> ## Documentation Index > Fetch the complete documentation index at: https://rekko.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # Get Analysis > Get the latest AI analysis for a market, keyed by platform and market ID. ## OpenAPI ````yaml GET /v1/markets/{platform}/{market_id}/analysis openapi: 3.1.0 info: title: Rekko AI — Prediction Market Intelligence description: >- The brain for prediction market trading. Deep AI research, Bayesian causal decomposition, portfolio-aware strategy signals, cross-platform arbitrage, and execution guidance — all in one API. Covers Kalshi, Polymarket, Robinhood, and Coinbase. Clean flat JSON designed for developers and autonomous trading agents. contact: name: Rekko AI url: https://rekko.ai/ license: name: Proprietary version: 1.0.0 servers: - url: https://api.rekko.ai security: [] tags: - name: Markets description: Prediction market listings, history, resolution, and execution guidance - name: Insights description: AI-powered research insights with causal decomposition - name: Strategy description: >- Actionable trading signals with Kelly-derived position sizing and causal decomposition - name: Portfolio description: Portfolio-aware strategy, correlation analysis, and hedge recommendations - name: Arbitrage description: Cross-platform arbitrage detection (Kalshi vs Polymarket vs Robinhood) - name: Analytics description: Calibration metrics, sentiment, and performance tracking - name: Streaming description: Real-time SSE event stream and webhooks - name: Consensus description: Agent trade aggregation and crowd probability paths: /v1/markets/{platform}/{market_id}/analysis: get: tags: - Insights summary: Get latest analysis for a market description: >- Get the latest AI analysis for a market, keyed by platform and market ID. operationId: /v1/markets/{platform}/{market_id}/analysis parameters: - name: platform in: path required: true schema: type: string examples: - kalshi title: Platform - name: market_id in: path required: true schema: type: string examples: - KXAGICO-COMP-28Q1 title: Market Id - name: expand in: query required: false schema: type: string description: Comma-separated expansions default: '' title: Expand description: Comma-separated expansions responses: '200': description: Successful Response content: application/json: schema: $ref: '#/components/schemas/Analysis' '422': description: Validation Error content: application/json: schema: $ref: '#/components/schemas/HTTPValidationError' components: schemas: Analysis: properties: platform: type: string title: Platform description: kalshi, polymarket, robinhood, or coinbase market_id: type: string title: Market Id description: Platform-specific market identifier title: type: string title: Title description: Market question probability: type: number maximum: 1 minimum: 0 title: Probability description: Rekko's estimated true probability confidence: type: number maximum: 1 minimum: 0 title: Confidence description: Confidence in the estimate edge: type: number title: Edge description: estimated_prob - market_price (positive = underpriced YES) default: 0 recommendation: type: string title: Recommendation description: BUY_YES, BUY_NO, or NO_TRADE risk_rating: type: string title: Risk Rating description: low, medium, or high default: medium summary: type: string title: Summary description: Executive summary of the analysis key_factors: items: type: string type: array title: Key Factors description: Top probability drivers risks: items: type: string type: array title: Risks description: Ways the analysis could be wrong source_count: type: integer title: Source Count description: Number of sources analyzed default: 0 analyzed_at: type: string format: date-time title: Analyzed At description: When the analysis was produced expires_at: anyOf: - type: string format: date-time - type: 'null' title: Expires At description: Signal staleness window freshness: anyOf: - type: string enum: - fresh - stale - expired - type: 'null' title: Freshness description: 'Data freshness: fresh (<24h), stale (24-72h), expired (>72h)' analysis_type: anyOf: - type: string enum: - full - light - type: 'null' title: Analysis Type description: Whether this was a full 4-stage or light 2-call analysis scenarios: anyOf: - items: $ref: '#/components/schemas/AnalysisScenario' type: array - type: 'null' title: Scenarios description: Bull/base/bear scenarios (?expand=scenarios) causal: anyOf: - $ref: '#/components/schemas/CausalDecomposition' - type: 'null' description: Causal factor decomposition (?expand=causal) meta: anyOf: - $ref: '#/components/schemas/AnalysisMeta' - type: 'null' description: Pipeline metadata (?expand=meta) type: object required: - platform - market_id - title - probability - confidence - recommendation - summary title: Analysis description: |- AI-generated research analysis for a prediction market. Core fields are always present. Detailed breakdowns available via ?expand=scenarios,causal,meta. example: analyzed_at: '2026-03-21T12:00:00Z' confidence: 0.82 edge: 0.09 expires_at: '2026-03-22T12:00:00Z' key_factors: - PCE inflation at 2.1% — within Fed target range - Three FOMC members signaled openness to cuts in recent speeches - Jobless claims trending upward (225K → 238K over 4 weeks) market_id: KXFED-26MAR19 platform: kalshi probability: 0.71 recommendation: BUY_YES risk_rating: low risks: - Strong March employment report could reverse dovish signals - Tariff escalation could reignite inflation expectations source_count: 14 summary: >- Fed futures imply 68% probability of a March cut. PCE inflation at 2.1% is within the Fed's comfort zone, and three FOMC members have signaled openness to easing. Our research across 14 sources estimates 71% true probability — a 9-point edge over the current market price of 62c. title: Will the Fed cut rates at the March 2026 meeting? HTTPValidationError: properties: detail: items: $ref: '#/components/schemas/ValidationError' type: array title: Detail type: object title: HTTPValidationError AnalysisScenario: properties: name: type: string title: Name description: Scenario name, e.g. 