此 MCP 可以做什么
Analyzes Polymarket and Kalshi markets for insider-trading signals, market integrity risks, sanctions and PEP exposure, conflicts of interest, and suspicious activity reporting.
功能
工具
41
工具
pg_adverse_media_entity
Adverse media scan — negative news on fraud, money laundering, corruption, sanctions. Delegates to AMLOracle. Core building block for evidence chains that link a wallet or trader to publicly reported concerns (always cite the source, never attribute).
输入模式
{'type': 'object', 'required': ['name'], 'properties': {'lang': {'type': 'string', 'description': 'Optional language (e.g. en, de)'}, 'name': {'type': 'string', 'description': 'Person or entity name'}, 'limit': {'type': 'integer', 'description': 'Max results (default upstream)'}}, 'additionalProperties': False}
pg_classified_keyword_match
Daily compliance triage: scans top Polymarket markets by 24h volume and flags those whose question text matches curated sensitive-keyword categories — military action, regime change, leadership death, diplomacy, intelligence ops, monetary policy, regulatory action. Returns flagged markets with monitoring severity (HIGH/MEDIUM/LOW), matched categories and keywords, and volume. Pair flagged HIGH markets with pg_insider_signal_scan for active surveillance.
输入模式
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'default': 25, 'description': 'Max markets to scan (default 25, max 100)'}, 'category': {'type': 'string', 'description': 'Optional: filter to one category (military_action, regime_change, leadership_death, diplomacy, intelligence, monetary_policy, regulatory_action)'}}, 'additionalProperties': False}
pg_evidence_bundle_market
Complete forensic dossier for a single Polymarket market: market details + integrity scan + volume anomaly profile + Trust Layer provenance trace — aggregated into one dossier ready for manual review, press inquiry, or as input to a SAR report.
输入模式
{'type': 'object', 'properties': {'id': {'type': 'string', 'description': 'Market id / conditionId'}, 'slug': {'type': 'string', 'description': 'Market slug'}}, 'additionalProperties': False}
pg_information_advantage_score
Composite A-F rating for whether a wallet appears to have had non-public information on a specific market. Aggregates pg_position_timing_anomaly (50% weight) + pg_insider_signal_scan (30%) plus bonuses for being in top positioners (+10), new to market (+10), and sensitive category (+10). Returns letter grade A-F, composite score 0-100, all component scores, and interpretation guide. Pattern-matches reported cases (Van Dyke, Hyperliquid whale). Statistical signal only — not a legal determination.
输入模式
{'type': 'object', 'required': ['wallet'], 'properties': {'id': {'type': 'string', 'description': 'Market id / conditionId'}, 'slug': {'type': 'string', 'description': 'Market slug'}, 'wallet': {'type': 'string', 'description': 'Wallet to score (0x + 40 hex)'}}, 'additionalProperties': False}
pg_insider_alert_signed
Issue a cryptographically signed, on-chain anchored integrity alert for a Polymarket market. Combines evidence_anchor + get_signed_fact from FeedOracle Trust Layer. Alerts are anchored on Polygon with an ECDSA signature and are externally verifiable via pg_verify_alert and the JWKS at feedoracle.io/.well-known/jwks.json.
输入模式
{'type': 'object', 'required': ['market_slug', 'claim'], 'properties': {'claim': {'type': 'string', 'description': 'Short human-readable claim being asserted'}, 'signals': {'type': 'array', 'items': {'type': 'string'}, 'description': 'List of integrity signals triggered'}, 'wallets': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Optional list of related wallet addresses'}, 'severity': {'enum': ['LOW', 'MEDIUM', 'HIGH', 'CRITICAL'], 'type': 'string', 'default': 'MEDIUM', 'description': 'Alert severity'}, 'market_slug': {'type': 'string', 'description': 'Polymarket market slug'}}, 'additionalProperties': False}
pg_insider_signal_scan
Real-time insider-trading signal scan for a single Polymarket market. Aggregates 5 signals: (1) very large pre-event positions, (2) high ratio of wallets new to this market, (3) coordinated minute-bucket timing clusters, (4) one-sided positioning, (5) sensitive-keyword category match (military/regime/intel). Returns a 0-100 score (CLEAN/LOW/MEDIUM/HIGH/CRITICAL), triggered signals with evidence, top 5 positioners with new-wallet flag, and full methodology for audit. Default window = 72h before market end.
