{
  "register": "POST /v1/credits/register {\"agent_name\": \"...\"} -> $5 free credits, no card (first 3 keys per IP per 30 days)",
  "how_to_buy": "POST /v1/credits/purchase with header X-API-Key: <your key> and body {\"product_key\": \"<key>\"} \u2014 where <key> is any of the product names listed in the sections below, e.g. {\"product_key\": \"depin_provenance\"} for $0.49. Delivery is inline in the response. Over MCP: purchase_data {\"product_key\": \"depin_provenance\"}.",
  "check_balance": "GET /v1/credits/balance with header X-API-Key: <your key>",
  "how_to_topup": "POST /v1/credits/topup with header X-API-Key: <your key> and body {\"method\": \"stripe\", \"amount\": N} where N is one of 20, 99. checkout_url \u2014 a Stripe link already bound to your key via client_reference_id, so credits post automatically on payment at $1 = 1 credit. No human step. For USDC on Base use {\"method\": \"usdc\"} \u2014 USDC on Base available after sender verification and a current quote; see /v1/credits/crypto",
  "depin_intelligence": {
    "depin_networks": "$0.99 \u2014 full network catalog + coverage tiers",
    "depin_revenue_snapshot": "$2.99 \u2014 verified on-chain fees",
    "depin_provenance": "$0.49 \u2014 full 168-network first-party supply snapshot (free tier rotates a 40-network window). Node counts, GPU capacity, utilisation, every value verify-stamped.",
    "depin_history": "$7.99 \u2014 daily snapshot history per network/metric from depin_daily. One row per (day, network, metric) with the observation count behind it. Days with no reading are ABSENT, never interpolated. History begins at the 2026-08-06 clean epoch.",
    "depin_health_profile": "$4.99 \u2014 health profile for ONE network (AKT; the SKU is fixed to it): market cap, FDV and FDV/MC dilution, price, GitHub activity, first-party metric count, plus evidence_json and missing_fields naming every input that is absent (absent fields arrive null, never 0). Composite scores (conviction/moat/sustainability/overall) and the health grade are withdrawn estate-wide pending measured inputs.",
    "depin_grades": "$9.99 \u2014 WITHDRAWN: 0 of 426 grade rows carry a letter grade. The 2026-09-26 rebuild withheld every grade whose inputs are unmeasured (the legacy set gave 407 of 426 an A for node quality with no node count behind it). A purchase is refused, not charged, until measured grades return.",
    "depin_enrichment": "$3.99 \u2014 field-level first-party enrichment: a ONE-TIME snapshot built 2026-08-20 and not refreshed since, so each value is as of its own built_at, not now; 654 records over 403 ticker symbols, 129 of them Bittensor subnets. verify_url and confidence on every record; for current values use the live network endpoints.",
    "depin_ai_intel": "$14.99 \u2014 504 deep AI analysis entries: investment thesis, conviction score, moat score, risk factors, anomaly flags, competitive position, 5 key metrics with importance rankings.",
    "note": "delivered live from the :6033 product API; every value verifiable at source"
  },
  "premium_intelligence": {
    "node_quality_score": "$4.99 \u2014 quality-adjusted node counts with A-F grades. Cuts through vanity metrics by comparing raw vs verified active nodes.",
    "dilution_risk_map": "$4.99 \u2014 FDV/MC ratio analysis for 292 DePIN networks ($378B visible mcap). Classifies EXTREME/HIGH/ELEVATED/LOW/MINIMAL dilution risk.",
    "gpu_supply_demand": "$9.99 \u2014 device-level GPU breakdown for io.net + Akash + Golem by model. Available vs in-use are kept SEPARATE \u2014 an idle GPU and a hired one are never merged. Live counts, not a snapshot.",
    "sector_health_index": "$4.99 \u2014 composite health score per category (compute, storage, wireless, etc.) with A-F grades. Covers market presence, revenue, data coverage, dilution.",
    "geo_concentration": "$4.99 \u2014 geographic distribution + concentration risk. GRASS: 190 countries. Per-country node breakdown.",
