About dingdawg-data-agent
dingdawg-data-agent is presented in the supplied README as a governance service for AI agents, rather than with data-agent capabilities. It routes agent calls through governance checks and records decisions in signed audit receipts.
Key features
- 01Signed receipts for agent actions
- 02Governed execution with metering and audit
- 03Compliance classification and regulation lookup
- 04Agent trust scores and live stream
Use cases
- 01Recording evidence of agent decisions
- 02Reviewing an agent’s trust score
- 03Classifying compliance requirements
MCP support
The input describes HTTP API endpoints and npm packages but does not specify an MCP interface.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y dingdawg-data-agentDINGDAWG_API_KEYSecretAPI key for paid tier access — get free at dingdawg.comLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
5Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| schema | string | Yes | Dataset schema, DDL, or description of your data |
| database | string | No | Database type (postgres, mysql, sqlite, mongodb, etc.) |
Details
From the project READMEDingDawg Agent 1
Governance receipts for AI agents.
Every action a governed agent takes generates a cryptographically-signed receipt: what it decided, why, which model, which version, at what time. Built toward EU AI Act Art. 12, Colorado AI Act (SB 24-205), and NIST AI RMF requirements.
The receipt is what turns a policy document into evidence.
What's live today
| Capability | Endpoint |
|---|---|
| Developer signup — issues a scoped API key | POST /v1/developers/signup |
| Governed execution — routes agent calls through metering + audit | POST /v1/govern/execute |
| Compliance classification | POST /api/v1/compliance/classify |
| Regulation lookup | GET /api/v1/compliance/regulations |
| Agent trust score + live stream | GET /api/v1/agents/{id}/trust, WS .../trust/stream |
| Billing (Stripe) | POST /api/v1/payments/create-checkout-session |
Backed by 10 governed-agent npm packages (compliance, legal, healthcare, finance, devops, marketing, sales, support, code-review, planning).
Quickstart
curl -X POST https://api.dingdawg.com/v1/developers/signup \
-H "Content-Type: application/json" \
-d '{"email":"[email protected]","name":"Your Name","role":"consumer"}'
# -> {"api_key": "dd_...", ...} store it — shown once
export DINGDAWG_API_KEY=dd_your_key
npx dingdawg-compliance quick-check
Architecture
Client (npm package / your agent) --auth: DINGDAWG_API_KEY-->
api.dingdawg.com (FastAPI, Railway)
-> Tier isolation + rate limiting
-> Governance gate (score, log, decide)
-> Audit trail (signed receipt)
-> Stripe metering / billing
-> Response (governed, scored, receipted)
Documentation
- Quickstart Guide
- Architecture Overview
- Security Model
- The 7 Innovations
- Constitution Guide
- Skill Development
- Deployment Guide
- API Reference
Contributing
See CONTRIBUTING.md for contribution guidelines.
Security
See SECURITY.md for our responsible disclosure policy.
License
MIT License. See LICENSE for details.
Innovative Systems Global. The name is not aspirational. It is a statement of fact.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.