Building the Trust Layer for AI Trading Agents

#ai #python #mcp #api

The Problem

AI trading agents blindly trust their data sources. They call Alpha Vantage or Polygon, get a number back, and assume it's accurate. But how often is that data actually fresh? What's the real uptime? Is the "real-time" feed actually real-time?

There's no Yelp for data APIs. No credit score. No independent verification.

The Insight

Agents need a "credit bureau" for APIs — an independent third party that continuously monitors quality and publishes transparent scores.

What I Built

OathScore does two things:

1. World State in One Call

The /now endpoint returns everything a trading agent needs to know right now:

Which exchanges are open (CME, NYSE, NASDAQ, LSE, EUREX, TSE, HKEX)
Volatility regime (VIX, VVIX, VIX9D, VIX3M, SKEW, term structure)
Economic events (next event, FOMC/CPI countdowns, weekly high-impact count)
Data health status

One call replaces 4-6 separate API calls. Try it: https://api.oathscore.dev/now

2. Quality Ratings

Independent 0-100 composite scores for 7 financial data APIs:

Metric	Weight
Accuracy	35%
Uptime	20%
Freshness	15%
Latency	15%
Schema stability	5%
Documentation	5%
Trust signals	5%

Currently monitoring: Alpha Vantage, Polygon, Finnhub, Twelve Data, EODHD, FMP, Curistat. Scores publish after 30 days of baseline data.

For AI Agents: MCP Server

OathScore is an MCP (Model Context Protocol) server with 8 tools. Claude, GPT, CrewAI, or any MCP-compatible agent can natively call:

get_now — full world state
get_score — quality rating for any monitored API
compare_apis — side-by-side comparison
get_alerts — active degradation alerts

Micropayments with x402

Instead of API keys and monthly subscriptions, agents can pay per request using USDC stablecoins via the x402 protocol. When rate-limited, the API returns 402 Payment Required with payment instructions. No signup needed.