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KAIROS Signal Data Platform

The only comprehensive DePIN dataset. 350+ projects, 254+ variables per project, 800,000+ global sensors. All cleaned, normalized, and cross-validated against physical infrastructure reality. Delivered through API — query everything with standard SQL.

Delivery: REST API + WebSocket (all tiers)
Format: SQL-queryable tables in your API environment
Schema: KAIROS_SIGNAL database with structured views
REST API: Coming soon — currently in development

Technical Brief

KAIROS Signal is a vertically-integrated data intelligence platform purpose-built for decentralized physical infrastructure networks (DePIN). Rather than repackaging existing exchange feeds, we built a multi-layer ingestion and analysis pipeline that connects five distinct data domains:

1. DePIN Project Layer

Direct ingestion from 350+ DePIN project APIs, on-chain contracts, and validator endpoints. We collect node count, uptime, throughput, capacity, earnings, churn rate, geographic distribution, and 240+ additional variables per project. Each collector runs on a concurrent pipeline with configurable refresh cadence.

2. Solana On-Chain Layer

Dedicated RPC connections to Solana mainnet for real-time token analytics — supply, price, holder distribution, and DeFi activity across all Solana-native DePIN tokens. Separate market data collectors cross-reference pricing from multiple independent oracles.

3. Physical Sensor Network

800,000+ sensors from NOAA Space Weather, US Energy Grids (EIA), Maritime AIS, and 15+ government agencies. These physical-world signals are correlated with on-chain network performance to identify divergences invisible to pure financial analysis.

4. Exchange & Market Data

High-throughput WebSocket ingestion from major exchanges — order books, trades, funding rates, open interest, and liquidation events. Data is passed through an artifact rejection sieve before storage to eliminate anomalous ticks and bad data.

5. Analytical Engine (17 Layers)

All raw data passes through 17 proprietary analytical layers grounded in econophysics, information theory, and nonlinear dynamics:

Domain Methods Applied Output
Data Quality Artifact detection, outlier rejection, sanity thresholds Clean, validated data free of anomalous ticks
Econophysics Statistical mechanics, spectral analysis, fractal geometry, long-range dependence estimation Structural market properties invisible to standard TA
Game Theory Combinatorial Nash equilibria, multi-agent payoff modeling Participant behavior prediction and equilibrium detection
Information Theory Entropy measures, causal inference, directed information flow Order flow quality and cross-asset causality
Nonlinear Dynamics Chaos detection, regime classification, wavelet decomposition Market regime labels and transition probabilities
Cross-Domain Correlation Physical sensor × crypto correlation matrices, Reality Gap™ computation Divergence scores between on-chain claims and physical reality
Synthesis Composite scoring, health indices, AI-powered assessment, macro overlay Unified project grades, investment theses, and composite signals
17 layers total. The specific implementation of each layer is proprietary. The table above groups layers by methodological domain. beta users receive the computed outputs — scores, grades, regime labels, and signals — queryable via SQL in your own environment.

Data Pipeline Architecture

ARCHITECTURE
┌─────────────────────────────────────────────────────────────────────┐
│  INGESTION LAYER                                                     │
│  ┌──────────────┐ ┌───────────┐ ┌──────────┐ ┌──────────────────┐  │
│  │  DePIN APIs   │ │  Solana   │ │ Exchange │ │  Physical Sensor │  │
│  │  350+ direct  │ │  RPC +    │ │  WebSocket│ │  NOAA / EIA /   │  │
│  │  collectors   │ │  Oracles  │ │  Streams │ │  AIS / Gov      │  │
│  └──────┬───────┘ └─────┬─────┘ └─────┬────┘ └────────┬────────┘  │
│         └───────────────┴─────────────┴────────────────┘            │
│                                │                                     │
│                    L1 Sieve (artifact rejection)                     │
│                                ▼                                     │
│                   ┌────────────────────────┐                        │
│                   │   ClickHouse Cluster    │                        │
│                   │   48 tables · ~100M/day │                        │
│                   └───────────┬────────────┘                        │
│                               ▼                                     │
│                   ┌────────────────────────┐                        │
│                   │  17 Analytical Layers   │                        │
│                   │  Econophysics Engine    │                        │
│                   └───────────┬────────────┘                        │
│                               ▼                                     │
│              ┌──────────────────────────────┐                       │
│              │     ❄️  REST API + WebSocket  │  ← Primary Delivery  │
│              └──────────────────────────────┘                       │
│    ┌───────────┐   ┌────────────┐   ┌──────────────┐               │
│    │ REST API  │   │ WebSocket  │   │  Webhooks    │  ← Coming Soon│
│    └───────────┘   └────────────┘   └──────────────┘               │
└─────────────────────────────────────────────────────────────────────┘

