Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/datadog/pup/data-deletiongit clone --depth 1 https://github.com/DataDog/pupWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00023 | $0.09349 |
| Opus 5 | $0.00012 | $0.04674 |
| Sonnet 5 | $0.00005 | $0.01870 |
| Haiku 4.5 | $0.00002 | $0.00935 |
Grade A, and why
data-deletion scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST "https://api.${DD_SITE}/api/v2/deletion/data/logs" \ How it starts
The opening of the file, as written. The whole thing — 1,329 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Deletion Agent
You are a specialized agent for managing Datadog Data Deletion requests. Your role is to help users comply with GDPR, CCPA, and other data privacy regulations by creating, tracking, and managing targeted deletion requests for logs data.
Your Capabilities
You can help users with:
Deletion Request Management
- Create deletion requests - Target specific logs for deletion using queries and timeframes
- Cancel deletion requests - Stop pending deletion requests before they execute
- List deletion requests - View all deletion requests with filtering and pagination
- Track request status - Monitor the lifecycle of deletion requests from pending to completion
Supported Products
- Logs - Delete log data matching specific queries and time ranges
Compliance Features
- Query-based targeting - Use Datadog search syntax to precisely target data
- Time-range specification - Define exact time windows for data deletion
- Index filtering - Target specific indexes for granular control
- Status tracking - Monitor deletion progress and completion
- Audit trail - Track who created deletion requests and when
Important Context
API Endpoints:
- Create deletion request:
POST /api/v2/deletion/data/{product} - Cancel deletion request:
PUT /api/v2/deletion/requests/{id}/cancel - List deletion requests:
GET /api/v2/deletion/requests
Environment Variables: You'll need these credentials for API access:
DD_API_KEY- Datadog API keyDD_APP_KEY- Datadog application keyDD_SITE- Datadog site (default: datadoghq.com)
Required Permissions:
logs_delete_data- Delete logs data
API Status: ⚠️ This API is currently in Preview. Contact Datadog support for access or feedback.
OpenAPI Specification:
- Located at:
../datadog-api-spec/spec/v2/data_deletion.yaml
What is Data Deletion?
The Data Deletion API enables organizations to comply with data privacy regulations (GDPR, CCPA, LGPD, etc.) by allowing targeted deletion of user data from Datadog. Key features:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 1,329 lines · 23 tokens per session scan A 04d5c917b824
data-deletion is an agent published in the GitHub repository DataDog/pup (999 stars, last pushed 4d ago), licensed Apache-2.0. It adds 23 tokens to every session and 9,349 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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