Stop letting autonomous agents hallucinate trade prices or search blind. Pota.ai delivers deterministic financial market ticks, commodity spot rates, and verified B2B trade networks directly into your agent runtime via streaming APIs and MCP tools.
# 1. Initialize Pota Toolset into your AI Agent (LangChain / Claude / LlamaIndex)
from pota import PotaToolkit, AgentRouter
toolkit = PotaToolkit(api_key="pota_live_sec_892k...")
# 2. Agent invokes hybrid query combining Commodity Prices + B2B Sourcing
prompt = "Check CPO crop spot prices, compare with XAU hedge, and find verified SEA exporters with exhibition presence."
result = toolkit.execute_context(prompt)
> [POTA/CROPS] Palm Oil spot indexed at $940/MT (+2.1% MoM). OHLCV confirmed.
> [POTA/XAU] Gold Spot at $2,580/oz. Ratio steady.
> [POTA/SUPPLIERS] Identified 14 audited suppliers (Indonesia & Malaysia).
> [POTA/EXHIBITIONS] 3 suppliers booked for upcoming Singapore AgriTrade Expo 2026.
> Agent payload generated: Deterministic JSON verified (0 hallucinations).
9 Core Data Feeds for Agent Decision Runtimes
Structured, normalized, and machine-readable data streams accessible via REST, WebSockets, or Model Context Protocol.
Spot prices, agricultural farmgate benchmarks, export indices, and harvest cyclicality data for Southeast Asian and global commodities.
Composite index, sectoral tickers, daily/intraday OHLCV bars, foreign flow volume, and corporate action histories for the IDX market.
Full NYSE & NASDAQ market data. Extended-hours (pre/after-market) and regular hours OHLCV, raw trades, and adjusted split prices for ML.
24/7 centralized & decentralized liquidity streams, orderbook depth snapshots, funding rates, and aggregated pair prices.
Live gold spot rates, bullion bid/ask spreads, currency crosses (USD, IDR, EUR), and institutional store-of-value indicators.
International importer profiles, historical purchasing volume capacity, procurement cycles, and active Request for Quotations (RFQs).
Audited manufacturers, farm mills, production capacity metrics, ISO certifications, and verified export licenses.
Upcoming and past international trade expos, verified exhibitor rosters, attendee industry segmentation, and venue locations.
Direct procurement officers, executive emails, corporate phone routes, and LinkedIn profiles for autonomous outbound agent campaigns.
Human web dashboards have too much noise. Pota.ai formats every response into lightweight, token-optimized JSON designed to preserve LLM context windows while guaranteeing point-in-time correctness.
Plug right into Claude Desktop, Cursor, or your autonomous agent runtime with zero custom glue code.
Historical point-in-time tables prevent data leakage when training neural networks and trading predictors.
Sub-50ms distribution nodes for tick-by-tick real-time trading executions and orderflow analysis.
{
"commodity": "CRUDE_PALM_OIL",
"benchmark_region": "SEA_MEDAN_ROTTERDAM",
"spot_price_usd": 942.50,
"ohlcv_daily": {
"open": 938.00,
"high": 946.00,
"low": 935.50,
"close": 942.50,
"volume_metric_ton": 14200
},
"supply_graph": {
"active_verified_suppliers": 18,
"nearest_exhibition": "Palmex International 2026",
"buyer_rfq_count": 5
}
}
Scale From Sandbox to Production Agents
Ideal for testing MCP agent tools, local LLMs, and student ML models.
For active autonomous agents, backtesters, and trading bots.
Direct dedicated raw tick data pipelines, custom webhooks, and private feeds.
Get your instant developer token and query all 9 data feeds in less than 2 minutes.