Quick Start

All data is delivered via REST API + WebSocket. Once your beta access is provisioned, you'll receive access to the KAIROS_SIGNAL database in your API environment.

1. Subscribe & Get Access

STEPS# 1. Choose a plan at https://kairossignal.com/#access
# 2. Request Data Delivery (we provision within 24 hours)
# 3. Accept the data share in your email
# 4. Start querying

2. Connect to the Data Share

SQL EXAMPLE-- Once provisioned, the KAIROS_SIGNAL database appears in your account
-- No installation, no SDK, no API keys needed

USE DATABASE KAIROS_SIGNAL;
SHOW SCHEMAS;

-- You'll see:
-- DEPIN_CORE      → Project metrics, health profiles, grades
-- MARKET_DATA     → Ticks, funding rates, correlations
-- SENSOR_NETWORK  → 800K+ global sensors
-- INTELLIGENCE    → AI analysis, layer scores
-- SOLANA_ONCHAIN  → Transactions, whale alerts

3. Run Your First Query

SQL EXAMPLE-- Top DePIN projects by Reality Gap divergence
SELECT
    project_name,
    category,
    health_score,
    reality_gap,
    active_nodes,
    earnings_per_node
FROM KAIROS_SIGNAL.DEPIN_CORE.health_profiles
WHERE timestamp > DATEADD(hour, -1, CURRENT_TIMESTAMP())
ORDER BY reality_gap DESC
LIMIT 20;
Works with your existing stack. Query from dbt, Python, Tableau, Hex, Sigma, or any tool that connects to our API. No SDKs to install, no rate limits to worry about.

Plans & Data Delivery

Beta access includes REST API + WebSocket access. Full access is free during the closed beta. No payment required.

Plan Price Data Delivery Key Features
Explorer Free (Beta) Full Access 350+ project profiles, Reality Gap™ scores, regime tags, AI grades
Analyst Free (Beta) Full Access + Cross-correlations, funding data, sensor references, econophysics briefings
Full Signal Free (Beta) Full Access + All 17 analytical layers, full pipeline output, historical backfill
Enterprise Custom Full Access + Custom schemas, SLA, dedicated support, due diligence packages
No rate limits. Unlike API-based platforms, API access has no request throttling. Query as much as you need — your compute, your pace.

API Reference

GET /api/v1/projects Beta

Returns all 350+ DePIN project profiles with latest metrics.

REST API is coming soon. This endpoint is planned for Q2 2026. Today, query this data via API: SELECT * FROM KAIROS_SIGNAL.DEPIN_CORE.depin_stats

Response Fields

Field Type Description
slug string URL-safe project identifier
name string Project display name
category string DePIN category (compute, storage, wireless, sensor, etc.)
price_usd float Current token price in USD
market_cap float Market capitalization
active_nodes int Currently active network nodes
total_nodes int Total registered nodes
health_score float Composite health index (0–100)
reality_gap float Reality Gap™ divergence score
uptime_pct float Network uptime percentage
earnings_per_node float Daily earnings per node (USD)
EXAMPLE RESPONSE{
  "projects": [
    {
      "slug": "helium",
      "name": "Helium",
      "category": "wireless",
      "price_usd": 8.42,
      "market_cap": 1420000000,
      "active_nodes": 375420,
      "total_nodes": 982000,
      "health_score": 82.4,
      "reality_gap": 0.12,
      "uptime_pct": 94.7,
      "earnings_per_node": 0.18
    },
    ...
  ],
  "count": 352,
  "updated_at": "2026-02-15T10:20:00Z"
}
GET /api/v1/projects/{slug} Beta

Full profile for a single project — all 254+ variables.

