You'd reach for this when you need Indian market intelligence baked into your MCP workflows. It surfaces macro-event data and sector-specific impact analysis for the Indian economy, so you can query things like policy changes, economic indicators, or how specific events might affect different industries. The source doesn't detail specific endpoints, but given the focus, expect operations that let you pull event timelines, sector breakdowns, and impact assessments without stitching together multiple data sources yourself. Useful if you're building financial analysis tools, market research agents, or any workflow that needs to understand Indian economic movements programmatically rather than through manual research.
Indian Market Intelligence for Macro Event & Sector Impact Analysis.
Indian Market Intelligence for Macro Event & Sector Impact Analysis is the single public identity for this product. It is an API for Indian SaaS developers, professional coders, LLM tools, dashboards, and analyst workflows that need macro event intelligence and sector impact analysis from Indian financial headlines.
AION Indian Market Intelligence for Macro Event & Sector Impact Analysis converts raw Indian financial headlines into market impact ontology output. It answers: what happened, which sectors are exposed, which stakeholders are affected, and which macro effects are in play. It does not tell you what to trade.
pip install aion-indian-market-intelligence
export AION_API_KEY="<your_api_key>"
from aion_indian_market_intelligence import analyze
Production usage flows through the managed AION API:
POST https://api.aiondashboard.site/v1/analyzeX-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"])
Observed top-level output keys:
{
"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": {}
}
Canonical key note:
sector_vector is the canonical output key for sector impact analysissector_impacts key in the public output contractInput:
RBI unexpectedly raises repo rate by 50 bps
Example view:
{
"event": "repo_rate_hike",
"sector_vector": {
"Information Technology": 0.18,
"Realty": -0.52,
"Financial Services": -0.31,
"Automobile and Auto Components": -0.26
},
"top_positive_sectors": {
"Information Technology": 0.18
},
"top_negative_sectors": {
"Realty": -0.52,
"Financial Services": -0.31,
"Automobile and Auto Components": -0.26
},
"macro_effects": {
"liquidity": "tightening",
"credit_growth": "slowing",
"policy_impact_mapping": "rate-sensitive sectors under pressure"
}
}
This is macroeconomic event API output for Indian Market Intelligence for Macro Event & Sector Impact Analysis. It is structured interpretation, not advice.
Headline:
Unseasonal rainfall and hailstorm hit apple orchards in Himachal Pradesh in April
Typical polarity-only output:
AION Indian Market Intelligence for Macro Event & Sector Impact Analysis output:
rain_apple_damageAgriculture & Horticulture, Transportation, Consumer ServicesMarket implication: agriculture-linked exposure under pressure, logistics bottlenecks possible, substitute supply chains may benefit.
sector_vectorMost open-source financial NLP tools stop at polarity scoring.
| Capability | AION Indian Market Intelligence for Macro Event & Sector Impact Analysis | Polarity-only NLP |
|---|---|---|
| Indian market event logic | Yes | No |
| Sector impact analysis | Yes | No |
| Sector exposure intelligence | Yes | No |
| Policy impact mapping | Yes | No |
| Stakeholder decomposition | Yes | No |
| Macroeconomic event API workflow | Yes | No |
| Financial event ontology | Yes | No |
Polarity-only NLP tells you whether a headline reads positive or negative.
AION Indian Market Intelligence for Macro Event & Sector Impact Analysis tells you:
Public docs, model cards, PyPI copy, MCP copy, and dashboard pages use
Indian Market Intelligence for Macro Event & Sector Impact Analysis as the
single identity phrase. Supporting vocabulary is maintained in
docs/CANONICAL_VOCABULARY.yml.
Primary phrases include:
These phrases are intentional for human search, PyPI discovery, Hugging Face indexing, GitHub topics, MCP registry copy, and LLM retrieval embeddings.
All tiers require an API key. Sign up at
https://dashboard.aiondashboard.site/access/register
| Tier | Requests/month | Latency |
|---|---|---|
| Free | 1,000 | Shared |
| Builder | 15,000 | Shared |
| Pro | 75,000 | Priority |
| Power | 250,000 | Dedicated |
Enterprise: custom, GPU-dedicated. Contact via dashboard.
https://dashboard.aiondashboard.site/systems/api-gatewayhttps://dashboard.aiondashboard.site/models/indian-market-intelligencehttps://dashboard.aiondashboard.site/access/registerhttps://api.aiondashboard.site/v1/analyzehttps://pypi.org/project/aion-indian-market-intelligence/https://github.com/AION-Analytics/aion-indian-market-intelligencehttps://huggingface.co/AION-Analytics/aion-indian-market-intelligencehttps://huggingface.co/spaces/AION-Analytics/aion-indian-market-intelligencehttps://github.com/AION-Analytics/aion-mcp-serverdocs/MCP_MARKETPLACE_MAINTENANCE.mdio.github.infoinlet-marketplace/mcp-observability
betterdb-inc/monitor
com.mcparmory/datadog
thotischner/observability-mcp
io.github.tantiope/datadog-mcp
io.github.us-all/datadog