://www.json.org/) responses, and uses standard HTTP response codes, a. The API exposes 134 endpoints secured with apiKey authentication.

Tilled API

The Tilled API is organized around [REST](http://en.wikipedia.org/wiki/Representational_State_Transfer). Our API has predictable resource-oriented URLs, accepts form-encoded request bodies, returns JSON-encoded responses, and uses standard HTTP response codes, authentication, and verbs. You can use the Tilled API in test mode, which does not affect your live data or interact with the banking netwo. The API exposes 114 endpoints secured with apiKey, bearer authentication.

EyePop WebAPI

Jentic publishes the only available OpenAPI specification for EyePop WebAPI, keeping it validated and agent-ready. The EyePop WebAPI is the control plane for the EyePop computer-vision platform, letting customers manage Pops (vision pipelines), upload inputs, attach models, run inference, and administer accounts, API keys and resource pools. Authentication is by Auth0 OAuth 2.0 implicit flow for interactive users or by JWT bearer tokens issued through the API-key endpoints for server-side workloads.

Ziflow API

Welcome to the Ziflow API The Ziflow API is built to allow you to easily and quickly embed Ziflow’s proofing features in your own application or create an integration between Ziflow and any other application. This API is the same one we use to power Ziflow! The API is a RESTful interface, essentially providing programmatic access to the features and data in the system. If you’ve interacted with a . The API exposes 95 endpoints secured with apiKey, basic, bearer authentication.

langfuse

Langfuse is an open-source LLM observability and evaluation platform. The public API records traces, observations, generations, scores, and sessions for LLM-powered applications, and exposes endpoints to run evaluations, manage prompts, datasets, annotation queues, and project-level resources. Teams use it to debug agent runs, measure quality across model versions, and track cost and latency for production LLM workloads. The spec covers 86 operations across observability, prompt management, datasets, evaluations, and project administration.

Amazonaws Amazon Comprehend

Jentic publishes the only available OpenAPI specification for Amazon Comprehend, keeping it validated and agent-ready. Amazon Comprehend is a managed natural language processing service that extracts insights from unstructured text. It detects entities, key phrases, sentiment, targeted sentiment, dominant language, syntax, and personally identifiable information, and supports custom classification and entity recognition models trained on your data. Both real-time analysis and large-scale asynchronous batch jobs are supported, along with topic modeling, document classification, and PII redaction.

Algolia Search API

Jentic publishes the only available OpenAPI specification for the Algolia Search API, keeping it validated and agent-ready. The Search API is Algolia's core surface - 78 endpoints covering query execution, indexing, synonyms, rules, dictionaries, API key management, clusters, vaults, and more. It serves single-index and multi-index queries, faceted filtering, browsing, batch object operations, and admin tasks like settings management and key rotation. The Search API is the foundation that the Recommend, Personalization, and Query Suggestions services build on.

Google Discovery Engine API

Google Discovery Engine (the API behind Vertex AI Search and Vertex AI Conversation) lets developers build retrieval, search, and grounded conversational experiences over their own structured and unstructured data. The API exposes data stores, schemas, documents, completion configs, and grounding/check operations so teams can run semantic search, recommendations, and RAG-grounded chat against enterprise content. It supports custom model training, evaluation, and identity-mapped retrieval.

Arize REST API

Jentic publishes the only available OpenAPI specification for Arize REST API, keeping it validated and agent-ready. The Arize REST API is the programmatic interface to Arize's AI observability and evaluation platform, covering datasets, prompts, projects, spaces, evaluators, experiments, annotation queues, traces (spans), and AI integration management. Seventy-three endpoints let teams script the full lifecycle of evaluating LLM and ML systems - creating datasets, running experiments, annotating outputs, and managing API keys, roles, and integrations across regions or self-hosted deployments.

Amazonaws Amazon Lex Model Building V2

Jentic publishes the only available OpenAPI specification for Amazon Lex Model Building V2, keeping it validated and agent-ready. Lex Model Building V2 is the authoring control plane for Amazon Lex conversational bots - it manages bots, bot versions, locales, intents, slot types, slots, custom vocabulary and aliases, and orchestrates the build, import, export and tagging of those resources. The 71 endpoints cover the full bot lifecycle from CreateBot through BuildBotLocale, intent and slot configuration, custom vocabulary upload, version pinning and alias-based deployment.

Mistral AI API

Jentic publishes the only available OpenAPI specification for Mistral AI API, keeping it validated and agent-ready. The Mistral AI API exposes Mistral's open-weight and proprietary models for chat completion, fill-in-the-middle code generation, embeddings, content classifiers, OCR, agent and conversation orchestration, batch inference, and fine-tuning. It covers 71 endpoints across La Plateforme, including model listing, conversation memory, agent creation, file uploads for training and OCR, and asynchronous batch jobs for high-throughput workloads.