输入模式
{'type': 'object', 'properties': {'id': {'type': 'string', 'description': 'Market id / conditionId'}, 'slug': {'type': 'string', 'description': 'Polymarket market slug'}, 'window_hours': {'type': 'integer', 'default': 72, 'description': 'Pre-event window to analyze (default 72h)'}, 'min_position_usd': {'type': 'number', 'default': 1000, 'description': 'Min notional to flag (default $1000)'}}, 'additionalProperties': False}
pg_kalshi_conflict_of_interest_check
CFTC Rule 5.17(z) conflict-of-interest pre-trade check. Analyzes a Kalshi market's metadata to detect whether trading it would expose decision-makers (election candidates, government officials, athletes, regulators) to insider-trading liability. Pattern-matches against the Kalshi April 2026 disciplinary cases (Moran/Klein/Enriquez) and the CFTC Van Dyke complaint. Returns ALLOW/MONITOR/WARN/BLOCK recommendation + 0-100 score + reference cases. Cannot identify actual trader identity (Kalshi public API anonymizes users) — pair with internal surveillance for full enforcement.
输入模式
{'type': 'object', 'properties': {'ticker': {'type': 'string', 'description': 'Kalshi market ticker'}, 'event_ticker': {'type': 'string', 'description': 'Or event_ticker for the whole event'}, 'candidate_name': {'type': 'string', 'description': "Optional: specific person's name to match against title (e.g. 'Mark Moran')"}}, 'additionalProperties': False}
pg_kalshi_market_details
Detailed Kalshi market or event info. Pass 'ticker' for a single market (returns yes/no bids+asks, last price, volume, OI, spread, hours until close) or 'event_ticker' for all markets in an event (multi-outcome). Includes the rules_primary text (Kalshi's settlement criteria) which is critical for understanding resolution risk.
输入模式
{'type': 'object', 'properties': {'ticker': {'type': 'string', 'description': 'Kalshi market ticker (e.g. KXG7LEADEROUT-45JAN01-DJT)'}, 'event_ticker': {'type': 'string', 'description': 'Kalshi event ticker (returns all child markets)'}}, 'additionalProperties': False}
pg_kalshi_orderbook_analysis
Forensic orderbook analysis for one Kalshi market. Detects manipulation-vulnerable patterns: (1) wide spread (>$0.10), (2) shallow depth (<10 contracts), (3) few price levels, (4) single-order dominance (>80% in top level), (5) penny-wall pattern (large bids at ≤$0.005, commonly used to fake depth). Returns 0-100 score, severity, and full level-by-level data. Kalshi returns bids only — implied asks computed via yes_bid + no_bid = $1 reciprocity.
输入模式
{'type': 'object', 'required': ['ticker'], 'properties': {'ticker': {'type': 'string', 'description': 'Kalshi market ticker'}}, 'additionalProperties': False}
pg_kalshi_resolution_calendar
Compliance briefing: which Kalshi markets resolve in the next N hours? Bucketed by 6h, 24h, 48h, 1 week. Flags markets in CFTC-sensitive categories (Elections, Politics). Use for daily surveillance prep — markets near resolution have highest insider-trading risk window.
输入模式
{'type': 'object', 'properties': {'category': {'type': 'string', 'description': 'Optional category filter'}, 'hours_ahead': {'type': 'integer', 'default': 48, 'description': 'Look-ahead window (default 48h, max 168h)'}, 'min_open_interest': {'type': 'number', 'default': 0, 'description': 'Only markets with at least this OI'}}, 'additionalProperties': False}
pg_kalshi_search
Search Kalshi prediction markets (CFTC-regulated event contracts). Returns events ranked by aggregate 24h volume across all markets in the event. Kalshi categories include Elections, Politics, Economics, Climate, Sports, Entertainment, Financials. Public data, no auth needed. Each event has one or more child markets (mutually exclusive or yes/no).
输入模式
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'default': 25, 'description': 'Max events to return (default 25, max 100)'}, 'query': {'type': 'string', 'description': 'Keyword search in title, sub_title, event_ticker'}, 'status': {'enum': ['open', 'closed', 'settled'], 'type': 'string', 'default': 'open'}, 'category': {'type': 'string', 'description': 'Optional category filter (Elections, Politics, Economics, ...)'}}, 'additionalProperties': False}
pg_kalshi_thin_market_alert
Scan all open Kalshi markets and flag those that are manipulation-vulnerable: closing soon (<24h), low open interest, low liquidity, wide spread, low volume. Daily triage tool. Returns markets ranked by risk_score (≥30 threshold). Best paired with pg_kalshi_resolution_calendar for full compliance briefing.