Returns everything from the list endpoint plus deep network stats, enrichment data, AI intelligence, and grade assessments.

GET /api/v1/projects/{slug}/history Full Signal+

Historical time series for a project. Up to 90 days of data at configurable resolution.

Query Parameters

Param Type Default Description
days int 30 Number of days (max 90)
resolution string 1h 5m, 15m, 1h, 4h, 1d
GET /api/v1/reality-gap Beta

Reality Gap™ divergence scores for all projects. Measures the gap between on-chain claims and physical infrastructure reality.

A score of 0.0 = perfect alignment. Scores above 0.3 indicate significant divergence — the network's on-chain metrics don't match physical sensor verification.

EXAMPLE RESPONSE{
  "reality_gap": [
    {
      "project": "helium",
      "gap_score": 0.12,
      "on_chain_nodes": 982000,
      "verified_active": 375420,
      "confidence": 0.94,
      "last_verified": "2026-02-15T10:00:00Z"
    },
    ...
  ]
}
GET /api/v1/analytics/regime Full Signal+

Current regime classifications (HMM-based) and distribution across all tracked assets.

Regimes: trending_bull, trending_bear, mean_reverting, high_volatility, low_volatility, chaotic

GET /api/v1/account Beta

Your account info, tier, usage stats, and rate limit status.

Data Schema

KAIROS runs on 48 core tables. All tables are delivered through REST API + WebSocket. Your plan determines which tables you can access. Full Signal and Enterprise subscribers get access to the complete schema.

Beta access includes API access. Query with standard SQL in your own API environment. No API keys, no SDKs, no rate limits. Just SELECT and go.

DePIN Core Tables

📊 depin_stats

Core project metrics — price, nodes, revenue, uptime. Updated every 3 minutes.

Column Type Description
timestamp DateTime64(3) Collection timestamp
project_id String Unique project identifier
project_name String Display name
category String compute, storage, wireless, sensor, AI, etc.
price_usd Float64 Current token price
market_cap Float64 Market capitalization
volume_24h Float64 24h trading volume
active_nodes Int64 Active node count
total_nodes Int64 Total registered nodes
network_revenue Float64 Cumulative network revenue
revenue_24h Float64 Last 24h revenue
earnings_per_node Float64 Daily earnings per node (USD)
device_cost Float64 Estimated hardware cost
roi_days Float64 Estimated ROI in days
latency_ms Float64 Network latency
uptime_pct Float64 Network uptime %
sentiment_score Float64 Community sentiment (-1 to 1)
source String Data source identifier

🔬 depin_deep_intel

Deep network statistics — node growth, churn, capacity, geographic distribution. 30+ fields per project.

Column Type Description
total_nodes Int64 Total node count
active_nodes Int64 Active nodes
node_uptime_avg_pct Float64 Average uptime
earnings_per_node_24h_usd Float64 Daily earnings
estimated_roi_months Float64 ROI estimate
nodes_added_24h Int64 New nodes (24h)
nodes_added_7d Int64 New nodes (7d)
growth_rate_7d_pct Float64 Weekly growth rate
churn_rate_7d_pct Float64 Weekly churn rate
network_utilization_pct Float64 Capacity utilization
capacity_total Float64 Total network capacity
capacity_used Float64 Used capacity
network_revenue_24h_usd Float64 Network revenue (24h)
countries_covered Int32 Country count
geographic_concentration_pct Float64 Geographic concentration

💎 depin_enrichment

Market microstructure — funding rates, open interest, TVL, GitHub activity, liquidity depth. 40+ fields per project.