Amazonaws Amazon Kendra

Jentic publishes the only available OpenAPI specification for Amazon Kendra, keeping it validated and agent-ready. Amazon Kendra is a managed enterprise search service that ingests documents from S3, SharePoint, Confluence, Salesforce, ServiceNow, and many other sources, then answers natural-language queries with passage-level results. Its 65 endpoints cover index lifecycle, data source connectors, query and suggestion APIs, FAQ ingestion, access control mappings for tenant-aware results, query suggestions, and featured-results experiences. Kendra is a frequent retrieval layer for enterprise RAG pipelines that need permission-aware document search.

Amazonaws Amazon Rekognition

Jentic publishes the only available OpenAPI specification for Amazon Rekognition, keeping it validated and agent-ready. Rekognition is a managed computer-vision service for image and video understanding: face detection, comparison, and search; object, scene, and label detection; text-in-image (OCR); content moderation; celebrity recognition; PPE detection; and stream-based video analysis. The API surfaces 65 operations across synchronous image analysis, asynchronous video jobs, face-collection management, custom Rekognition Custom Labels project lifecycle, and live-stream processors. It is the canonical AWS API for adding vision intelligence to applications.

Meilisearch v1.0

Jentic publishes the only available OpenAPI specification for Meilisearch v1.0, keeping it validated and agent-ready. Meilisearch is an open-source search engine that delivers fast typo-tolerant full-text search with built-in ranking rules, faceting, and synonyms. The 1.0 API surface exposes 65 endpoints across indexes, documents, search, settings, tasks, key management, stats, and dumps. Use it to build search experiences with millisecond response times, manage per-index ranking rules, and run multi-tenant search through scoped API keys.

Hol Registry Broker API

Hashgraph Online's Registry Broker exposes public HTTP endpoints for agent discovery and federated registry health. The API lets clients run keyword and semantic vector searches across a federated agent registry, look up agent details by Universal Agent ID (UAID), submit feedback, check eligibility, and inspect health, capabilities, facets, and routing data. It is intended for agent runtimes and integration layers that need to discover registered agents, score them, and route requests across federation peers.

CustomGPT.ai

Jentic publishes the only available OpenAPI specification for CustomGPT.ai, keeping it validated and agent-ready. CustomGPT.ai is a no-code platform for building custom ChatGPT-style agents grounded in private business content, with retrieval over uploaded documents and crawled sites. The API exposes 64 endpoints for managing agents (called projects), ingesting and reindexing documents, sending chat completions in OpenAI-compatible format, and tuning persona settings, citations, and conversation history. It also covers labels, plugins, license keys, reports, and per-agent usage limits.

Speak Ai API

Speak Ai API for programmatic media upload, transcription, insights extraction, folder management, recorder management, embeds, webhooks, automations, and user administration. The API exposes 64 endpoints secured with apiKey authentication.

Google Dialogflow API

Google Dialogflow is a conversational AI platform for building chatbots, voice bots, and IVR experiences. The CX (v3) API exposes agents, flows, pages, intents, entity types, webhooks, and test cases so teams can author, version, and continuously evaluate sophisticated multi-turn conversations programmatically. It powers contact-center automation, virtual agents, and voice assistants integrated with telephony providers and websites.

Regiondo API documentation

The Regiondo API (<a href="https://sandbox-api.regiondo.com/docs/Regiondo_API_workflow.png" target="_blank">API Workflow diagram </a>) is organized around <a href="http://en.wikipedia.org/wiki/Representational_state_transfer" target="_blank">RESTful</a>. Our API is designed to have predictable, resource-oriented URLs and to use HTTP response codes to indicate API errors. We use built-in HTTP featu. The API exposes 55 endpoints secured with apiKey authentication.

Langfuse API

Public API for Langfuse, an open source LLM engineering platform that provides observability, metrics, evaluations, prompt management, and a playground for debugging and testing LLM applications. Track generations, spans, and traces across your LLM application stack. Monitor costs, latency, and quality scores with production-grade analytics. Manage and version prompts with a centralized registry that integrates into agent workflows.

Pinn AI API

Pinn AI provides conversational AI infrastructure for building voice and chat assistants with natural language understanding, speech synthesis, multi-turn dialogue management, and knowledge base integration. The API exposes endpoints for intent recognition, entity extraction, dialogue state tracking, response generation, voice synthesis, and conversation analytics. Built for developers creating customer service bots, virtual assistants, voice-enabled applications, and AI-powered support systems.

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