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The Undesirables TCG Oracle

io.github.sailorpepe/undesirables-mcp-server
Comercio y retail Finanzas e inversión Gaming Público y accesible MCP 2025-11-25

Qué hace este MCP

Provides trading-card search, market and graded-slab pricing, price forecasts, grading analysis, ROI and lending calculations, sports forecasts, fantasy features, and a strategy game.

Capacidades

Herramientas

27 herramientas
card_forecast
FROZEN INPUTS since 2026-09-07: the USD price series stopped, so this read is issued from the last published price and the response carries a top-level usd_panel {frozen: true, as_of}. Say "last published", never "today". 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.
Esquema de entrada 
{'type': 'object', 'title': 'card_forecastArguments', 'properties': {'card_name': {'type': 'string', 'title': 'Card Name', 'default': ''}, 'product_id': {'type': 'integer', 'title': 'Product Id', 'default': 0}}}
census_summary
The observed graded-slab CENSUS as totals: how many PSA/BGS/CGC/TAG slabs the oracle tracks circulating on the open market (cert-verified — what is listed and pressing on price, NOT a pop report), unique certs, cards covered, grader mix, active-30d counts. FREE, daily, census leaves committed on-chain. The per-card census with median asks is the paid /api/v1/census ($0.05). Use this when: sizing supply behind a grade, or judging how thin a slab market is before trusting an ask.
Esquema de entrada 
{'type': 'object', 'title': 'census_summaryArguments', 'properties': {}}
fantasy_league
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
Esquema de entrada 
{'type': 'object', 'title': 'fantasy_leagueArguments', 'properties': {'token_id': {'type': 'integer', 'title': 'Token Id', 'default': 0}}}
grade_card
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: - USDC on Base (eip155:8453) - USDC on Solana (solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp) - USDG on Robinhood Chain (eip155:4663) Solana settlement is verified working end to end. (Audit 2026-07-30, BUG-12.) Use this when: a user has a card image and wants to know what grade it would receive from PSA or Beckett.
Esquema de entrada 
{'type': 'object', 'title': 'grade_cardArguments', 'required': ['image_url'], 'properties': {'game': {'type': 'string', 'title': 'Game', 'default': 'Pokemon'}, 'image_url': {'type': 'string', 'title': 'Image Url'}}}
graded_asks
GRADED SLAB asking prices for one card — PSA/BGS/CGC medians by grade with listing counts, low/high, an as-of date per grade and the explicit price_basis (these are eBay ASKS, not sold prices; asks are a ceiling). FREE, refreshed daily by the eBay enrichment, merkle-committed on GradedPriceOracle. The LIVE value layer while the USD raw-card panel is frozen — and the basis the graded- slab loan terms are built on. product_id = TCGplayer id from search. Use this when: "what does a PSA 10 of this go for?", "raw vs graded premium?", or before loan_terms_preview / the paid /api/v1/loan-terms quote.
Esquema de entrada 
{'type': 'object', 'title': 'graded_asksArguments', 'required': ['product_id'], 'properties': {'product_id': {'type': 'integer', 'title': 'Product Id'}}}
grade_or_not
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.
Esquema de entrada 
{'type': 'object', 'title': 'grade_or_notArguments', 'required': ['card_name'], 'properties': {'card_name': {'type': 'string', 'title': 'Card Name'}, 'raw_price': {'type': 'number', 'title': 'Raw Price', 'default': 0.0}, 'service_tier': {'type': 'string', 'title': 'Service Tier', 'default': 'regular'}, 'predicted_grade': {'type': 'number', 'title': 'Predicted Grade', 'default': 0.0}}}
jp_summary
The JAPANESE card market today, as numbers — no card names or prices. How many cards the dealer panel priced this morning (365K+ across 24 games, ~167K carrying BOTH an ask and a buyback bid), the dealer bid as a share of ask at each price band (a bulk floor under ~¥300, a real quote above), depth per game, how much of the board actually moved since yesterday and a week ago, and the day's Merkle root with both chain txs. FREE, refreshes once per ingest day. The only Japanese panel that is LIVE while the USD panel is frozen. Use this when: "what did the Japanese market do today?", "is the dealer paying more or less for cards this week?", or before reasoning about any single Japanese card — the per-card page is /jp/card/{game}/{set_code}/{card_id} (HTML, one card per request; there is deliberately no listing route).
Esquema de entrada 
{'type': 'object', 'title': 'jp_summaryArguments', 'properties': {}}
loan_terms_preview
FREE worked derivation of safe lending terms for a GRADED SLAB (v2, 2026-09-12): live slab value (realized sales > delisting-inferred sales > ask median x 0.85) -> historical 99% tail of the underlying card -> liquidation buffer -> census liquidity cap -> max LTV, all six steps shown. grade e.g. "PSA 10"; omitted = the slab's deepest-census grade. term_days: 7, 14 or 30. Only free-board slabs (top 250 by census depth) return the derivation; others return 404 pointing at the paid quote /api/v1/loan-terms ($0.10 x402, ~1,100 rated slabs). Raw-card quotes are no longer issued — the USD level froze 2026-09-07. Universe: /api/v1/loan-terms/universe. Informational only — not financial advice. Use this when: an agent wants collateral math for a slab, 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
