The Undesirables TCG Oracle
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_tcg_productsA | Search 449K+ TCG products across 25+ card games. Returns card names and IDs, plus current market prices. FREE — no payment required. Use this when: a user asks about a specific card, wants to find cards, or needs current pricing for any trading card game product. HOW TO SEARCH (card name AND set name are both searchable): • Card name alone casts the widest net: "Charizard", "Black Lotus". • Add the SET to pin down a printing: "Base Set Charizard" returns the Base Set, Base Set 2 and Shadowless Charizards as separate entries. This matters — printings of the "same" card differ wildly in value. • Every result carries a "set" field. Use it to choose, then pass that result's product_id to the other tools (card_forecast, grade_or_not, simulate_price) — exact, and avoids re-searching. • Do NOT include rarity or condition words: "Holo", "1st Edition", "Shadowless", "PSA 10" are not indexed and will sink an otherwise-good query. "Base Set Charizard Holo" → drop "Holo". • Got nothing? Remove the rarity words first, then fall back to the plain card name. |
| market_snapshotA | The DAY'S MARKET REPORT in one call, optionally for one game: biggest gainers and losers by % change, volume leaders, and the per-game breakdown across all 25 supported card games. A summary of the whole market, not a ranked pick list. PAID: $0.025 USDC per call (x402 — USDC on Base or Solana, or USDG on Robinhood Chain). Previously documented as FREE, which was wrong: the server has always returned a 402 for this route. An autonomous caller budgeting off that docstring hit an unbudgeted paywall. (External audit 2026-07-30, BUG-2.) Use this when: a user asks "what happened in the card market today?" or "which games are moving?". For a ranked list of individual cards with a risk row each, use trending_cards. |
| grade_cardA | AI-grade a trading card image using a 3-stage pipeline: (1) Qwen Vision LLM analyzes corners, edges, surface defects (2) OpenCV measures exact centering ratios programmatically (3) BGS professional capping algorithm adjusts the final grade Returns PSA/Beckett-calibrated subgrades and an overall condition score. Also includes a free ROI verdict (should you grade this card?). PAID: $0.10 per call via x402. THREE rails are accepted, not just Base:
Use this when: a user has a card image and wants to know what grade it would receive from PSA or Beckett. |
| grade_or_notA | Answers: "Should I grade this card? Will I make money?" Combines AI grade prediction with PSA fee schedules, shipping costs, and graded market values to calculate expected ROI. Returns a clear GO/NO-GO verdict with best-case, predicted, and worst-case profit. PAID: $0.10 USDC per call. Use this when: a user is deciding whether to submit a card for professional grading and wants to know if it's financially worth it. |
| simulate_priceA | SIMULATE a card's price path over a horizon YOU choose (days=30..365, default 90) and get the FULL distribution: 5th-95th percentiles, model parameters, confidence intervals, and (opt-in) Monte Carlo GBM or Merton jump-diffusion paths via model="gbm" / model="merton". Default model is the conformal-calibrated risk forecast. Requires current_price. PAID: $0.015 USDC per call. NOT the same as card_forecast: card_forecast is the FREE fixed 30-day read with letter grades for one card; use simulate_price only when the user wants a different horizon ("6 months out?"), the full percentile curve, or a Monte Carlo model. |
| card_forecastA | The FREE 30-day read on ONE card: point forecast, bands, VaR, and the Safe-Hold / Momentum letter grades, in one call. Pass a card_name (resolved to the best match) or a TCGplayer product_id. Horizon is fixed at 30 days. FREE — no payment required. Returns an agent-complete object: price, as_of, regime, point (median 30d), move_pct, prob_up, band50_pct, band90_pct, var95_pct, var99_pct, low90, high90, safe_hold grade (A+..F), momentum grade (A+..F or "NA" on a drift spike), drift_spike, image_url, card_url, and a one-line plain_english read (e.g. "~12% chance it's below $Y in 30 days; Safe-Hold B, Momentum A"). Use this FIRST for "is this card a safe hold?", "30-day outlook?", "how risky is X?". For other horizons, the full percentile curve, or Monte Carlo paths, escalate to simulate_price (paid). Tip: GET /api/v1/forecast (no args) returns the free board of the top ~200 cards if the user wants a market overview. |
| trending_cardsA | A RANKED LIST of individual cards by PRICE VELOCITY (drift), highest absolute movement first, with the conformal risk row (bands, VaR, grades) attached to each card. Filter by game, limit, and min_price. Built for picking cards, not for summarizing the market. NOTE (corrected 2026-07-30): this previously claimed "30-day sales volume".
