When a player asks an AI to recommend a game, the agent has to work with whatever it found during training — scattered reviews, store descriptions, Reddit threads.
That information is inconsistent, often stale, and not structured for agent reasoning. Barcode curates the specific fields that make recommendations useful: what kind of player will love this game, what kind should skip it, what hardware they actually need, and what the honest current caveats are.
Then it exposes all of that via MCP — the protocol that lets AI agents query structured data the way humans use search engines.
Four Tools, V1
How Records Are Built
Most of the fields agents actually need for a good recommendation — comparable titles, player fit, honest caveats, skill ceiling, session length — don't exist in structured form anywhere. Store pages describe features. Reviews describe impressions. Neither is structured for agent reasoning.
Barcode curates these fields editorially and maintains them consistently across titles. A few field types are worth knowing:
| Evergreen | Changes rarely. Developer, genre, base price, release date. Agents can cache these. |
| Perishable | Short half-life. Player population, community sentiment, hardware notes for newly released devices. Each field carries its own lastVerified and decayRate. |
| Editorial | Requires human judgment applied consistently across titles. Comparable games, player fit, skill profile, honest caveats. The core of Barcode's value. |
| Live pointer | Barcode defers to better real-time sources — pricing, player counts, review scores. The record carries the pointer. Not the data. |
What Barcode Doesn't Own
- Current pricing Steam, Epic, PlayStation Store — real-time, directly transactable.
- Live player counts SteamDB, SteamSpy — authoritative and free.
- Review scores Metacritic, OpenCritic — established authority, aggregated.
- Patch notes Developer sites — always the primary source.
- Breaking news Answer engines — always fresher.
Every game record includes a liveDataSources block pointing agents to these sources directly. Barcode is the stable intelligence layer above them — not a competitor to any of them.
Catalog Scope — V1
The initial catalog covers PC and console titles across the genres where agent-assisted discovery adds the most value — games with steep learning curves, complex DLC ecosystems, or genre blends that are genuinely hard to evaluate without playing them first.
Tags with dotted borders are player attributes, not genres — a game can be a free-to-play multiplayer survival RPG.
What a Record Looks Like
This is the matching block from a real catalog record — the fields an agent uses to decide whether to recommend a game or route the player elsewhere. Every record in the catalog has this, curated editorially.
The liveDataSources block at the bottom is how Barcode handles perishable data — maintain the pointer, not the value. An agent reading this record knows exactly where to go for current pricing and player counts without Barcode trying to track them.
For Agents & Developers
Discovery-level data is openly accessible — no account required. Deeper qualification and transactional data requires registration. Each vertical documents what's available at each tier. The broader Barcode vision lives at getbarcode.ai.
Is your game missing from the registry?
Any PC or console game in our catalog scope can apply for a record. Discovery-level listings are free. We review every submission and reach out to discuss fit and next steps — no automated pipeline yet, just a real conversation.
We're building toward assisted onboarding — give us your URLs and we'll do most of the legwork.