Implement ACP affiliate attribution — privacy-preserving affiliate tracking without cookies using token-based first-touch and last-touch attribution. Use when building affiliate programs, referral tracking, or partnership attribution.
Scanned 5/29/2026
Install to Claude Code
npx -y skills add OrcaQubits/agentic-commerce-skills-plugins --skill acp-affiliate-attribution --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Acp Affiliate Attribution?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/orcaqubits-acp-affiliate-attribution)More formats (shields.io, HTML) on the badges page.
---
name: acp-affiliate-attribution
description: >
Implement ACP affiliate attribution — privacy-preserving affiliate tracking
without cookies using token-based first-touch and last-touch attribution. Use
when building affiliate programs, referral tracking, or partnership
attribution.
---
# ACP Affiliate Attribution
## Before writing code
**Fetch live docs**:
1. Web-search `site:github.com agentic-commerce-protocol rfcs affiliate_attribution` for the affiliate attribution RFC
2. Fetch `https://developers.openai.com/commerce/specs/checkout/` for how attribution integrates with checkout
3. Web-search `site:github.com agentic-commerce-protocol spec json-schema affiliate` for the schema
## Conceptual Architecture
### What Affiliate Attribution Does
ACP's affiliate attribution extension provides **privacy-preserving affiliate tracking without cookies**. It replaces traditional cookie-based tracking with structured tokens that respect buyer privacy while enabling fair commission attribution.
### Key Properties
- **Write-only** — Attribution data is sent to the merchant but NEVER echoed back in responses. This prevents information leakage.
- **Privacy-preserving** — No third-party cookies, no cross-site tracking, no browser fingerprinting
- **Token-based** — Attribution uses opaque tokens rather than personally identifiable data
- **Two attribution models**: First-touch and last-touch
### Attribution Models
| Model | Description |
|-------|-------------|
| **First-touch** | Credit goes to the first affiliate that referred the buyer |
| **Last-touch** | Credit goes to the most recent affiliate before purchase |
### How It Works
1. Affiliate generates a tracking token (opaque identifier)
2. When buyer clicks affiliate link, the agent receives the attribution token
3. Agent includes first-touch attribution data on create (`POST /checkout_sessions`) and last-touch attribution data on complete (`POST /checkout_sessions/{id}/complete`)
4. Merchant receives attribution and records it for commission processing
5. Merchant NEVER returns attribution in responses (write-only)
### Data Flow
```
Affiliate → Token → Agent → Checkout Session (attribution field) → Merchant
↓
Commission Processing
```
### Privacy Compliance
- No PII in attribution tokens
- Tokens are opaque — cannot be reverse-engineered to identify individuals
- Write-only prevents downstream data leakage
- Compliant with GDPR/CCPA by design
- No cross-session tracking without buyer consent
### Extension Negotiation
Like all extensions, affiliate attribution must be negotiated:
1. Agent includes `affiliate_attribution` in `capabilities.extensions[]`
2. Merchant confirms support
3. Only then is attribution data included in requests
### Use Cases
- Affiliate marketing programs
- Influencer referral tracking
- Partnership commission attribution
- Referral program management
- Marketing channel attribution
### Best Practices
- Generate unique, opaque tokens per affiliate
- Support both first-touch and last-touch models
- Process attribution asynchronously — don't block checkout
- Never echo attribution data in responses (enforce write-only)
- Build commission reports from stored attribution data
- Test with multiple attribution scenarios (direct, single affiliate, multiple affiliates)
Fetch the affiliate attribution RFC for exact token format, attribution object structure, and write-only enforcement rules before implementing.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!