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Description
Monid is a tool-call routing platform built specifically for AI agents that need flexible access to many external services without complex integration work. The platform acts as a single skill and shared balance layer, allowing agents to discover, select, and execute calls across more than 200 tools from over 30 providers. Instead of forcing users to manage multiple API accounts or subscriptions, Monid meters each call individually and charges only for actual usage. Agents can search Monid’s registry in natural language to find relevant endpoints, view pricing, understand input schemas, and run the most suitable tool for the task. The platform supports MCP-compatible agents and can be connected to tools such as Claude Code, OpenClaw, and other compatible agent environments. Monid returns normalized, structured JSON responses, making it easier for agents to compare providers and build reliable workflows across different APIs. It can support use cases like e-commerce trend research, B2B lead enrichment, local review monitoring, content research, and automated social listening. By routing tool calls dynamically, Monid allows agents to choose the best endpoint based on context, cost, and output quality. The system is designed to reduce reliance on expensive software subscriptions by letting users pay only for the tool calls that matter. Monid gives builders, teams, and businesses a simpler way to expand agent capabilities without manually wiring every API. Its agent-first approach makes it easier to build autonomous workflows that research, analyze, enrich, monitor, and deliver structured results.
Description
Spoken is an innovative API designed to convert any publicly available podcast into a polished Markdown transcript that includes the actual names of the speakers instead of generic labels like "Speaker 1." With a single API request, users can obtain named, timestamped text that is compatible with LLMs, RAG pipelines, summarizers, and search functionalities. Instead of needing to handle speech-to-text processing and speaker identification on your own, Spoken directly provides transcripts of published podcasts while also identifying speaker names, typically at a cost that is 5-10 times lower for these shows. Users can search by entering text or by pasting a Spotify or YouTube URL, which enhances accessibility. Additionally, the service operates on a pay-per-use basis without requiring a subscription; users will not be billed for unsuccessful calls, and any repeat fetches are provided free of charge. The API is designed to be agent-native, and it comes equipped with an Agent Skill, along with resources like agents.md, llms.txt, and an OpenAPI specification. To help users get started, a free demo key is available, and paid credits can be purchased starting at just $15, making it an attractive option for anyone looking to utilize podcast transcripts efficiently. With its user-friendly features and cost-effective model, Spoken is paving the way for easier access to podcast content.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon
Claude Code
Google
LinkedIn
Model Context Protocol (MCP)
OpenClaw
Reddit
TikTok
X (Twitter)
Integrations
Amazon
Claude Code
Google
LinkedIn
Model Context Protocol (MCP)
OpenClaw
Reddit
TikTok
X (Twitter)
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$15
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Monid
Founded
2026
Country
United States
Website
monid.ai/
Vendor Details
Company Name
Spoken
Founded
2025
Country
Netherlands
Website
spoken.md