Transaction Intelligence Data

Anonymized Transaction Analytics for Data Teams.

Structured, aggregated transaction datasets covering merchant activity, payment distribution, and settlement performance, built for benchmarking, analytics, and market intelligence.

Data Categories
4
Merchant, payment, settlement, and fee
Delivery Formats
3
CSV, Parquet, and API-ready exports
Avg Settlement
8.4h
latency tracked across segments
Payment Channels
Card, ACH, Wallet
anonymized mix analytics
Released Tables

Table-Centric by Default

Each release groups complete data, schema, sample rows, and documentation together by table.

Core Merchant

Merchant Cashflow

339 rows

Merchant-level deposits, payouts, net value, payout ratios, concentration, and activity windows.

User Value

User Profitability

Available

Merchant-scoped hashed user value, deposit frequency, payout activity, and cashout timing.

Whale Signals

Whale Segments

Available

Merchant-scoped user classifications based on value, deposit totals, and payout behavior.

Integrity

Uncategorized Payouts

Available

Buyer-safe view of unresolved payout records kept separate from merchant-level cashflow totals.

Identity Edge

Network User Identity

Available

Hashed identity-edge table connecting merchant-local users into network-level analysis.

Network Value

Network User Summary

Available

Global hashed user summaries across merchants, deposits, payouts, active days, and network segment.

Delivery & Coverage

Analytics-Ready by Default

Everything you need for immediate integration into your data stack.

Delivery Formats

CSV, Parquet, and API-ready exports for direct integration into your data stack.

Update Frequency

Recurring dataset updates to keep your analytics current.

Structured Data

Analysis-ready aggregated transaction tables, normalized and consistent.

Coverage

Merchant cashflow, user value, network identity, whale segments, and payout integrity.

tables/merchant_cashflow/schema.json
Sample Schema
ColumnType
merchant_idstring
total_depositsdecimal
total_payoutsdecimal
net_revenuedecimal
payout_ratiodecimal
deposit_user_countinteger
last_activity_attimestamp

Example schema from the current table-centric release contract. Full data delivery stays gated.

Example Insights

Analytical Value, Demonstrated

See the analytical value derived from TxnMetrics aggregated datasets.

Merchant Analytics4-week sample

Transaction Volume Trends

Aggregated weekly volume patterns

$9.4M
Total 4-week sample volume

Track merchant activity patterns and identify peaks across your network.

Channel MixAnonymized

Payment Method Distribution

Channel mix across merchant segments

65%card dominant
Card, Wallet, ACH, and Other

Understand payment method adoption and optimize processing strategy.

SettlementLatency data

Settlement Performance

Cumulative settlement by time bucket

95%settled within 8h
p50, p75, and p95 latency tracked

Monitor settlement timelines and improve cash flow forecasting.

Who Uses TxnMetrics

Built for Data-Driven Teams

Built for teams that need reliable, structured transaction intelligence to fuel analytics, research, and strategic decision-making.

  • Fintech analytics teams
  • Market intelligence researchers
  • Risk and fraud monitoring teams
  • Merchant benchmarking analysts
  • Alternative data researchers

Typical Use Cases

Benchmarking & Analysis

Compare merchant performance, payment trends, and settlement efficiency against industry benchmarks.

Market Intelligence

Track payment method adoption, emerging merchant segments, and transaction volume trends.

Risk & Compliance

Monitor settlement patterns, detect anomalies, and maintain compliance with aggregated insights.

Data Principles

Privacy & Structure by Design

Privacy, structure, and responsibility at the core of everything we do.

Anonymized & Aggregated

All datasets are anonymized and aggregated by design. No individual transaction data is ever exposed.

No PII

Personally identifiable information is never included. Privacy is a structural guarantee, not a policy.

Analysis-Structured

Structured for direct integration into analytics pipelines, dashboards, and benchmarking workflows.

Responsible Usage

Designed to support responsible data usage for analytics, intelligence, and compliance use cases.

Why TxnMetrics

Transaction Intelligence for Serious Data Work

Access clean, aggregated data on merchant activity, payment behaviors, and settlement performance, built for analytics teams that require precision.

Clean Structured Data

Well-organized, analysis-ready transaction tables designed for immediate integration into analytics pipelines.

Merchant Activity Insights

Detailed merchant-level metrics including transaction volume, velocity trends, and performance benchmarks.

Payment Behavior Trends

Comprehensive payment method distribution and settlement performance data for market intelligence.

Built for recurring analysis

All datasets are anonymized, aggregated, and structured for benchmarking, research, and production analytics workflows.

Request Access

Tell us what you need from the dataset.

Share your use case and team context. We review each request carefully and typically respond within 1-2 business days.

Access Overview

Get access to TxnMetrics datasets.

Request dataset access or partnership information. Our team reviews each request and responds within 1-2 business days.

  • Anonymized & aggregated datasets
  • Analytics-ready formats - CSV, Parquet, and API
  • Recurring update delivery
  • Merchant, payment, settlement, and fee coverage

Direct contact

contact@txnmetrics.com

Request dataset access

A short note on your use case helps us route the request quickly.