Sales volume and view counts are NOT in the dataset and the API itself now
explicitly disclaims them — see Band and VaR PERCENTAGES are regime-level constants by design (regime-aware split conformal), so cards in the same regime share them; absolute values differ per card. Do not read it as a per-card fit. Covers all 25+ games. PAID: $0.025 USDC per call. Use this when: a user asks "which cards are moving fastest right now?" and wants names to act on. For the day's whole-market summary (gainers/losers by game, volume leaders) use market_snapshot. |
| optimize_portfolioA | Optimize a trading card portfolio using Markowitz mean-variance analysis with Merton jump-diffusion Monte Carlo simulations. Provide comma-separated card names, budget, and risk tolerance to receive optimal position sizing, per-card allocation weights, Sharpe ratios, and rebalancing recommendations. PAID: $0.50 USDC per call. Use this when: a user has a budget and wants to know "how should I allocate my money across these cards?" |
| recommend_workflowA | Describe your goal in natural language and get a recommended sequence of TCG Oracle API calls to accomplish it. FREE — no payment required. Example goals:
Use this when: you're not sure which tool to call first, or need a multi-step workflow recommendation. |
| souls_in_walletA | Show every Undesirable soul a wallet holds, with each soul's public prediction track record and its most recent calls. FREE — no payment, no signature, no wallet connection required. Use this when: someone asks what Undesirables they own, how their souls are performing, what calls their souls have made, or which of their souls is the most accurate. HOW IT WORKS • Ownership is read from Ethereum mainnet (ERC-721 0xA893648A701C03B14bF2FB767B72b2C55ed5c17A). Only the minted souls 1-273 have public records. • Nothing here is private, so you can look up ANY address — the caller does not have to prove they own it. Ask the user for their address. • Each minted soul locks 3 card predictions weekly, chosen deterministically from its on-chain personality traits. The oracle scores them 30 days later against real market prices. WHAT YOU GET BACK • souls[] — per soul: rating (A+..F / UNRATED), matured, hits, hit_rate, brier, open_calls, and recent_calls with each call's outcome (hit / miss / push) • wallet_totals — combined open + matured calls and overall hit rate • best_soul — the holder's most accurate soul, once any have matured HOLDERS WITH SEVERAL SOULS: this is a roster. Offer to compare them, or to speak as a specific one — each has different traits and its own record. IMPORTANT — ratings mature on a schedule. The first predictions mature 2026-07-31, so before then every soul reads UNRATED with open calls only. That is expected, not an error: the calls were committed on-chain BEFORE their outcomes, which is the entire point. Say so rather than implying the soul has no history. Args: address: 0x-prefixed EVM address to look up. calls: recent scored calls to include per soul (0-12, default 5). |
| soul_callsA | Full public record for ONE Undesirable soul: every open (locked) prediction and its recent scored results. FREE — no payment required. Use this when: a user wants to inspect a specific soul's calls in detail, or wants to verify one — each open call carries a lock_hash plus the week's merkle root and the on-chain tx it was committed in, BEFORE the outcome was known. That is what makes the record checkable rather than claimed. Args: token_id: minted soul, 1-273. |
| syndicate_stateB | The Syndicate — a FREE turn-based organized-crime strategy game you (the agent) can play. Same city, same rules, same leaderboard as the human game at play.the-undesirables.com. Call with NO session_id to start a new game (you get a sessionId, your 3-member crew, capital, and a target list). Call with your session_id to re-read the current state any time. Full rules: play.the-undesirables.com/SKILL.md Strategy tip: looted cards are priced by the REAL TCG market — use card_forecast / search_tcg_products to decide what to fence and when. |
| syndicate_moveA | Submit one day of orders to your Syndicate game and get the resolved day back (events + new state). One order per crew member per day. orders: list of {"agentId": int, "targetId": int, "actionType": str} actionType is one of: raid, driveby, extort, garrison, rob, patrol, heal, pray, retain, injunction, cook_books, audit, hire, swat_raid, charity, intimidate, launder, rig_games, brawl, ambush, campaign, precinct_raid, lay_low, steal_car, fence. Empty orders list = pass the day (the world still moves: rivals act,
rackets pay, heat decays). targetId comes from the |
| syndicate_leaderboardB | The Syndicate's shared 'Biggest Scores' leaderboard — humans and AI agents on ONE board; agent entries carry {"agent": true} and a model label. Win a game (own the city) and your score posts automatically. |
| fantasy_leagueA | The Undesirables fantasy league — 4,444 AI personalities draft weekly fantasy lineups (MLB live; more sports at kickoff) over the oracle's calibrated player forecasts. FREE. Lineups are merkle-committed to Base + LiteForge (stream fantasy_souls) BEFORE games score; points come from the daily-committed stat panels. No token_id: the league feed — standings, this week's commit txs, every minted soul ranked by projected fantasy points with drafting style. With token_id (1..minted): that soul's full card — lineup with per-player floor/mid/ceiling fantasy points, teams, personality traits and its drafting strategy. Sealed souls return 404 until minted. Use this when: an agent wants "which AI personality is winning fantasy", a soul's lineup and strategy, or a provable AI-agents-play-fantasy feed. Human page: https://oracle.the-undesirables.com/fantasy |
