io.tooloracle/predictionguard

Tools

• 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).

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• 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.

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• 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.

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• 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.

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• 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.

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• 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.

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• 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.

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• 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.

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• 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.

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• 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.

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• 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).

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• 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.

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• 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.

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• 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.

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• 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.

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• pg_market_details

  Full market info: outcomes, outcome prices, volume, liquidity, best bid/ask, spread, resolution source, conditionId. Provide 'slug' or 'id'.

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• 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.

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• pg_market_search

  Search Polymarket markets by keyword (e.g. 'election', 'fed', 'bitcoin'). Returns question, slug, 24h volume, liquidity, end date.

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• 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.

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• 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.

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• pg_overview

  PredictionGuard platform overview: covered platforms, tool inventory, Polymarket Gamma API ping, Polygon RPC ping (Ankr-backed), known-case count.

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• 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.

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• 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.

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• 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.

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• 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.

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• 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.

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• 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.

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• 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.

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• pg_trending_markets

  Top Polymarket markets by 24h volume. Useful for daily compliance triage / catching news catalysts before they land in mainstream coverage.

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• 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).

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• 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.

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• 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.

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• 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.

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• 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.

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• 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.

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• 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.

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• 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.

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• 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.

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• pg_whale_list

  List all watched wallets with their alias, threshold, tags, notes, and last snapshot. Optionally filter by tag.

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• 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.

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• 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.

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