Go to section
Sponsor
Flow - 4x faster than typing
🎤 Dictation
The front page of AI.Used by 90M+ humans.
Generate image
Tasks
Generate text
Free mode
Trending
Leaderboard
Characters
Mini tools
New
Featured
Lists
Agents
Requests
Jobs
Map
Newsletter
Starter pack
Free tools
Speech to text
Text translator
Remove background
Settings
Edit profile
My tools
Gallery
Dashboard
Inbox
Get featured
Contact TAAFT
For you
Popular
Job impact index
Most saved
Affiliate program
Submit AI tool
Notification preferences
Glossary
Home
Timeline
My profile
Create tool
Deals
Companies
Models
Robots
Papers
Fundraises
Repositories
Devices
Organizations
Events
Prompt Pack
Merchendise
APIs
Features
Tools
Countries
Collections
Videos
Mini tools
New
Featured
Lists
Agents
Requests
Jobs
Map
Newsletter
Starter pack
Free tools
Speech to text
Text translator
Remove background
Settings
Edit profile
My tools
Gallery
Dashboard
Inbox
Get featured
Contact TAAFT
For you
Popular
Job impact index
Most saved
Affiliate program
Submit AI tool
Notification preferences
Glossary
Home
Timeline
My profile
Create tool
Deals
Companies
Models
Robots
Papers
Fundraises
Repositories
Devices
Organizations
Events
Prompt Pack
Merchendise
APIs
Features
Tools
Countries
Collections
Videos
▼ Latest
Kpi
Free mode
100% free
Freemium
Free Trial
Featured matches
-
Detect AI-generated music before it reaches monetization.Open
-
Open
-
Canopy API v2: Faster Amazon data, lower high-volume pricing, and MCP support Canopy API v2 is live. This release is focused on three things: speed, reliability, and making Amazon product data dead simple to plug into AI agents. - MCP server for AI agents. Canopy now ships a native MCP integration alongside our GraphQL and REST APIs. Connect Claude, Cursor, or any MCP-compatible agent to live Amazon product data, search results, pricing, and seller information with a single config entry. No wrapper code, no glue scripts. - Three ways to query, one data layer. GraphQL when you want precise, nested queries in a single request. REST with a full OpenAPI 3.1 spec when you want simple, predictable endpoints. MCP when the consumer is an agent instead of an app. All three run on the same infrastructure and return the same normalized product data. - Performance improvements. We rearchitected request batching and caching across our edge network. Typical product lookups now return in 200ms at p95, and multi-product queries are dramatically faster thanks to smarter request handling. - Data reliability improvements. New retry and validation layers mean fewer empty fields, fewer stale prices, and consistent product schemas across marketplaces. If we return a field, you can trust it. - Lower prices at volume. High-volume tiers got a real price cut. Requests beyond 20K per month now cost up to 50% less, and usage-based billing means you only pay for what you actually pull. Whether you're building price trackers, market research tools, or AI shopping agents, v2 is the fastest way to get structured Amazon data into your product. Start at canopyapi.co. -
Hans Berge🙏 1 karmaMar 11, 2026@Lexi"Finally — an AI cost tool that actually aligns incentives" I've been working in enterprise IT and AI infrastructure for years, and Lexi is one of the most elegantly designed products I've seen in this space. The core insight is simple but powerful: don't charge unless you save money. That alignment alone sets it apart from every other API middleware I've tested. The integration literally took under two minutes — one URL change in our config, and we were live across multiple providers. The cost transparency in the response headers is genuinely useful for us as a team building on top of AI; we can now log, display, and report on exact token costs per request. The O(1) memory compression is the real technical differentiator. Long AI conversations tend to degrade in quality and balloon in cost — Lexi solves both problems simultaneously. For anyone running AI in production at any scale, this is infrastructure you didn't know you were missing. Highly recommended for developers, startups, and enterprise teams alike. -
I would call it a "documentation generator for MCP". Would be great to see support for LM Studio too. Other than that, it looks like this tool already follows the best practices for MCP docs. For example, here is a demo for web scraping with Tavily: https://mcpshowcase.com/p/mcp-server-directory/tavily-mcp-server The docs on how to connect your MCP to different AI assistants are essential, but also a pain to maintain on your own. Also nice to see the auto-generated use cases and sample chats! -
One API to track mentions, sentiment, and visibility across top LLMs.Open
-
-
Verified tools
Other tools
-
it does not give you enough credits to use veo3 which it claim to .
-
You can find the customer service with chat button. Tina help me a lot
-
Great, but it offers ONLY Indian accents of English (no UK/US/AU or International English), and NO pricing visible anywhere. At the same time, there are millions of 100% FREE Open-Source expressive TTS solutions that offer 100s of languages! ;-) THX