输入模式
{'type': 'object', 'properties': {'category': {'type': 'string', 'description': 'Optional category filter'}, 'max_results': {'type': 'integer', 'default': 25, 'description': 'Max flagged markets (default 25, max 50)'}}, 'additionalProperties': False}
pg_kalshi_trending
Top trending Kalshi events ranked by aggregate 24h volume across child markets. Filterable by category. Daily-briefing-ready output. Includes the highest-volume sub-market per event.
输入模式
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'default': 25, 'description': 'Max events to return (default 25, max 50)'}, 'category': {'type': 'string', 'description': 'Optional category filter (Elections, Politics, ...)'}}, 'additionalProperties': False}
pg_known_cases
Registry of publicly reported prediction-market integrity cases (Théo / French whale, Hyperliquid whale, Venezuela, Iran strikes, Nuclear, UMA Ukraine). Filter by category or minimum AML relevance (low/medium/high). Summaries only — no accusations against named parties.
输入模式
{'type': 'object', 'properties': {'category': {'type': 'string', 'description': "Optional category substring (e.g. 'geopolitical', 'oracle')"}, 'min_aml_relevance': {'enum': ['low', 'medium', 'high'], 'type': 'string', 'description': 'Minimum AML relevance'}}, 'additionalProperties': False}
pg_kyc_bundle_entity
Full KYC bundle for a named entity: sanctions + PEP + adverse media + country risk in a single call. Delegates to AMLOracle.kyc_bundle.
输入模式
{'type': 'object', 'required': ['name'], 'properties': {'name': {'type': 'string'}, 'country': {'type': 'string', 'description': 'ISO country code'}, 'entity_type': {'type': 'string', 'description': "'person' or 'organization'"}}, 'additionalProperties': False}
pg_market_details
Full market info: outcomes, outcome prices, volume, liquidity, best bid/ask, spread, resolution source, conditionId. Provide 'slug' or 'id'.
输入模式
{'type': 'object', 'properties': {'id': {'type': 'string', 'description': 'Market id / conditionId'}, 'slug': {'type': 'string', 'description': 'Market slug'}}, 'additionalProperties': False}
pg_market_integrity_scan
Multi-signal integrity scan: combines thin-book flag, spread, low liquidity, geopolitical-term pattern, end-date proximity, and 24h volume concentration. Returns score 0-100, level HIGH/MEDIUM/LOW/CLEAN, triggered signals, and an operational recommendation.
输入模式
{'type': 'object', 'properties': {'id': {'type': 'string'}, 'slug': {'type': 'string'}}, 'additionalProperties': False}
pg_market_search
Search Polymarket markets by keyword (e.g. 'election', 'fed', 'bitcoin'). Returns question, slug, 24h volume, liquidity, end date.
输入模式
{'type': 'object', 'required': ['query'], 'properties': {'limit': {'type': 'integer', 'default': 10, 'description': 'Max results (default 10, max 50)'}, 'query': {'type': 'string', 'description': 'Keyword to search'}, 'active_only': {'type': 'boolean', 'default': True, 'description': 'Only active / non-closed markets'}}, 'additionalProperties': False}
pg_market_trades
Raw trade access for a Polymarket market via the Polymarket Data API. Supports client-side filters: time range (from/to, ISO 8601), side (BUY/SELL), minimum trade size, or a specific wallet. Paginates server-side (max 25 pages × 1000 trades). Returns compact records with wallet, pseudonym, side, size, price, notional USD, outcome, timestamp, tx_hash.
输入模式
{'type': 'object', 'properties': {'id': {'type': 'string', 'description': 'Market id / conditionId'}, 'to': {'type': 'string', 'description': 'Only include trades up to this ISO timestamp'}, 'from': {'type': 'string', 'description': 'Only include trades from this ISO timestamp'}, 'side': {'enum': ['BUY', 'SELL'], 'type': 'string', 'description': 'Only trades on this side'}, 'slug': {'type': 'string', 'description': 'Polymarket market slug'}, 'limit': {'type': 'integer', 'default': 100, 'description': 'Max trades to return after filtering (default 100, max 5000)'}, 'wallet': {'type': 'string', 'description': 'Filter to a single wallet address'}, 'min_size': {'type': 'number', 'description': 'Minimum trade size (shares)'}, 'max_pages': {'type': 'integer', 'default': 2, 'description': 'How many pages of 1000 to fetch (default 2, max 25)'}}, 'additionalProperties': False}
pg_market_volume_profile
Volume anomaly heuristic: compares 24h volume vs average daily volume since market start (z-like ratio) and flags thin-book situations where 24h volume >> on-book liquidity.