    "dev_velocity": "$4.99 \u2014 GitHub activity for 56 networks. Stars, forks, issues, days-since-push. Active vs dormant classification.",
    "competitive_landscape": "$9.99 \u2014 category-level market share with HHI. 14 categories analyzed.",
    "market_regime": "$14.99 \u2014 GDIE market-state oracle: regime probabilities (BEAR/BULL/CRISIS/\u2026), 0-100 stability index, Lyapunov + surrogate-validated chaos diagnostics, persistent-homology topology, and a Koopman transition operator that beats persistence walk-forward on live BTC. Detects WHAT STATE the market inhabits \u2014 not price predictions.",
    "depin_intel_bundle": "$29.99 \u2014 all 8 products ($59.92 bought separately), including 504 AI deep analysis entries with conviction/health/sustainability/moat scores.",
    "endpoints": "GET /v1/node-quality, /v1/dilution-risk, /v1/gpu-supply-demand, /v1/sector-health, /v1/geo-concentration, /v1/dev-velocity, /v1/competitive-landscape, /v1/market-regime, /v1/intel"
  },
  "quantitative_intelligence": {
    "crypto_indicators": "$4.99 \u2014 SMA, EMA, RSI, MACD, VWAP for 14 major crypto assets. Latest 100 bars with OHLCV.",
    "signal_ledger": "$9.99 \u2014 hash-chained trading signals for 73 assets. Each signal links to the previous via prev_hash, creating a tamper-evident audit trail.",
    "lead_lag_correlations": "$7.99 \u2014 every hourly lead-lag correlation run (telemetry and market driver series vs BTC/ETH/SOL returns, same hour and 1h later) with Pearson r, p-value and a Benjamini-Hochberg q-value computed within each run; significance is counted in the latest run, never pooled across runs.",
    "note": "derived quantitative views \u2014 gated as cross-network capability"
  },
  "dag_manifold": {
    "dag_manifold_30d": "$99 \u2014 30 days of full Pro access: 1,000 manifold distance queries/day across the 32-dim non-abelian correlation engine. Delivered inline as a dag_ API key the moment you buy (no subscription, no email).",
    "how_to_buy": "POST /v1/credits/purchase {\"product_key\":\"dag_manifold_30d\"} after a topup",
    "free_tier": "10 requests/day, no key needed",
    "docs": "https://dag.kairossignal.com/llms.txt"
  },
  "mcp_query": "$0.05/query",
  "design_partner": "$199/mo \u2014 full network breadth, 30-day daily history, active engines and cross-network views; Watchtower, exports and webhooks excluded, rate locked for the life of the subscription. Pay: https://buy.stripe.com/dRm00b9zT81o5a50Na1ZS20",
  "free_tier": "$5 in credits on signup \u2014 no card, no human. Limit 3 per originating IP per 30 days; past that a new key is created at $0 and says so.",
  "topup_methods": [
    "Stripe prepaid",
    "USDC on Base (verified wallet)"
  ],
  "crypto_status_endpoint": "/v1/credits/crypto",
  "crypto_topup": "USDC on Base available after sender verification and a current quote; see /v1/credits/crypto",
  "payment_link": "https://buy.stripe.com/dRm00b9zT81o5a50Na1ZS20",
  "one_shot_snapshot": {
    "what": "API credits by card, not a dataset: a key holding the credits is provisioned at checkout, for any product, e.g. depin_provenance ($0.49), the 168-network first-party supply snapshot",
    "price": "$4.99 (posts as $4.99 API credits, $1 = 1 credit)",
    "pay": "https://buy.stripe.com/14A28j6nH3L85a5gM81ZS28",
    "no_subscription": true,
    "after_payment": "redirect auto-provisions your key; GET /v1/credits/by_session?session_id=<id> if you lose it"
  },
  "derivation_replay": {
    "what": "Derivation Ledger full access \u2014 raw upstream payloads, SHA-256 of every fetch, exact collector code hash per metric. Replay our pipeline: origin -> pinned code -> published value.",
    "price": "$2.99 per full-payload pull (index is free at GET /v1/derivation)",
    "no_subscription": true,
    "why": "A hash proves integrity, not derivation. This proves both \u2014 divergence from origin is mechanically detectable."
  }
}