MCP server

Agent Revenue Network Official

com.agentrevenuenetwork/agent-revenue-network

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

Translation, data quality, execution verification and agent utilities over MCP + x402 USDC on Base.

Working at last checkVerified publisher: agentrevenuenetwork.comAbout 5,992 tokens per request once connected14 tools

Website

https://www.agentrevenuenetwork.com/mcp

At a glance

Type: MCP server
Publisher: agentrevenuenetwork.com (verified by the MCP Registry)
Status: Working at last check
Tools: 14
Token cost: About 5,992 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 28 Oct 2026, 09:03 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http agent-revenue-network https://www.agentrevenuenetwork.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.agent-revenue-network]
url = "https://www.agentrevenuenetwork.com/mcp"

Gemini CLI

{"mcpServers":{"agent-revenue-network":{"httpUrl":"https://www.agentrevenuenetwork.com/mcp"}}}

Cursor

{"mcpServers":{"agent-revenue-network":{"url":"https://www.agentrevenuenetwork.com/mcp"}}}

VS Code

{"servers":{"agent-revenue-network":{"type":"http","url":"https://www.agentrevenuenetwork.com/mcp"}}}

Antigravity

agy mcp add agent-revenue-network https://www.agentrevenuenetwork.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"agent-revenue-network","server_url":"https://www.agentrevenuenetwork.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"agent-revenue-network","server_url":"https://www.agentrevenuenetwork.com/mcp"}

Tools

dataset_profile ~258 tokens
Discover deterministic data-quality profiling for 1-5,000 JSON-object rows. Paid execution counts field presence, missing and null values, observed primitive types, primitive cardinality and exact duplicate rows without modifying input; use schema_infer to draft a flat-record contract or tabular_val
json_diff ~242 tokens
Discover a deterministic structural JSON diff between before and after values. Paid execution compares arrays by index and returns up to 1,000 added, removed or changed records with exact JSON paths and before/after evidence; it does not generate JSON Patch. Use json_normalize for stable serializati
json_normalize ~255 tokens
Discover deterministic JSON normalization for any JSON value: paid HTTP execution recursively sorts object keys, preserves array order and scalar values, and returns normalized structure plus a deterministic JSON string. Use it for stable comparisons, cache keys and repeatable payloads; use json_dif
json_schema_check ~360 tokens
Discover recursive JSON Schema checking for objects, arrays and scalars with exact JSON-path errors from ARN's bounded recursive JSON Schema subset. The supplied schema may combine type unions, required/properties, additionalProperties=false, items, enum/const, numeric bounds, string length or safe
object_contract_check ~494 tokens
Discover deterministic top-level JSON field validation for API payloads, automation and AI-agent handoffs. The value must be an object; schema.required finds absent fields, schema.properties.<field>.type finds primitive type mismatches, and additionalProperties=false reports unknown fields. Prefer t
release_evidence_diff ~1070 tokens
Discover deterministic comparison of a previous and current execution-evidence snapshot. Paid execution compares candidate identity metadata and all nine functional, security, privacy, copyright, regulatory, transaction-integrity, abuse, regression and economics outcomes; it reports regressions, rem
result_dedupe ~304 tokens
Discover deterministic duplicate removal for JSON-record arrays and structured research results. Supply one to eight identity fields: paid execution forms a typed composite key, preserves the first occurrence in original order, and reports exact input, output and duplicate counts; use dataset_profil
route_provider ~607 tokens
Rank up to 1,000 caller-supplied providers by quality, success rate, price and latency, returning one selection plus at most three alternates. Candidates marked unhealthy or priced above requirements.maxPrice are excluded; quality defaults to successRate and an empty eligible set returns selected=nu
schema_infer ~287 tokens
Discover conservative JSON Schema inference from multiple flat JSON-object records for imports, API contract drafting or validation setup. Paid execution emits stable observed primitive/null type unions and marks a field required only when every row contains a non-null value; nested objects and arra
score_opportunity ~397 tokens
Calculate risk-adjusted expected profit, margin and eligibility for one proposed opportunity before execution. Supply revenue, execution cost and any tool costs, fees or failure loss in one consistent monetary unit; omitted tool costs and fees are zero, while omitted failure loss defaults to total c
tabular_diff ~305 tokens
Discover row-level comparison between two JSON-record tables keyed by one unique field. Paid execution reports added and removed keys plus changed rows with field-level evidence while preserving deterministic order; CSV or spreadsheet rows must be converted to JSON first. Use json_diff for arbitrary
tabular_validate ~307 tokens
Discover deterministic pre-import validation for JSON-record tables, including CSV or spreadsheet rows converted to JSON. Paid execution checks every row for required columns and declared primitive types and returns bounded row-and-field errors; use object_contract_check for one object or json_schem
verified_translation ~476 tokens
Discover QA-verified translation for up to 2,000 characters on calibrated EN→ES, EN→FR, ES→FR and FR→ES routes. sourceLang defaults to EN, targetLang selects ES or FR, protectedTerms must remain unchanged, and optional context, domain or locale hints guide approved memory and wording; live locale re
verify_execution ~630 tokens
Discover deterministic acceptance checking for an automated task or agent execution across nine explicit functional, security, privacy, copyright, regulatory, transaction-integrity, abuse, regression and economics gates. All nine caller-supplied booleans must be true; paid execution returns the cand

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