Esquema de entrada 
{'type': 'object', 'title': 'loan_terms_previewArguments', 'required': ['product_id'], 'properties': {'grade': {'type': 'string', 'title': 'Grade', 'default': ''}, 'term_days': {'type': 'integer', 'title': 'Term Days', 'default': 30}, 'product_id': {'type': 'integer', 'title': 'Product Id'}}}
loan_universe
The graded slabs the Loan-Terms Oracle will quote, best collateral first — grade, live ask median, census depth, liquidity tier (deep/moderate/thin/ illiquid), rank, and a free_board flag (top 250 by census depth carry a free worked derivation via loan_terms_preview). FREE. v2 (2026-09-12): graded slabs only — raw-card quotes stopped when the USD level froze 2026-09-07. Returns a PAGE, not the whole book: the full universe is ~1,400 slabs and serialises to ~500 KB, which would swamp an agent's context in one call. `total_matching` and `returned` tell you what you are looking at. limit rows to return (default 50, max 500) tier 'deep' | 'moderate' | 'thin' | 'illiquid' free_board_only True to keep only slabs with a free worked derivation min_value_usd drop slabs whose ask median is below this (0 = no floor) Use this when: an agent needs a product_id + grade to ask for terms, or wants to know which collateral is deep enough to lend against at all.
Esquema de entrada 
{'type': 'object', 'title': 'loan_universeArguments', 'properties': {'tier': {'type': 'string', 'title': 'Tier', 'default': ''}, 'limit': {'type': 'integer', 'title': 'Limit', 'default': 50}, 'min_value_usd': {'type': 'number', 'title': 'Min Value Usd', 'default': 0.0}, 'free_board_only': {'type': 'boolean', 'title': 'Free Board Only', 'default': False}}}
market_snapshot
SUSPENDED 2026-09-12: the USD price panel behind this tool froze on 2026-09-07. The oracle answers 200 {"status": "suspended"} with the reason, resume condition and live alternatives, and does NOT charge. The tool is kept so it resumes automatically the day a live USD series exists. Prefer: loan_terms_preview (graded slabs, live), sports_board (live), or the free Japanese two-sided page /jp/card/{game}/{set}/{card}. 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.
Esquema de entrada 
{'type': 'object', 'title': 'market_snapshotArguments', 'properties': {'game': {'type': 'string', 'title': 'Game', 'default': ''}}}
optimize_portfolio
SUSPENDED 2026-09-12: the USD price panel behind this tool froze on 2026-09-07. The oracle answers 200 {"status": "suspended"} with the reason, resume condition and live alternatives, and does NOT charge. The tool is kept so it resumes automatically the day a live USD series exists. Prefer: loan_terms_preview (graded slabs, live), sports_board (live), or the free Japanese two-sided page /jp/card/{game}/{set}/{card}. 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?"
Esquema de entrada 
{'type': 'object', 'title': 'optimize_portfolioArguments', 'required': ['cards'], 'properties': {'days': {'type': 'integer', 'title': 'Days', 'default': 90}, 'cards': {'type': 'string', 'title': 'Cards'}, 'budget': {'type': 'number', 'title': 'Budget', 'default': 1000.0}, 'risk_tolerance': {'type': 'string', 'title': 'Risk Tolerance', 'default': 'moderate'}}}
oracle_scorecard
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.
Esquema de entrada 
{'type': 'object', 'title': 'oracle_scorecardArguments', 'properties': {}}
recommend_workflow
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: - "I have 50 raw Pokémon cards and $500 budget" - "Is this Charizard worth grading?" - "Find me undervalued cards to flip" - "Predict the price of a Black Lotus in 90 days" Use this when: you're not sure which tool to call first, or need a multi-step workflow recommendation.
Esquema de entrada 
{'type': 'object', 'title': 'recommend_workflowArguments', 'required': ['goal'], 'properties': {'goal': {'type': 'string', 'title': 'Goal'}}}
search_tcg_products
NOTE 2026-09-12: USD market prices in results are FROZEN at 2026-09-07 (feed stopped); the response carries usd_panel {frozen, as_of}. Names/ids are current. Search 456K+ TCG products across 25+ card games. FRESHNESS: USD prices are currently FROZEN at their last good date — the upstream feed is unavailable. Every price carries its own as-of date and the oracle root publishes live panel state under `panels`. A Japanese-print panel (24 games, ~364K cards, ~167K with BOTH an ask and a dealer buyback bid) refreshes every morning. Do not present a USD price as current. 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.
Esquema de entrada 
{'type': 'object', 'title': 'search_tcg_productsArguments', 'required': ['query'], 'properties': {'game': {'type': 'string', 'title': 'Game', 'default': ''}, 'limit': {'type': 'integer', 'title': 'Limit', 'default': 10}, 'query': {'type': 'string', 'title': 'Query'}}}
simulate_price
