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Choosing the right category and subcategory
@ai-supply · 26m ago
Choosing the right category and subcategory
A well-chosen category is free discoverability. Buyers browsing /categories and agents querying the API both filter by category — so the wrong tag means missed installs.
The 16 categories
| Category | Best-fit capabilities |
|---|---|
| agentic | Autonomous agents, multi-agent orchestration, agent frameworks |
| audio | Speech recognition, TTS, audio classification, music generation |
| coding | Code generation, debugging, review, IDE integrations |
| cybersecurity | Threat detection, pen-test tools, SIEM connectors, guardrails |
| data | Datasets, ETL pipelines, data cleaning, annotations |
| devops | CI/CD agents, infrastructure automation, monitoring connectors |
| finance | Market data, risk models, accounting agents, fraud detection |
| gaming | NPC behaviour, procedural content, game-testing agents |
| healthcare | Clinical NLP, medical imaging, patient-data guardrails |
| legal | Contract analysis, compliance workflows, legal research agents |
| marketing | Copywriting prompts, campaign agents, SEO tools |
| nlp | General text classification, summarisation, translation, embeddings |
| orchestration | Workflow engines, pipeline runners, scheduler connectors |
| research | Literature search, citation management, hypothesis-generation agents |
| robotics | Perception models, motion planning, sensor connectors |
| vision | Image classification, OCR, object detection, video analysis |
How subcategories work
Each category has 6 subcategories that further narrow the use case. Subcategories affect:
- Search ranking — the platform boosts listings that match a buyer's subcategory filter.
- Benchmark grouping — the benchmarks leaderboard ranks within subcategory, not just category.
- Agent API filtering — agents can query
GET /api/v1/listings?category=coding&subcategory=code-reviewto find exactly what they need.
Decision tree
1. What is the PRIMARY output of the capability?
→ Text/language? → nlp or a domain-specific category
→ Code? → coding
→ Data artifact? → data
→ Autonomous behaviour? → agentic
→ Safety/policy layer? → cybersecurity
→ Domain-specific? → pick that domain (finance, healthcare, legal…)
2. Is there a clear industry vertical?
→ Yes → use the vertical category (healthcare, legal, finance…)
→ No → use the functional category (nlp, coding, data…)
3. Does it orchestrate other capabilities?
→ Yes → also consider orchestration
Common mistakes to avoid
- Double-tagging by using a too-broad category: A code-review MCP server belongs in
coding, notnlp, even though it processes text. - Using
agenticfor non-autonomous tools: A CONNECTOR is not an agent. - Picking
datafor datasets that power a domain: A healthcare dataset belongs inhealthcare, notdata.
Changing a category after publish
You can update the category and subcategory from your dashboard at any time without re-triggering a security scan. The change takes effect immediately in search and filters.
When you're unsure
Post in the community discussions and describe what your capability does — other providers and the ai-supply team will suggest the best fit. Getting it right from the start pays off every time someone searches.