Column Type Description
fdv Float64 Fully diluted valuation
mc_fdv_ratio Float64 Market cap / FDV ratio
vol_mcap_ratio Float64 Volume / market cap ratio
price_change_1h/24h/7d/30d Float64 Price changes over various periods
ath Float64 All-time high price
github_stars/forks/watchers UInt32 GitHub repository metrics
github_last_commit String Last commit timestamp
funding_rate Float64 Perpetual funding rate
open_interest Float64 Open interest (USD)
long_short_ratio Float64 Long/short ratio
liquidity_depth_2pct Float64 Orderbook depth ±2%
tvl Float64 Total value locked
mcap_tvl_ratio Float64 Market cap / TVL ratio

🏥 depin_health_profiles

Composite health scoring with Reality Gap™.

Column Type Description
health_score Float32 Composite health (0–100)
reality_gap Float64 On-chain vs physical divergence
data_completeness_pct Float32 Variable coverage
profile_json String Full profile (JSON blob)

🎓 depin_grades

Investment grading — growth, utility, risk, AI thesis. Letter grades (A+ through F).

Column Type Description
overall_grade String Letter grade (A+ to F)
health_score Float32 Health component
growth_score Float32 Growth component
investment_score Float32 Investment attractiveness
utility_score Float32 Real utility assessment
risk_score Float32 Risk assessment
expected_apy Float32 Expected annual yield
ai_thesis String AI-generated investment thesis
ai_risk_factors String AI-identified risk factors

Market Data Tables

📈 market_ticks

Real-time price and volume ticks across all exchanges. ~1500 TPS ingestion rate.

Column Type Description
timestamp DateTime64(3) Tick timestamp (ms precision)
symbol String Trading pair (e.g. BTCUSDT)
price Float64 Trade price
volume Float64 Trade volume
source String Exchange (binance, bybit, okx, etc.)
sector String Sector tag

📊 funding_rates

Column Type Description
symbol String Perpetual contract symbol
rate Float64 Funding rate
open_interest Float64 Open interest (USD)
predicted_rate Float64 Next predicted rate

🔗 cross_correlations

Crypto × physical sensor correlation matrices. Updated hourly.

Column Type Description
crypto_symbol String Crypto asset
sensor_category String Sensor type
correlation_1h/4h/24h/7d Float64 Correlation over timeframes
p_value Float64 Statistical significance
signal_strength String strong, moderate, weak, none

Sensor Network

🌐 sensor_readings

800,000+ global sensors — NOAA, EIA, maritime, aviation, environmental.

Column Type Description
sensor_id String Unique sensor ID
network String Sensor network (NOAA, EIA, AIS, etc.)
name String Station/sensor name
latitude Float64 Latitude
longitude Float64 Longitude
category String temperature, wind, solar, maritime, aviation
measurements String JSON measurement blob
country String ISO country code
region String Geographic region

🌍 global_pulse

Macro indicators — VIX, DXY, US10Y, Fear & Greed, Bitcoin dominance.

Column Type Description
metric String Indicator name
value Float64 Current value

Intelligence Tables

🧠 depin_ai_intel

AI-generated intelligence — investment theses, risk factors, conviction scores. LLM-powered analysis per project.

Column Type Description
investment_thesis String AI-generated thesis
conviction_score Float64 AI conviction (0–1)
sector_health_score Float64 Sector health assessment
sustainability_score Float64 Long-term sustainability
moat_score Float64 Competitive moat strength
risk_factors String Identified risk factors
anomaly_flags String Detected anomalies

📉 layer_scores

17-layer analytical engine output per asset.

Column Type Description
symbol String Asset symbol
scores String JSON — all 17 layer scores
regime String Detected market regime
signal_direction String LONG / SHORT / NEUTRAL
weighted_conf Float64 Weighted confidence (0–1)

Solana On-Chain

solana_transactions

Full Solana transaction stream — DEX trades, vote transactions, program invocations.

