aion-indian-market-intelligence 1.0.3

AION Indian Market Intelligence client library and MCP server for structured event intelligence and sector incidence vectors. API key required for inference.

AION Indian Market Intelligence — Client Library

Structured event intelligence and sector incidence vectors for Indian financial markets.

Distribution name: aion-indian-market-intelligence.

Compatibility note: the Python import path remains aion_news_to_signal, and the legacy console entrypoint remains available for existing integrations.

This package provides:

• A Python client for the AION Indian Market Intelligence API
• An MCP server entrypoint for ChatGPT, Claude, Cursor, and other MCP-compatible tools
• Local data validation and output formatting utilities

This package does NOT contain model weights. Inference requires an API key from https://dashboard.aiondashboard.site/access/register.

Quick Start

from aion_news_to_signal import analyze

# Requires AION_API_KEY environment variable or explicit key
result = analyze("RBI hikes repo rate by 25 bps", api_key="YOUR_KEY")
print(result["sector_vector"])

MCP Server

aion-indian-market-intelligence-mcp

The MCP server requires an API key for inference. Set AION_API_KEY in your environment. Existing users can continue to call aion-news-to-signal-mcp.

API Contract

Production inference flows through the hosted AION API:

• POST https://api.aiondashboard.site/v1/analyze
• header:
  • X-API-Key: <key>

import requests

headers = {"X-API-Key": "YOUR_API_KEY"}
resp = requests.post(
    "https://api.aiondashboard.site/v1/analyze",
    headers=headers,
    json={"headline": "RBI hikes repo rate by 25 bps"},
    timeout=30,
)
resp.raise_for_status()
print(resp.json()["sector_vector"])

Output Contract

The core output is a structured event-intelligence object. sector_vector is a sector incidence vector: a scored map of which sectors are exposed, supported, or pressured by the event. It is not a directional trade instruction and it is not executable trade guidance.

{
  "headline": "string",
  "event": "string|null",
  "confidence": "float",
  "vix_regime": "string",
  "sector_vector": {},
  "top_positive_sectors": {},
  "top_negative_sectors": {},
  "sector_directional_bias": {
    "positive_bias": [],
    "negative_bias": []
  },
  "stakeholder_views": {},
  "raw_assignment": {
    "resolved_event_id": "string|null",
    "cause_effect_rule_id": "string|null",
    "weather_triggered": "bool"
  }
}

Important Note

⚠️ This package is a client library, not a self-contained inference engine. It requires a valid API key and internet connectivity to call the AION hosted API. For local/offline inference, contact AION Analytics about enterprise deployment options.

This package provides structured market intelligence. It does not provide investment advice, broker execution, portfolio allocation, directional trade recommendations, or order-routing logic.

Links

• API gateway:
  • https://dashboard.aiondashboard.site/systems/api-gateway
• Website model page:
  • https://dashboard.aiondashboard.site/models/news-to-signal
• API key registration:
  • https://dashboard.aiondashboard.site/access/register
• GitHub:
  • https://github.com/AION-Analytics/aion-news-to-signal
• Hugging Face model:
  • https://huggingface.co/AION-Analytics/aion-news-to-signal
• Hugging Face demo:
  • https://huggingface.co/spaces/AION-Analytics/aion-news-to-signal
• PyPI package:
  • https://pypi.org/project/aion-indian-market-intelligence/
• Legacy PyPI compatibility package:
  • https://pypi.org/project/aion-news-to-signal/