'Bull (rate cut)' probability: type: number maximum: 1 minimum: 0 title: Probability description: Scenario probability description: type: string title: Description description: What happens in this scenario trigger: type: string title: Trigger description: Events that trigger this scenario default: '' type: object required: - name - probability - description title: AnalysisScenario description: A scenario assessment (bull/base/bear). example: description: >- Fed delivers 25bp cut citing cooling inflation and softening labor market name: Bull (rate cut) probability: 0.71 trigger: PCE stays below 2.2%, jobless claims rise above 230K CausalDecomposition: properties: overall_probability: type: number maximum: 1 minimum: 0 title: Overall Probability description: Aggregated probability from factor weights overall_confidence: type: number maximum: 1 minimum: 0 title: Overall Confidence description: Weighted confidence across all factors factors: items: $ref: '#/components/schemas/CausalFactor' type: array title: Factors description: Causal factors (typically 3-7) method: type: string title: Method description: 'Aggregation method: weighted_bayesian, linear, log_odds' default: weighted_bayesian generated_at: type: string format: date-time title: Generated At description: When this decomposition was produced type: object required: - overall_probability - overall_confidence - factors title: CausalDecomposition description: |- Weighted causal decomposition of a market probability estimate. Breaks a probability estimate into evidence-backed factors with Bayesian prior/posterior updates. example: factors: - claim: Inflation is within Fed's comfort zone confidence: 0.9 direction: supports_yes evidence: - 'PCE Feb 2026: 2.1%' - Core CPI declining 3 months posterior: 0.82 prior: 0.6 weight: 0.35 - claim: Fed rhetoric is dovish confidence: 0.75 direction: supports_yes evidence: - Waller speech March 12 - 'Bostic: ''open to adjustment''' posterior: 0.68 prior: 0.5 weight: 0.3 - claim: Tariff uncertainty creates headwinds confidence: 0.6 direction: supports_no evidence: - New tariffs announced March 5 - Trade deficit widening posterior: 0.45 prior: 0.4 weight: 0.2 generated_at: '2026-03-21T12:00:00Z' method: weighted_bayesian overall_confidence: 0.82 overall_probability: 0.71 AnalysisMeta: properties: what_would_change_mind: items: type: string type: array title: What Would Change Mind description: Events that would change the recommendation edge_assessment: type: string title: Edge Assessment description: Market edge analysis default: '' models_used: items: type: string type: array title: Models Used description: Models used in the pipeline duration_ms: type: integer title: Duration Ms description: How long the analysis took default: 0 ensemble_probability: anyOf: - type: number maximum: 1 minimum: 0 - type: 'null' title: Ensemble Probability description: Aggregated probability from multi-model ensemble ensemble_estimates: anyOf: - items: additionalProperties: true type: object type: array - type: 'null' title: Ensemble Estimates description: Per-model probability estimates from ensemble ensemble_method: anyOf: - type: string - type: 'null' title: Ensemble Method description: Ensemble aggregation method used ensemble_disagreement: anyOf: - type: number minimum: 0 - type: 'null' title: Ensemble Disagreement description: Std dev across ensemble models (0 = full agreement) raw_probability: anyOf: - type: number maximum: 1 minimum: 0 - type: 'null' title: Raw Probability description: Pre-calibration probability (before Platt scaling) calibration_applied: type: boolean title: Calibration Applied description: Whether post-hoc Platt scaling was applied default: false type: object title: AnalysisMeta description: >- Internal metadata about how an analysis was produced (opt-in via ?expand=meta). example: calibration_applied: true duration_ms: 42300 edge_assessment: >- Market at 62c implies 62% probability. Our 71% estimate gives +9c edge — significant at this confidence level. ensemble_disagreement: 0.04 ensemble_method: trimmed_median ensemble_probability: 0.72 models_used: - gemini-3.1-pro-preview - claude-sonnet-4-5 raw_probability: 0.7 what_would_change_mind: - CPI surprise above 2.5% - Strong employment report (NFP > 250K) - Hawkish Fed minutes release ValidationError: properties: loc: items: anyOf: - type: string - type: integer type: array title: Location msg: type: string title: Message type: type: string title: Error Type input: title: Input ctx: type: object title: Context type: object required: - loc - msg - type title: ValidationError CausalFactor: properties: claim: type: string title: Claim description: The factor statement, e.g. 'Fed will hold rates' direction: type: string enum: - supports_yes - supports_no - neutral title: Direction description: Whether this factor pushes toward YES or NO resolution weight: type: number maximum: 1 minimum: 0 title: Weight description: Relative importance weight (top-level factors sum to ~1.0) confidence: type: number maximum: 1 minimum: 0 title: Confidence description: Confidence in this specific factor (0=uncertain, 1=certain) prior: type: number maximum: 1 minimum: 0 title: Prior description: Prior probability (base rate) posterior: type: number maximum: 1 minimum: 0 title: Posterior description: Updated probability after evidence (Bayesian posterior) evidence: items: type: string type: array title: Evidence description: Key evidence supporting this factor type: object required: - claim - direction - weight - confidence - prior - posterior title: CausalFactor description: A single factor in a causal decomposition. example: claim: Inflation is within Fed's comfort zone confidence: 0.9 direction: supports_yes evidence: - 'PCE Feb 2026: 2.1% (below 2.5% target ceiling)' - Core CPI declining for 3 consecutive months posterior: 0.82 prior: 0.6 weight: 0.35 ````