输入模式
{'type': 'object', 'properties': {'id': {'type': 'string'}, 'slug': {'type': 'string'}}, 'additionalProperties': False}
pg_overview
PredictionGuard platform overview: covered platforms, tool inventory, Polymarket Gamma API ping, Polygon RPC ping (Ankr-backed), known-case count.
输入模式
{'type': 'object', 'properties': {}, 'additionalProperties': False}
pg_pep_check_entity
Politically Exposed Person (PEP) check via Wikidata. Delegates to AMLOracle. Relevant for prediction markets where reported traders overlap with political figures.
输入模式
{'type': 'object', 'required': ['name'], 'properties': {'name': {'type': 'string', 'description': 'Person name'}, 'country': {'type': 'string', 'description': 'Optional ISO country code'}}, 'additionalProperties': False}
pg_position_timing_anomaly
Statistical timing analysis of a single wallet's position on a specific market. Checks: (1) how close to resolution the wallet entered (<6h=35pts, <24h=25pts, <72h=10pts), (2) position size vs market average (>20× avg=25pts, >5× avg=10pts), (3) single-bet pattern (≤3 trades=10pts, no historical trading rationale). Returns 0-100 score, first-trade timestamp, total notional, and methodology. Pair with pg_information_advantage_score for full assessment.
输入模式
{'type': 'object', 'required': ['wallet'], 'properties': {'id': {'type': 'string', 'description': 'Market id / conditionId'}, 'slug': {'type': 'string', 'description': 'Market slug'}, 'wallet': {'type': 'string', 'description': 'Wallet to analyze (0x + 40 hex)'}}, 'additionalProperties': False}
pg_prediction_market_integrity_gate
Pre-trade integrity gate for AI agents and compliance teams. ONE call returns ALLOW/WARN/BLOCK decision + risk_level (0-100) + signed evidence receipt. Aggregates orderbook analysis, resolution-window risk, CFTC Rule 5.17(z) conflict-of-interest check, and (Polymarket) insider signal scan. Supports both Polymarket (slug) and Kalshi (ticker). Optional inputs: wallet (Polymarket-side checks), candidate name (Kalshi Rule 5.17(z) name match), amount_usd (amplifies risk for large bets on thin markets). Returns hashable + ECDSA-signed receipt for audit. Designed for x402 paywall pre-trade calls — agent pays once, gets binary go/no-go.
输入模式
{'type': 'object', 'required': ['platform', 'market_id'], 'properties': {'wallet': {'type': 'string', 'description': 'Optional: Polygon wallet address (Polymarket only)'}, 'platform': {'enum': ['polymarket', 'kalshi'], 'type': 'string', 'description': 'Which prediction market'}, 'candidate': {'type': 'string', 'description': 'Optional: candidate name for Kalshi Rule 5.17(z) name match'}, 'market_id': {'type': 'string', 'description': 'Polymarket slug or Kalshi ticker/event_ticker'}, 'amount_usd': {'type': 'number', 'description': 'Optional: bet size for risk amplification'}}, 'additionalProperties': False}
pg_pre_event_flow_analysis
Analyze pre-resolution positioning on a Polymarket market. For the N days before the market's endDate, aggregates trades by wallet, classifies wallets new to the market in that window, detects volume concentration, timing clusters (minutes where ≥5 distinct wallets trade in sync), and pre-event volume spikes vs historical average. Returns a 0–100 risk score (CRITICAL/HIGH/MEDIUM/LOW/CLEAN) with triggered signals, top 10 positioners, and top 10 new wallets. Default window = 7 days.
