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Causal Attribution API

Website: https://causalmma.com API Base URL: https://api.causalmma.com

Professional-grade marketing attribution powered by causal inference. Go beyond correlation—prove which channels actually cause conversions.

About

Scientific marketing attribution that reveals true cause-and-effect relationships in customer journeys using 8 verified causal inference methods from economics and medicine. 60-75% more affordable than competitors like Windsor.ai, Northbeam, and Rockerbox.

Features

  • 🔬 8 Scientific Causal Inference Methods: Doubly Robust Estimation, Propensity Score Matching, Instrumental Variables, Shapley Values, PC Algorithm, and more
  • 📊 7 Attribution Models: Data-driven (AI-powered), Shapley, Propensity Score, Instrumental Variables, Time Decay, Position-based, Linear
  • Fast Processing: 4-32ms average response time for real-time optimization
  • 🤖 AI Agent Integration: Works with OpenAI GPT-4, Anthropic Claude, LangChain
  • 💰 Transparent Pricing: Starting at $149/month (60-75% cheaper than competitors)
  • 🔒 Local SDK Available: 100% local processing for maximum data privacy and offline use

Deployment Options

Cloud API (Recommended)

  • Best for: Most users who want zero infrastructure costs
  • Pricing: $149-$799/month
  • Setup: Instant—just get an API key
  • Documentation: API Docs | Quick Start | Code Examples

Local SDK (Enterprise)

  • Best for: Organizations with existing AI infrastructure, strict data privacy requirements, or massive datasets (10M+ rows)
  • Pricing: Custom (typically $1,500-$8,000/month depending on deployment)
  • Benefits: 100% local processing, no data leaves your servers, 15-30x faster for large datasets, offline/air-gapped deployment
  • Documentation: SDK Docs

Quick Start (Cloud API)

curl -X POST https://api.causalmma.com/api/v1/attribution \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "touchpoints": [
      {
        "customer_id": "c1",
        "timestamp": "2025-01-01T10:00:00",
        "channel": "email",
        "conversion": 0
      },
      {
        "customer_id": "c1",
        "timestamp": "2025-01-01T12:00:00",
        "channel": "paid_search",
        "conversion": 1,
        "conversion_value": 100
      }
    ],
    "attribution_model": "data_driven"
  }'

Quick Start (Local SDK)

pip install causalmma-client
from causalmma_client import LocalEngine
import pandas as pd

engine = LocalEngine(
    api_key="ca_live_YOUR_API_KEY",
    control_plane_url="https://ops.causalmma.com"
)

df = pd.DataFrame([
    {"customer_id": "c1", "timestamp": "2025-01-01T10:00:00", "channel": "email", "conversion": 0, "ad_exposure": 1},
    {"customer_id": "c1", "timestamp": "2025-01-01T12:00:00", "channel": "paid_search", "conversion": 1, "conversion_value": 100, "ad_exposure": 1}
])

result = engine.analyze(df=df, model="data_driven", treatment="ad_exposure", outcome="conversion")
print(result)

Documentation

Attribution Models

Model Description Best For
data_driven AI-powered causal inference with doubly robust estimation Most accurate results
shapley Game-theoretic fair credit distribution Provably fair attribution
propensity_score Propensity score matching Comparing similar customers
instrumental_variables Two-stage least squares Handling unmeasured confounding
time_decay Recency-weighted attribution Recent touchpoints matter more
position First & last touch emphasized Awareness + conversion focus
linear Equal credit to all touchpoints Baseline comparison

Contact

Pricing

  • Starter: $149/month - 10K API requests, 100 req/min
  • Professional: $399/month - 50K API requests, 500 req/min (Most Popular)
  • Business: $799/month - 100K API requests, 1000 req/min
  • Enterprise: Custom - Unlimited requests, Local SDK option, Custom SLAs

All plans include:

  • 14-day free trial (no credit card required)
  • All attribution models
  • Statistical confidence intervals
  • Complete documentation
  • Email support

Why Choose Us?

  • True Causation, Not Correlation: 8 verified causal inference methods vs. correlation-based tracking
  • Statistical Certainty: Every result includes p-values, confidence intervals, and standard errors
  • Fast & Production-Ready: 4-32ms response time for real-time optimization
  • Academically Grounded: Methods from peer-reviewed economics and medical research
  • 60-75% More Affordable: $149-$799/month vs. $20K-$100K+/year for competitors
  • Developer-Friendly: Simple REST API, integrates in under 10 minutes

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Causal inference powered by Large Language Models

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