{"uid":"cap_TFt4EpBOUp9rU6vpHvITe","slug":"tooloracle-io-cdf0750f","name":"ToolOracle Kalshi Orderbook Risk Analyzer","description":"Detects thin liquidity, penny walls, spread risk, and fragile orderbook structures in Kalshi markets. Returns 0-100 manipulation-vulnerability score plus signal-level evidence: wide spread (>$0.10), shallow depth (<10 contracts), few price levels, single-order dominance (>80% in top level), penny-wall pattern (large bids at ≤$0.005, common in wash trading). For agents that need to detect fragile order books before placing orders.","url":"https://tooloracle.io/v2/orderbook_risk","method":"POST","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method","bodyType","body"],"properties":{"body":{"properties":{}},"type":{"type":"string","const":"http"},"method":{"enum":["POST"],"type":"string"},"bodyType":{"enum":["json","form-data","text"],"type":"string"}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.010000","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"settled","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.010000/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_9RHlFzJAhTAVPyb438sCB","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Detects thin liquidity, penny walls, spread risk, and fragile orderbook structures in Kalshi prediction markets, returning a 0-100 manipulation-vulnerability score with signal-level evidence.","exampleAgentPrompt":"Before I place an order on the Kalshi market for 'Will the Fed raise rates in September?', check the orderbook risk score — I want to know if there's thin liquidity, penny walls, or any manipulation-vulnerability signals I should be worried about.","exampleUseCases":null,"resultDescription":"Returns a 0-100 manipulation-vulnerability score for the specified Kalshi market orderbook, along with signal-level evidence flags including: wide spread (>$0.10 detected), shallow depth (<10 contracts), few price levels, single-order dominance (>80% concentration at top level), and penny-wall pattern (large bids at ≤$0.005 indicative of wash trading).","failureModes":["Invalid or unrecognized Kalshi market ID returns error 400","Market has no active orderbook or is closed — returns empty signals","Payment not included or insufficient USDC — returns 402 Payment Required","Orderbook snapshot stale or unavailable — returns partial signals with confidence caveat","Rate limit exceeded — returns 429"],"whenToPreferThis":"Use this endpoint when an AI agent needs to assess pre-trade orderbook quality specifically on Kalshi prediction markets — particularly when checking for manipulation risk, thin liquidity, or fragile structures before committing capital. Prefer this over generic market data endpoints when you specifically need penny-wall detection, single-order dominance scoring, or a quantified vulnerability score tailored to Kalshi's contract format.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T12:45:07.347Z","isFirstParty":false}