Predict.fun Subgraphs

<a href="https://glama.ai/mcp/servers/PaulieB14/predictfun-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/PaulieB14/predictfun-mcp/badge" /> </a>

A suite of three subgraphs indexing Predict.fun — a prediction market protocol on BNB Chain (Polymarket fork) with $1.7B+ volume and novel yield-bearing mechanics via Venus Protocol.

Subgraphs

1. predictfun-orderbook

Indexes orderbook activity across all CTF and NegRisk exchanges.

Entities: Markets, Orderbooks, OrderFilled/Matched/Cancelled events, Fee tracking, Account stats, NegRisk markets, TradeData timeseries with hourly/daily aggregations

Contracts:

Contract	Address
CTFExchange (Non-Yield)	0x8BC070BEdAB741406F4B1Eb65A72bee27894B689
CTFExchange (Yield)	0x6bEb5a40C032AFc305961162d8204CDA16DECFa5
NegRiskCtfExchange (Non-Yield)	0x365fb81bd4A24D6303cd2F19c349dE6894D8d58A
NegRiskCtfExchange (Yield)	0x8A289d458f5a134bA40015085A8F50Ffb681B41d
NegRiskAdapter (Non-Yield)	0xc3Cf7c252f65E0d8D88537dF96569AE94a7F1A6E
NegRiskAdapter (Yield)	0x41dCe1A4B8FB5e6327701750aF6231B7CD0B2A40
+ 4 Fee Module contracts

2. predictfun-positions

Indexes position lifecycle — splits, merges, redemptions, and open interest tracking.

Entities: Conditions, UserPositions, MarketOpenInterest, Split/Merge/Redemption events, NegRisk conversions, TransferSingle events

Contracts:

Contract	Address
ConditionalTokens (Non-Yield)	0x22DA1810B194ca018378464a58f6Ac2B10C9d244
ConditionalTokens (Yield)	0x9400F8Ad57e9e0F352345935d6D3175975eb1d9F
NegRisk ConditionalTokens (Yield)	0xF64b0b318AAf83BD9071110af24D24445719A07F
NegRiskAdapter (Non-Yield)	0xc3Cf7c252f65E0d8D88537dF96569AE94a7F1A6E
NegRiskAdapter (Yield)	0x41dCe1A4B8FB5e6327701750aF6231B7CD0B2A40
NegRiskOperator (Yield)	0xBB7250101e0e3611D7e136fFE73Bc24b98E3e175
NegRiskOperator (Non-Yield)	0x56020F5024641d577Cb54032aF70a23a986ECfFD

3. predictfun-yield

Indexes Predict.fun's novel yield-bearing mechanics — Venus Protocol integration, reward distributions, and UMA oracle resolution.

Entities: TokenMappings (underlying/vToken pairs), YieldClaims, VTokenMints, RewardRounds, OracleRequests/Proposals/Settlements

Contracts:

Contract	Address
YieldBearingConditionalTokens	0x9400F8Ad57e9e0F352345935d6D3175975eb1d9F
RewardDistributor	0x14e3a0a4aB4e4Fa60FC6b4aCce200afAD9233ecE
UMA Optimistic Oracle	0x76F4632032d3E16fE15e06DDB60b53C67BCE17a0

Architecture

predict.fun (BNB Chain)
├── predictfun-orderbook    ── Fills, matches, fees, market registration
├── predictfun-positions    ── Splits, merges, redemptions, open interest
└── predictfun-yield        ── Venus yield, reward claims, oracle resolution

All subgraphs share:

• Network: BSC (BNB Smart Chain)
• Collateral: USDT (18 decimals)
• Start Block: 64,817,753
• Spec Version: 1.3.0

Best Practices Applied

• Bytes! IDs everywhere (cheaper than String!)
• @entity(immutable: true) on all event logs
• @derivedFrom for reverse lookups (no redundant storage)
• No eth_calls (events only)
• indexerHints: prune: auto for storage efficiency
• nonFatalErrors feature enabled
• concatI32(logIndex) for unique event IDs

MCP Server

An MCP (Model Context Protocol) server that gives AI agents structured access to all three subgraphs.

Setup

1. Get a Graph API key from Subgraph Studio (docs)

2. Add to your Claude Code config (~/.claude/settings.json):

{
  "mcpServers": {
    "predictfun": {
      "command": "npx",
      "args": ["predictfun-mcp"],
      "env": {
        "GRAPH_API_KEY": "your-api-key-here"
      }
    }
  }
}

Subgraph IDs are built in. Queries go through The Graph Gateway and are billed to your API key.

Tools (14)

Data Tools

Tool	Description
get_platform_stats	Full platform overview — volume, OI, yield, sync status
get_top_markets	Rank markets by volume, open interest, or trade count
get_market_details	Deep dive: OI, resolution, top holders, orderbook stats
get_trader_profile	Full P&L: trades, positions, payouts, yield rewards
get_recent_activity	Latest trades, splits, merges, redemptions, or yield claims
get_yield_overview	Venus Protocol deposits, redemptions, yield stats
get_whale_positions	Largest holders with % of market OI
get_leaderboard	Top traders by volume, payouts, or trade count
get_resolved_markets	Recently settled markets with outcomes
query_subgraph	Custom GraphQL against any subgraph

Meta-Tools (agent reasoning layer)

Tool	Description
find_trader_persona	Classify a trader into archetypes: whale accumulator, yield farmer, arbitrageur, early mover, resolution sniper
scan_trader_personas	Find traders matching a specific behavioral archetype across the platform
tag_market_structure	Tag a market by resolution latency, liquidity profile, oracle type, and tail-risk indicators
scan_markets_by_structure	Find markets by structural filter: resolution speed, liquidity depth, oracle type, OI concentration, tail risk

Meta-tools return structured JSON so agents can reason programmatically over trader behavior and market quality — not just raw volume and OI.

Prompts (9)

Pre-built workflows: platform_overview, analyze_trader, market_deep_dive, yield_analysis, whale_alert, market_scanner, custom_query_examples, trader_persona_analysis, market_quality_scan

Subgraph Development

cd predictfun-<subgraph>
npm install
npx graph codegen
npx graph build
npx graph deploy predictfun-<subgraph> --version-label v0.0.1

License

MIT