Agent Revenue Network

dev.workers.nadirventurelabs.agent-revenue-network/agent-revenue-network · v0.7.0

Paid deterministic data-quality and execution-verification tools for AI agents.

MCPremoteno credentialsDocuments & PDF

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Last check

Reachable, 13 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 88/100

What it does: 13 tools · 13 read, 0 write · Research & education, Documents & PDF

No tool could be tested safely. Only read-only tools that need no input are called.

How the rating is made

Answers without login: +30
Speed of first answer: +10
Lists tools: +10
Tool descriptions: +15
Parameter descriptions: +10
Read/write annotations: +5
Safe test call: +8
More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL

https://agent-revenue-network.nadirventurelabs.workers.dev/mcp

Tools

13 tools listed at last check

score_opportunity Estimate risk-adjusted expected profit and margin for one opportunity before execution. Use it as an economics screen, not as proof that funding, escrow, requirements, or buyer legitimacy are valid. It is read-only and returns expectedProfit, margin, and eligibility using ARN's current minimums.
route_provider Rank the provider candidates supplied in this call using quality, reliability, price, and latency, while excluding unhealthy or over-budget entries. Use only when you already have comparable provider metrics; this tool does not discover providers or verify the supplied measurements. It is read-only.
json_normalize Perform JSON normalization by recursively sorting object keys to produce stable structure and a deterministic JSON string. Use for comparisons, cache keys, repeatable payloads, or pre-signing preparation; do not use as RFC 8785/JCS canonicalization. This MCP call is read-only and does not charge: it
object_contract_check JSON field validation for API payloads, automation and AI-agent handoffs. Find missing required fields, unknown fields and primitive type mismatches against a caller-supplied top-level contract. Prefer this for new simple object contracts and deterministic API payload validation; use json_schema_che
json_schema_check Perform recursive JSON Schema checking for objects, arrays or scalars with a bounded recursive JSON Schema subset. Supports type unions, required, nested properties, additionalProperties=false, array items, enum, const, minimum/maximum, min/max length, safe regular-expression patterns, min/max items
json_diff Compare JSON values with a deterministic structural JSON diff that reports exact JSON paths. Use for machine-readable change detection; arrays are compared by index and the result is capped at 1,000 changes, so this is not a JSON Patch generator. This MCP call is read-only and returns x402 execution
dataset_profile JSON dataset profiling and data quality: profile 1-5,000 JSON-object rows for presence, missing/null counts, observed primitive types, primitive cardinality, and exact duplicate rows. Use for quick deterministic data-quality inspection, not statistical inference or schema validation. This MCP call i
verify_execution Check whether an automated task or agent execution passed explicit functional, security, privacy, copyright, regulatory, transaction-integrity, abuse, regression, and economics gates. Use for post-execution agent-job acceptance or a release gate only AFTER independent trusted verifiers supply all ni
verified_translation Translate text with verified Spanish translation and French translation, up to 2,000 characters across calibrated EN→ES, EN→FR, ES→FR and FR→ES routes using protected-token preservation, semantic back-translation verification, and approved translation memory when available. A locale hint such as fr-
result_dedupe Remove duplicate rows from JSON arrays and structured research results using one to eight caller-selected identity fields while preserving the first occurrence. Use for deterministic result deduplication before import, analysis or agent handoff. This MCP discovery call is read-only and returns x402
schema_infer Infer a conservative JSON schema from multiple flat JSON records for database import, API contract drafting or validation setup. Returns stable observed primitive/null types and marks a field required only when present and non-null in every row. Nested objects and arrays are rejected rather than gue
tabular_diff Compare two keyed JSON record sets and identify added, removed and changed rows. Use for row-level comparison keyed by one unique field; for arbitrary JSON structures use json_diff. CSV or spreadsheet rows must be converted to JSON first. This MCP discovery call is read-only and returns x402 executi
tabular_validate Validate JSON-record tables before import, automation or handoff. Use for row-by-row required-column and primitive-type checks; for one object use object_contract_check, or use json_schema_check when an existing JSON-Schema-shaped contract must be checked. CSV or spreadsheet rows must be converted t

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