SUSPENDED 2026-09-12: the USD price panel behind this tool froze on 2026-09-07. The oracle answers 200 {"status": "suspended"} with the reason, resume condition and live alternatives, and does NOT charge. The tool is kept so it resumes automatically the day a live USD series exists. Prefer: loan_terms_preview (graded slabs, live), sports_board (live), or the free Japanese two-sided page /jp/card/{game}/{set}/{card}. 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.
Esquema de entrada 
{'type': 'object', 'title': 'simulate_priceArguments', 'required': ['card_name', 'current_price'], 'properties': {'days': {'type': 'integer', 'title': 'Days', 'default': 90}, 'model': {'type': 'string', 'title': 'Model', 'default': 'conformal'}, 'card_name': {'type': 'string', 'title': 'Card Name'}, 'simulations': {'type': 'integer', 'title': 'Simulations', 'default': 20000}, 'current_price': {'type': 'number', 'title': 'Current Price'}}}
soul_calls
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: a minted soul. Valid ids run 1..total_minted, where total_minted is read live from GET / on the oracle (274 on 2026-09-12; it grows as souls mint — never hardcode it).
Esquema de entrada 
{'type': 'object', 'title': 'soul_callsArguments', 'required': ['token_id'], 'properties': {'token_id': {'type': 'integer', 'title': 'Token Id'}}}
souls_in_wallet
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..total_minted (from GET / on the oracle) 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).
Esquema de entrada 
{'type': 'object', 'title': 'souls_in_walletArguments', 'required': ['address'], 'properties': {'calls': {'type': 'integer', 'title': 'Calls', 'default': 5}, 'address': {'type': 'string', 'title': 'Address'}}}
sports_board
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.
Esquema de entrada 
{'type': 'object', 'title': 'sports_boardArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 10}, 'league': {'type': 'string', 'title': 'League', 'default': ''}}}
sports_players
The sports player directory — ids, names, teams and positions for the leagues currently ON THE BOARD (a league appears once it is in season with enough games for the panel; off-season leagues are absent, not stale), the ids the paid /api/v1/sports/forecast ($0.05) and the fantasy league key on. FREE. Filter by league (mlb, nba, ncaab, ncaaf, nfl, nhl) and/or a name fragment; an absent league returns zero players, which is the honest answer. Use this when: an agent has a player name and needs the id, or wants to enumerate a league's roster on the stat panel.
Esquema de entrada 
{'type': 'object', 'title': 'sports_playersArguments', 'properties': {'query': {'type': 'string', 'title': 'Query', 'default': ''}, 'league': {'type': 'string', 'title': 'League', 'default': ''}}}
syndicate_leaderboard
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.
Esquema de entrada 
{'type': 'object', 'title': 'syndicate_leaderboardArguments', 'properties': {}}
syndicate_move
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 `targets` and `territory` lists in syndicate_state.
Esquema de entrada 
{'type': 'object', 'title': 'syndicate_moveArguments', 'required': ['session_id', 'orders'], 'properties': {'orders': {'type': 'array', 'items': {}, 'title': 'Orders'}, 'session_id': {'type': 'string', 'title': 'Session Id'}}}
syndicate_state
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.
Esquema de entrada 
{'type': 'object', 'title': 'syndicate_stateArguments', 'properties': {'session_id': {'type': 'string', 'title': 'Session Id', 'default': ''}}}
technocore_info
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.
Esquema de entrada 
{'type': 'object', 'title': 'technocore_infoArguments', 'properties': {}}
technocore_note
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.
Esquema de entrada 
{'type': 'object', 'title': 'technocore_noteArguments', 'required': ['namespace'], 'properties': {'key': {'type': 'string', 'title': 'Key', 'default': ''}, 'namespace': {'type': 'string', 'title': 'Namespace'}}}
technocore_room
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.
Esquema de entrada 
{'type': 'object', 'title': 'technocore_roomArguments', 'required': ['room'], 'properties': {'room': {'type': 'string', 'title': 'Room'}, 'limit': {'type': 'integer', 'title': 'Limit', 'default': 20}}}
technocore_rooms
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).
Esquema de entrada 
{'type': 'object', 'title': 'technocore_roomsArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 50}}}
trending_cards
SUSPENDED 2026-09-12: the USD price panel behind this tool froze on 2026-09-07. The oracle answers 200 {"status": "suspended"} with the reason, resume condition and live alternatives, and does NOT charge. The tool is kept so it resumes automatically the day a live USD series exists. Prefer: loan_terms_preview (graded slabs, live), sports_board (live), or the free Japanese two-sided page /jp/card/{game}/{set}/{card}. 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 `ranked_by` in the response. 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.
Esquema de entrada 
{'type': 'object', 'title': 'trending_cardsArguments', 'properties': {'game': {'type': 'string', 'title': 'Game', 'default': ''}, 'limit': {'type': 'integer', 'title': 'Limit', 'default': 25}, 'min_price': {'type': 'number', 'title': 'Min Price', 'default': 0.0}}}
Historial