输入模式
{'type': 'object', 'properties': {'id': {'type': 'string'}, 'slug': {'type': 'string'}, 'max_pages': {'type': 'integer', 'default': 10, 'description': 'Trade pagination depth (default 10, max 25)'}, 'days_before_end': {'type': 'number', 'default': 7, 'description': 'Pre-event window size in days (1–90, default 7)'}}, 'additionalProperties': False}
pg_resolution_risk_score
Multi-signal resolution-risk score (0–100, CLEAN/LOW/MEDIUM/HIGH/CRITICAL) for a Polymarket market. Combines category priors (geopolitical/election/sanctions patterns from pg_known_cases), resolution-phase proximity, market volume, resolution-source sanity check (is the UMA adapter a real deployed contract), UMA global dispute ratio, and thin-book flag. Returns triggered signals with point deductions for full auditability.
输入模式
{'type': 'object', 'properties': {'id': {'type': 'string'}, 'slug': {'type': 'string'}}, 'additionalProperties': False}
pg_sanctions_screen_entity
Screen a named entity against global sanctions lists (OFAC SDN, EU FSF, UN SC, Interpol). Delegates to AMLOracle. Use after resolving a wallet/trader to a real name via public reporting or known-case registry.
输入模式
{'type': 'object', 'required': ['name'], 'properties': {'name': {'type': 'string', 'description': 'Person or entity name'}, 'threshold': {'type': 'number', 'description': 'Optional fuzzy-match threshold (0..1)'}, 'entity_type': {'type': 'string', 'description': "Optional: 'person' or 'organization'"}}, 'additionalProperties': False}
pg_sar_report
Generate a draft Suspicious Activity Report (SAR/STR) from structured inputs. Supports EU_GENERIC (FATF-aligned STR, default), US_FINCEN (Form 111 structure), and DE_goAML (German FIU draft). Takes subject, market, activity window, integrity signals, and evidence references — auto-classifies the primary suspicious activity type, generates a narrative, and renders regulator-style markdown. Output is marked draft_for_review; PredictionGuard does not submit SARs directly.
输入模式
{'type': 'object', 'required': ['subject'], 'properties': {'filer': {'type': 'object', 'properties': {'institution': {'type': 'string'}, 'contact_name': {'type': 'string'}, 'contact_email': {'type': 'string'}}, 'description': 'Information about the preparing institution.'}, 'market': {'type': 'object', 'properties': {'slug': {'type': 'string'}, 'end_date': {'type': 'string'}, 'question': {'type': 'string'}, 'volume_usd': {'type': 'number'}, 'liquidity_usd': {'type': 'number'}, 'volume_24h_usd': {'type': 'number'}}, 'description': 'Optional. Polymarket market context.'}, 'signals': {'type': 'array', 'items': {'type': ['string', 'object']}, 'description': "Integrity signals (strings or objects with 'term'/'reason'/'layer'). Pass the 'triggered_signals' array from pg_market_integrity_scan or pg_resolution_risk_score directly."}, 'subject': {'type': 'object', 'properties': {'network': {'type': 'string'}, 'risk_grade': {'type': 'string'}, 'risk_score': {'type': 'number'}, 'entity_name': {'type': 'string'}, 'entity_type': {'enum': ['person', 'organization', 'unknown'], 'type': 'string'}, 'aml_relevance': {'type': 'string'}, 'wallet_address': {'type': 'string'}}, 'description': 'Required. The subject of the report.'}, 'activity': {'type': 'object', 'properties': {'date_end': {'type': 'string'}, 'amount_usd': {'type': 'number'}, 'date_start': {'type': 'string'}}, 'description': 'Activity window and amounts.'}, 'evidence': {'type': 'object', 'properties': {'signed_alerts': {'type': 'array', 'items': {'type': 'string'}}, 'related_markets': {'type': 'array', 'items': {'type': 'string'}}, 'related_wallets': {'type': 'array', 'items': {'type': 'string'}}}, 'description': 'References to prior evidence.'}, 'narrative_addendum': {'type': 'string', 'description': 'Optional free-text addendum from the analyst.'}, 'filing_jurisdiction': {'enum': ['EU_GENERIC', 'US_FINCEN', 'DE_goAML'], 'type': 'string', 'default': 'EU_GENERIC', 'description': 'Report format. Default EU_GENERIC.'}}, 'additionalProperties': False}
pg_trending_markets
Top Polymarket markets by 24h volume. Useful for daily compliance triage / catching news catalysts before they land in mainstream coverage.
输入模式
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'default': 10, 'description': 'Max results (default 10, max 25)'}}, 'additionalProperties': False}
pg_uma_market_resolution
Resolution source and phase for a specific Polymarket market. Fetches market metadata from Gamma, extracts the resolutionSource address, verifies it's a deployed contract on Polygon, and classifies the resolution phase (active_trading / approaching_resolution / imminent_resolution_window / past_end_awaiting_resolution / resolved).
