GVNR
Gvnr
Substrate primitives for AI agents — spend caps, rate limits, idempotency, post-call reconciliation, human approval bridges. One MCP endpoint, one credit pool, no infrastructure to deploy.
Listed on the Official MCP Registry as dev.gvnr/gvnr.
No deployment. No proxy. No self-hosting.
The problem
Agents cost 10–12x more than estimated in production. System prompts, retry loops, and tool calls multiply fast. A runaway agent can generate a $47,000 bill in 11 days. The common fix — self-hosting LiteLLM — requires running infrastructure most developers won't set up.
Gvnr is the hosted alternative: an external authority your agent checks before spending.
How it works
Your agent calls
budget_clear(MCP tool or REST) before each LLM requestThe governor checks your account credit balance and the agent's spend envelope
It returns
{ approved: true }or{ approved: false, reason: "..." }If denied, your agent skips the call
The envelope is configured by you (per-agent daily or session cap). The credit balance is topped up via USDC on Base.
Quick start
1. Provision an account
curl -X POST https://gvnr.dev/v1/account
# { "api_key": "bg_...", "account_id": "..." }2. Top up credits
Open the payment page for your chosen pack, pass your API key as a query param:
https://gvnr.dev/pay/starter?api_key=bg_YOUR_KEYSend USDC on Base to the address shown, paste your tx hash — credits are added after on-chain verification.
Or, if you prefer the programmatic path — POST the tx hash directly:
curl -X POST \
-H "Authorization: Bearer bg_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"tx_hash":"0x..."}' \
https://gvnr.dev/v1/account/topup-verify/starter3. Set a spend envelope for your agent
curl -X PUT \
-H "Authorization: Bearer bg_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"agent_id":"my-agent","limit_usd":5,"window":"daily"}' \
https://gvnr.dev/v1/budget/envelope
# { "success": true, "agent_id": "my-agent", "limit_usd": 5, "window": "daily" }4. Set a rate envelope per (agent, provider, model)
curl -X PUT \
-H "Authorization: Bearer bg_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"agent_id":"my-agent","provider":"anthropic","model":"claude-sonnet-4-6","requests_per_minute":30}' \
https://gvnr.dev/v1/rate/envelope
# { "success": true, ... }5. Before each LLM request: budget_clear then rate_check
curl -X POST \
-H "Authorization: Bearer bg_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"agent_id":"my-agent","model":"claude-sonnet-4-6","estimated_tokens":2000}' \
https://gvnr.dev/v1/budget/clear
# { "approved": true, "remaining_usd": 4.994 }
curl -X POST \
-H "Authorization: Bearer bg_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"agent_id":"my-agent","provider":"anthropic","model":"claude-sonnet-4-6"}' \
https://gvnr.dev/v1/rate/check
# { "allowed": true, "requests_remaining_this_minute": 29 }6. (optional) Dedupe retries with idempotency_check
curl -X POST \
-H "Authorization: Bearer bg_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"key":"job-abc-123","ttl_seconds":3600}' \
https://gvnr.dev/v1/idempotency/check
# First call: { "is_first_call": true, "ttl_remaining_seconds": 3600 }
# Replay: { "is_first_call": false, "ttl_remaining_seconds": 3598 }7. After the LLM responds, reconcile against actual usage
curl -X POST \
-H "Authorization: Bearer bg_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"agent_id":"my-agent","actual_input_tokens":1800,"actual_output_tokens":2400}' \
https://gvnr.dev/v1/budget/reconcile
# { "ok": true, "drift_usd": 0.003, "remaining_usd": 4.991, "balance_usd": 9.991 }reconcile is optional but keeps the envelope honest — Anthropic, OpenAI, and Gemini all return usage fields with the actual token counts; pass those in.
MCP setup
Add to Claude Desktop or any MCP-compatible client:
https://gvnr.dev/mcp?api_key=bg_YOUR_KEYClaude Code
claude mcp add gvnr --transport http \
"https://gvnr.dev/mcp?api_key=bg_YOUR_KEY"MCP tools
Tool | Description |
| Check clearance and deduct estimated cost |
| Create or update an agent's spend envelope |
| Get current account credit balance |
| Apply the drift between estimated and actual cost after the LLM responds |
| Allocate a per-(agent, provider, model) rate share |
| Approve or deny based on the rate envelope; returns |
| Dedupe retries on a caller-supplied key; returns |
REST API
All endpoints (except POST /v1/account) require Authorization: Bearer bg_YOUR_KEY.
Account
Method | Path | Description |
|
| Provision account — returns |
|
| Current credit balance |
|
| Public — pack details, USDC address, raw amount |
|
| Submit tx hash → verify on-chain → credit account |
|
| x402-gated credit top-up (machine clients) |
Budget
Method | Path | Description |
|
| Clearance call — approve or deny |
|
| Create or update agent envelope |
|
| Read envelope state |
Clearance response
{ "approved": true, "remaining_usd": 4.994 }{ "approved": false, "remaining_usd": 0, "reason": "envelope_exceeded" }Denial reasons: no_credits · no_envelope · envelope_exceeded
Credit packs
Top up at GET /pay/:pack?api_key=bg_YOUR_KEY. Send USDC on Base mainnet — credits added after on-chain verification.
Pack | Price | Clearances | Link |
| $19 | ~10k/month |
|
| $39 | ~30k/month |
|
| $79 | ~100k/month |
|
Envelope windows
daily— resets at UTC midnight each daysession— never resets (use for one-shot tasks)
Supported models
Model pricing is a static lookup on the hot path — no external calls. Includes claude-opus-4-7, claude-sonnet-4-6, claude-haiku-4-5, gpt-4o, gpt-4o-mini, and others. Embedding models (text-embedding-3-small/large, gemini-embedding-001/2) are billed input-only — pass input tokens to budget_clear for those. Unknown models fall back to a conservative default.
Network
| Chain | Notes |
| Base Sepolia | Testnet — safe for development |
| Base mainnet | Real USDC |
Current deployment: Base mainnet.
License
MIT — see LICENSE.
The canonical hosted service is at https://gvnr.dev. Self-hosted instances are unaffiliated.
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