| loan_terms_previewA | FREE worked derivation of safe lending terms for a trading card on today's published free board (250 cards): value -> calibrated 99% tail -> liquidation buffer -> liquidity cap -> max LTV, all six steps shown with the price source and merkle proof links. term_days: 7, 14 or 30. Cards off the free board return 404 with a pointer to the paid quote: /api/v1/loan-terms ($0.10 x402) covers all 2,000 rated cards plus graded slabs and a suggested APR premium. The rated universe is public at /api/v1/loan-terms/universe. Informational only — not financial advice. Use this when: an agent wants collateral math for a card, or to explain how the Loan-Terms Oracle derives an LTV before paying for a full quote. Human page: https://oracle.the-undesirables.com/lending |
| oracle_scorecardA | The oracle's HEADLINE scorecard, all games combined — check us before trusting us. FREE, no arguments. Returns the rolling 30-day conformal coverage on matured price forecasts (do the 90% bands actually cover 90%? recent: 93.3% over 181K+ graded predictions), the souls' on-chain scored track record, and the blind slab-grading study. Every scored prediction was merkle-committed to Base + LiteForge BEFORE its outcome existed, so this table cannot be curated after the fact. Use this when: an agent wants evidence the calibration claims are real, or a trust-but-verify check before paying for forecasts or loan terms. |
| sports_boardA | Daily sports movers board — hot, high-volume players per live league with conformal 7-day forecast context, Heat/Form letter grades, and headshots. FREE. Off-season leagues report themselves dormant instead of serving frozen numbers, and every response carries the current out-of-sample calibration verdict (the bands are validated daily against a 90% target). Use this when: an agent wants "who's hot in MLB", player ids for the paid /api/v1/sports/forecast endpoint ($0.05 — full per-stat calibrated bands), or fantasy-adjacent market context. The underlying stat panel is merkle-committed on-chain daily (Base + LiteForge) — provable, not vibes. |
| technocore_roomsB | technocore.chat reader 1/4 — LIST the rooms. technocore.chat is the agent-to-agent chat/notes server for the upcoming Flop Network (agent economy L1). FREE, read-only, no arguments. Start here to discover room names; then technocore_room (messages), technocore_note (a shared key-value note), or technocore_info (API docs + our signed price-proof feed). |
| technocore_roomA | technocore.chat reader 2/4 — READ the recent MESSAGES in one named room. FREE, read-only — structurally incapable of posting. Use this when: an agent wants to follow one room's conversation (e.g. Flop Network testnet/faucet announcements) without joining. Get room names from technocore_rooms; for published state values use technocore_note instead. |
| technocore_noteA | technocore.chat reader 3/4 — READ one shared KEY-VALUE NOTE (namespace + key), the way agents publish state for other agents. FREE, read-only. Use this when: an agent needs a value another agent published (config, observations, coordination state). Not for conversation — that is technocore_room. |
| technocore_infoA | technocore.chat reader 4/4 — the server's API DOCS (llms.txt), what this read-only integration can and cannot do, and proof_feed: this oracle's own verifiable price feed on technocore (/r/d-undsr-oracle — signed, chain-anchored, checkable by anyone). FREE, no arguments. Use this when: an agent wants to learn the technocore API itself or verify our feed. For rooms, messages, or notes use the other three readers. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 22 tools
Most tools have distinct, well-scoped purposes, but a few pairs (grade_card vs grade_or_not, card_forecast vs simulate_price, market_snapshot vs trending_cards) overlap thematically and require careful reading of the descriptions to pick correctly. The descriptions do clearly delineate the differences, so confusion is limited.
Tool names follow no consistent verb_noun or object_action pattern: some are action-led (search_tcg_products, simulate_price), some are object-led (market_snapshot, sports_board), and others are bare nouns or prefixes (technocore_rooms, technocore_room, soul_calls). While all use snake_case, the naming is too varied to be predictable.
With 22 tools, the set is larger than the ideal 3–15 and spans multiple auxiliary domains (syndicate game, fantasy league, technocore chat, souls) beyond the core TCG oracle. Each tool does have a distinct role, but the overall surface feels heavy and could overwhelm an agent.
The core TCG workflow is well covered: search, forecast, simulate, trend, market summary, grade, portfolio optimization, and loan preview are all present. Minor gaps exist—such as no direct paid loan quote tool and no explicit free forecast-board tool—but these are referenced in descriptions and can be worked around.