输入模式
{'type': 'object', 'properties': {'id': {'type': 'string', 'description': 'Market id / conditionId'}, 'slug': {'type': 'string', 'description': 'Market slug'}}, 'additionalProperties': False}
pg_uma_status
Global UMA Optimistic Oracle health on Polygon. Scans event logs from OOv2 (and optionally OOv1) over a configurable window, tallies events by type (RequestPrice / ProposePrice / DisputePrice / Settle), computes per-hour rate, and derives a dispute/propose ratio — a leading indicator of oracle-level contention.
输入模式
{'type': 'object', 'properties': {'include_v1': {'type': 'boolean', 'default': False, 'description': 'Also scan UMA OOv1 (legacy, default false)'}, 'blocks_back': {'type': 'integer', 'default': 5000, 'description': 'Blocks to scan back (default 5000 ≈ 3h, max 20000)'}}, 'additionalProperties': False}
pg_verify_alert
Verify a previously issued signed alert (JWS or content-hash). Delegates to Trust Layer verify_signature. Returns validity, signer, and timestamp. JWKS at feedoracle.io/.well-known/jwks.json.
输入模式
{'type': 'object', 'properties': {'jws': {'type': 'string', 'description': 'Full JWS string'}, 'content_hash': {'type': 'string', 'description': 'SHA-256 content hash (alternative to JWS)'}}, 'additionalProperties': False}
pg_wallet_correlation_match
Find wallets that co-trade across multiple sensitive Polymarket markets with a target wallet. Given a wallet and 2-10 market slugs, returns: which markets the target traded, top 20 cotraders ranked by overlap count, and an aggregate severity score (≥3 shared markets = MEDIUM, ≥5 = HIGH). Use case: detect coordinated trading rings, shared-info syndicates, or wallet clusters that consistently bet on the same sensitive events.
输入模式
{'type': 'object', 'required': ['wallet', 'markets'], 'properties': {'wallet': {'type': 'string', 'description': 'Target wallet address (0x + 40 hex)'}, 'markets': {'type': 'array', 'items': {'type': 'string'}, 'description': '2-10 market slugs to check for co-trading overlap'}}, 'additionalProperties': False}
pg_wallet_entity_resolve
Resolve a Polygon address to a known entity via PredictionGuard's Wallet Registry (Polymarket core contracts, major stablecoins, known CEX hot wallets), falling back to on-chain heuristic classification for unknown addresses. Returns entity name, type, category, AML relevance, confidence, and source-of-record URL.
输入模式
{'type': 'object', 'required': ['address'], 'properties': {'address': {'type': 'string', 'description': 'Polygon address (0x + 40 hex chars)'}}, 'additionalProperties': False}
pg_wallet_lookup
Polygon wallet base profile via JSON-RPC (Ankr-backed when RPC_POLYGON is set, public fallback otherwise). Returns MATIC balance, outbound tx count, contract-vs-EOA detection, and a lightweight risk heuristic.
输入模式
{'type': 'object', 'required': ['address'], 'properties': {'address': {'type': 'string', 'description': 'Polygon address (0x + 40 hex chars)'}}, 'additionalProperties': False}
pg_wallet_risk_profile
Aggregated A–F risk profile for a Polygon wallet. Combines on-chain behavior (pg_wallet_lookup), entity resolution (pg_wallet_entity_resolve), and — where the entity can be screened — AML bundle (sanctions + PEP + adverse media via AMLOracle). Grade A = clean, F = blocked. Includes triggered flags with points deductions for full auditability.
输入模式
{'type': 'object', 'required': ['address'], 'properties': {'address': {'type': 'string', 'description': 'Polygon address (0x + 40 hex chars)'}}, 'additionalProperties': False}
pg_whale_add
Add a Polygon wallet to the PredictionGuard watchlist. Takes an initial baseline snapshot so subsequent pg_whale_scan calls can detect movement. Set alert_threshold_matic to tune sensitivity (default 100 MATIC). Tags are free-form.
