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.
242 APIs in this kitAPIs in the Model Kit
242 servicesGenerate Product Introduction API
Generate a product introduction from your content, with language, length, and tone options. Poll the job status URL and collect the finished copy.
SharpAPIVerifiedSkills Database API
Look up skills by name and page through the full skills list. Returns skill IDs, names, slugs, related skills, and pagination metadata.
SharpAPIVerifiedGlobal Salary Benchmark API
Estimate a market salary range from job title, location, and resume content. Returns market context plus minimum, maximum, and currency.
Sumalya APIsVerifiedJob Description Generator API
Generate structured job descriptions from a title and hiring context. Returns requirements, responsibilities, and a short summary for HR teams.
SharpAPIVerifiedCandidate Comparison API
Compare two resumes against a job title and get a winner, rationale, and skill-by-skill matrix for hiring review and shortlist ranking.
Sumalya APIsVerifiedRelated Skills Generator API
Generate related job positions or skills from a role name. Returns ranked results with weights through an async job status response.
SharpAPIVerifiedBias and Inclusion Scan API
Review job description text for bias and inclusion issues. Returns a verdict, rationale, and comparison matrix for hiring copy checks.
Sumalya APIsVerifiedProofread Text + Grammar Check API
Send text and get it back with grammar and spelling mistakes fixed. An AI proofreading API for drafts, support replies and user content. Try it free.
SharpAPIVerifiedCareer Trajectory and Loyalty API
Turn resume history into a trajectory summary, career gaps, pivots, and a loyalty score. Built for recruiter screening and candidate review.
Sumalya APIsVerifiedSEO Tags Generator API
Generate SEO meta tags from page content, with optional language and tone of voice. Returns a job ID, status URL, and the finished meta_tags.
SharpAPIVerifiedExtract and Translate Article Content from Web Page API
Translate a web article from its URL into any target language. Returns the translated title, author, publication name, and full body text.
Sumalya APIsVerifiedResume/CV Job Match Score API
Compare a resume file against a plain-text job description. Returns match scores, explanations, and job status for recruiter screening and ATS.
SharpAPIVerifiedWhich 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.