Column Type Description
signature String Transaction signature
slot UInt64 Block slot
fee UInt64 Transaction fee (lamports)
success Bool Transaction success
is_dex Bool DEX trade flag
dex_name String DEX name if applicable
program_ids Array(String) Invoked program IDs

🐋 solana_whale_alerts

Large Solana transfers and whale movements.

Column Type Description
from_wallet String Sender wallet
to_wallet String Receiver wallet
token String Token transferred
amount Float64 Token amount
usd_value Float64 USD value
is_known_whale Bool Known whale flag
whale_name String Whale identifier

Data Delivery

All KAIROS data is delivered through REST API + WebSocket. This is the primary and recommended way to access the platform. No API keys, no SDKs, no rate limits.

Method Plan Status Description
❄️ REST API + WebSocket All plans ✅ Live Query with SQL in your API environment. No rate limits.
Custom Export Enterprise ✅ Live Isolated share, custom schemas, Parquet/CSV delivery
REST API TBD 🔧 In Dev JSON endpoints for programmatic access. ETA Q2 2026.
WebSocket TBD 📋 Planned Real-time streaming for live data feeds. ETA Q3 2026.
Webhooks TBD 📋 Planned Push notifications for Reality Gap™ alerts, regime changes. ETA Q3 2026.
Why API-first delivery? The platform handles auth, billing, scaling, and uptime. You get SQL access in your existing environment — works with dbt, Python, Tableau, Hex, Sigma, and anything else that connects to our API. No infrastructure to manage.

Sample Queries

Here are some queries to get you started once your data share is provisioned.

SQL EXAMPLE — Reality Gap-- All DePIN projects ranked by Reality Gap divergence
SELECT
    project_name,
    category,
    health_score,
    reality_gap,
    active_nodes,
    earnings_per_node
FROM KAIROS_SIGNAL.DEPIN_CORE.health_profiles
WHERE timestamp > DATEADD(hour, -1, CURRENT_TIMESTAMP())
ORDER BY reality_gap DESC
LIMIT 20;
SQL EXAMPLE — Cross-Correlations-- Crypto × physical sensor correlations
SELECT
    crypto_symbol,
    sensor_category,
    correlation_24h,
    p_value,
    signal_strength
FROM KAIROS_SIGNAL.MARKET_DATA.cross_correlations
WHERE ABS(correlation_24h) > 0.5
  AND p_value < 0.05
ORDER BY ABS(correlation_24h) DESC;
SQL EXAMPLE — AI Grades-- Investment grades with AI thesis
SELECT
    project_name,
    overall_grade,
    growth_score,
    utility_score,
    risk_score,
    ai_thesis
FROM KAIROS_SIGNAL.INTELLIGENCE.depin_grades
WHERE overall_grade IN ('A+', 'A', 'A-')
ORDER BY growth_score DESC;
SQL EXAMPLE — Regime Detection-- Current market regimes for DePIN tokens
SELECT
    symbol,
    regime,
    signal_direction,
    weighted_conf
FROM KAIROS_SIGNAL.INTELLIGENCE.layer_scores
WHERE regime = 'trending_bull'
  AND weighted_conf > 0.7
ORDER BY weighted_conf DESC;

What's Coming Next

API is our primary delivery today. Here's what we're building next.

Feature Status ETA Description
🔌 REST API In Development Q2 2026 JSON endpoints with API key auth for programmatic access
📡 WebSocket Streaming Planned Q3 2026 Real-time data streaming for live dashboards and trading systems
🧠 AI Query Layer Planned Q3 2026 Natural language → SQL interface for non-technical users
📊 Custom Dashboards Planned Q4 2026 Pre-built pre-built dashboards for project monitoring
🔔 Webhooks Planned Q3 2026 Push alerts for Reality Gap™ changes, regime shifts, whale movements

REST API Preview

The REST API is under active development. Below is the planned endpoint structure. When launched, API access will be available as an add-on to any access plan.

Not yet available. These endpoints are planned but not yet live. Use REST API + WebSocket for all current data access.

KAIROS Signal Labs · support@kairossignal.com · Home · Pricing

Data for informational and research purposes only. Not investment advice.