输入模式
{'type': 'object', 'required': ['address'], 'properties': {'tags': {'type': 'array', 'items': {'type': 'string'}, 'description': "Free-form tags (e.g. ['polymarket','pre-election','whale'])"}, 'alias': {'type': 'string', 'description': 'Optional human-readable label'}, 'notes': {'type': 'string', 'description': 'Free-form notes'}, 'address': {'type': 'string', 'description': 'Polygon address (0x + 40 hex)'}, 'alert_threshold_matic': {'type': 'number', 'default': 100.0, 'description': 'Balance delta threshold in MATIC for alerts (default 100)'}}, 'additionalProperties': False}
pg_whale_alerts
Retrieve alerts from the watchlist audit log. Filter by address, severity (LOW/MEDIUM/HIGH/CRITICAL), and/or ISO timestamp 'since'. Default returns the 50 most recent alerts across the whole watchlist.
输入模式
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'default': 50, 'description': 'Max results (max 500)'}, 'since': {'type': 'string', 'description': 'ISO 8601 timestamp (e.g. 2026-04-20T00:00:00Z)'}, 'address': {'type': 'string'}, 'severity': {'enum': ['LOW', 'MEDIUM', 'HIGH', 'CRITICAL'], 'type': 'string'}}, 'additionalProperties': False}
pg_whale_list
List all watched wallets with their alias, threshold, tags, notes, and last snapshot. Optionally filter by tag.
输入模式
{'type': 'object', 'properties': {'tag': {'type': 'string', 'description': 'Optional tag filter'}, 'limit': {'type': 'integer', 'default': 100, 'description': 'Max results (max 500)'}}, 'additionalProperties': False}
pg_whale_remove
Remove a wallet from the watchlist. By default keeps historical snapshots and alerts (for audit trail). Set keep_history=false to purge everything for this address.
输入模式
{'type': 'object', 'required': ['address'], 'properties': {'address': {'type': 'string'}, 'keep_history': {'type': 'boolean', 'default': True, 'description': 'Keep snapshot + alert history (default true)'}}, 'additionalProperties': False}
pg_whale_scan
Scan one or all watched wallets against Polygon RPC. Compares current balance + nonce to the last snapshot, writes a new snapshot, and emits an alert when the delta exceeds the wallet's configured threshold. Severity is MEDIUM / HIGH / CRITICAL by delta size. Omit 'address' to scan the entire watchlist. Designed to be called periodically via SchedulerOracle or a systemd timer.
输入模式
{'type': 'object', 'properties': {'address': {'type': 'string', 'description': 'Optional — scan a single address. Omit to scan the whole list.'}}, 'additionalProperties': False}
历史
近期工具变更
已添加
pg_prediction_market_integrity_gate
2026年9月17日 12:53
已添加
pg_kalshi_conflict_of_interest_check
2026年9月17日 12:53
已添加
pg_kalshi_resolution_calendar
2026年9月17日 12:53
已添加
pg_kalshi_thin_market_alert
2026年9月17日 12:53
已添加
pg_kalshi_orderbook_analysis
2026年9月17日 12:53
已添加
pg_kalshi_trending
2026年9月17日 12:53
已添加
pg_kalshi_market_details
2026年9月17日 12:53
已添加
pg_kalshi_search
2026年9月17日 12:53
已添加
pg_classified_keyword_match
2026年9月17日 12:53
已添加
pg_information_advantage_score
2026年9月17日 12:53
已添加
pg_position_timing_anomaly
2026年9月17日 12:53
已添加
pg_wallet_correlation_match
2026年9月17日 12:53
已添加
pg_insider_signal_scan
2026年9月17日 12:53
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pg_pre_event_flow_analysis
2026年9月17日 12:53
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pg_market_trades
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pg_sar_report
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pg_resolution_risk_score
2026年9月17日 12:53
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pg_uma_market_resolution
2026年9月17日 12:53
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pg_uma_status
2026年9月17日 12:53
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pg_whale_alerts
2026年9月17日 12:53
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pg_whale_scan
2026年9月17日 12:53
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pg_whale_list
2026年9月17日 12:53
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pg_whale_remove
2026年9月17日 12:53
已添加
pg_whale_add
2026年9月17日 12:53
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pg_wallet_risk_profile
2026年9月17日 12:53
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pg_wallet_entity_resolve
2026年9月17日 12:53
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pg_verify_alert
2026年9月17日 12:53
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pg_evidence_bundle_market
2026年9月17日 12:53
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pg_insider_alert_signed
2026年9月17日 12:53
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pg_kyc_bundle_entity
2026年9月17日 12:53
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