Model Kit.
2 · UnderstandEvery model you need, behind one interface. Build on the best model for each job and switch when something better or cheaper arrives. Your product keeps running while the model landscape keeps moving.
123 APIs in this kitAPIs in the Model Kit
123 servicesConvert JSON to YAML API
Convert JSON from a body, file, or URL into YAML. Get plain text, a downloadable .yaml file, or a pre-signed S3 URL.
Convert JSON to GraphQL Schema API
Convert raw JSON, JSON files, or JSON URLs into GraphQL SDL. Get inline text, a .graphql download, or a pre-signed S3 URL.
Convert JSON to Zod Schema API
Generate Zod schemas from raw JSON, files, or URLs. Returns `.ts` files, S3 URLs, or explain output for TypeScript validation.
Convert JSON to Mongoose Schema API
Convert raw JSON, a JSON URL, or an uploaded file into Mongoose schema code. Returns JS or TS output with inference metadata, warnings, and confidence.
Convert XML to CSV API
Convert uploaded XML files or raw XML into CSV text, downloadable files, or signed URLs. Useful for feeds, ETL, and spreadsheet imports.
Convert XML to JSON API
Convert raw XML, XML files, or XML URLs into inline JSON, downloadable files, or pre-signed S3 URLs. Useful for feeds and backends that need JSON output.
Convert JSON to Prisma Schema API
Convert JSON objects, URLs, or files into Prisma schema text or .prisma downloads. Generate starter models from existing data structures.
Convert YAML to JSON API
Convert YAML from raw content, uploaded files, or URLs into JSON. Returns inline JSON, a JSON file, or a pre-signed download link.
Convert JSON to XML API
Convert JSON from a body, file, or URL into XML. Get raw XML, a downloadable .xml file, or a pre-signed S3 URL.
Convert CSV to XML API
Convert CSV from text, file, or URL into XML. Get inline XML, a downloadable file, or a pre-signed S3 URL for downstream workflows.
Convert Markdown to JSON API
Convert Markdown from raw text, uploads, or URLs into structured JSON. Use it for docs ingestion, parsing, and content migration workflows.
Fuzzy Text Search API
Compare a search term against a space-separated target string and get matched words back. Supports accent-insensitive and Unicode-normalized matching.
Which Model API do you need?
The question you arrived with, and the API that answers it.
What is the Model Kit?
The Model Kit is the model layer of your product: chat, reasoning, summarization and classification through one consistent interface across providers.
You choose the right model per task, compare cost and quality, and move fast when the market shifts, without rebuilding integrations each time.
How AI products use it
- Send chat to one provider and summaries to another, through the same interface.
- Switch providers when price or quality changes, without rewriting code.
- Add new models as they launch while your integration stays the same.
Why not build it in-house?
Each capability in the Model Kit looks simple to build. The hard part is keeping it accurate, available and up to date once your product depends on it.
- Provider integrationsEach LLM provider has its own SDK, auth, error codes and rate limits. Every one you add is another integration to keep current.
- Model churnNew models launch and old ones are retired every few months. Each switch means re-testing prompts, outputs and costs across your product.
- Outages and rate limitsWhen a provider slows down or goes down, your product does too, unless you have built retries, fallbacks and quota handling yourself.
- Cost trackingToken prices differ per model and change often. Knowing what each feature costs you needs metering you have to build and maintain.
Do you run an API that belongs in the Model Kit?
Publish it on ApyHub and put it in front of the teams and AI agents building with the Model Kit. Your API joins the catalog under one subscription, becomes callable through MCP, and earns from every call.
Questions about the Model Kit
What is the ApyHub Model Kit?
The Model Kit is the model layer of your product: chat, reasoning, summarization and classification through one consistent interface across providers.
What is an LLM API?
An LLM API lets your software send prompts or chat messages to a large language model and receive generated text back. It is how AI products add chat, summaries, classification and agent reasoning.
Is the Model Kit OpenAI-compatible?
Yes. Chat Completion Generation follows the OpenAI chat format, so code written for OpenAI-style chat completions works with minimal changes.
Can I choose the model provider per request?
Yes. You choose the provider on each request, so you can route different tasks to different providers and switch when price or quality changes.
When should I use the advanced chat completion API?
Use Advanced Chat Completion Generation when you need tools, streaming, web search or structured output. Use Simple Chat Prompt for a single prompt and response.
Can I test Model Kit APIs before integrating them?
Yes. Every API has a Try it panel on its service page. Your key is filled in, you send a real request and see the actual response in your browser before you write any code.
Can AI agents use the Model Kit?
Yes. Every endpoint is MCP-ready. Connect ApyHub MCP to Claude, ChatGPT, Cursor, Mistral Le Chat or any MCP-compatible agent, and your agent can discover and call these APIs directly.
How is it priced?
Every kit sits under one subscription, paid in atoms, ApyHub's usage unit. Every call shows its cost, and the free Starter plan needs no card.