Cambios recientes en herramientas

Modificado
loan_universe
27 de September de 2026 a las 02:49
Añadido
technocore_info
17 de September de 2026 a las 12:52
Añadido
technocore_note
17 de September de 2026 a las 12:52
Añadido
technocore_room
17 de September de 2026 a las 12:52
Añadido
technocore_rooms
17 de September de 2026 a las 12:52
Añadido
sports_board
17 de September de 2026 a las 12:52
Añadido
sports_players
17 de September de 2026 a las 12:52
Añadido
census_summary
17 de September de 2026 a las 12:52
Añadido
loan_universe
17 de September de 2026 a las 12:52
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graded_asks
17 de September de 2026 a las 12:52
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jp_summary
17 de September de 2026 a las 12:52
Añadido
oracle_scorecard
17 de September de 2026 a las 12:52
Añadido
loan_terms_preview
17 de September de 2026 a las 12:52
Añadido
fantasy_league
17 de September de 2026 a las 12:52
Añadido
syndicate_leaderboard
17 de September de 2026 a las 12:52
Añadido
syndicate_move
17 de September de 2026 a las 12:52
Añadido
syndicate_state
17 de September de 2026 a las 12:52
Añadido
soul_calls
17 de September de 2026 a las 12:52
Añadido
souls_in_wallet
17 de September de 2026 a las 12:52
Añadido
recommend_workflow
17 de September de 2026 a las 12:52
Añadido
optimize_portfolio
17 de September de 2026 a las 12:52
Añadido
trending_cards
17 de September de 2026 a las 12:52
Añadido
card_forecast
17 de September de 2026 a las 12:52
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simulate_price
17 de September de 2026 a las 12:52
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grade_or_not
17 de September de 2026 a las 12:52
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grade_card
17 de September de 2026 a las 12:52
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market_snapshot
17 de September de 2026 a las 12:52
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search_tcg_products
17 de September de 2026 a las 12:52
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