Build a Market Intelligence Agent with AIsa

Combine prices, financial metrics, SEC filings, news, and prediction-market signals in a verifiable market-research workflow your agent runs through AIsa.

The problem

Investors, analysts, and strategy teams want a fast read on a company or event without stitching together five data vendors. The risk is a report that blends stale prices, unsourced claims, and speculation into one confident paragraph. A good outcome separates observed data (with timestamps and units), source-backed events (with filing or article links), and clearly labeled signals and scenarios.

Prompt

Give this to your agent once AIsa is connected via MCP:

Use AIsa to build a market brief on ticker <TICKER> for <time horizon, e.g. the last quarter>.
Find the right AIsa tools with `search` and quote paid calls with `get_details`. Ask me before any paid call, with the list of calls you plan to make.
Collect: current price snapshot, key financial metrics, the most recent 10-Q/10-K and its relevant items, recent company news, and any related prediction markets.
Record the timestamp and units for every number. Verify material news against filings or company releases.
Return sections: Observed data | Source-backed events | Signals (prediction markets, sentiment) | Interpretation | Risks and missing evidence | Data cutoff.
This is read-only research: do not place trades, change portfolios, or set alerts.

Variant for an event rather than a company: Track <event> using prediction markets and news; label market odds as expectations, not outcomes.

APIs and Skills used

Through MCP, your agent reaches these via five tools at https://mcp.aisa.one/mcp: search, list_categories, and get_details are free; use and batch_use are billed per call.

Step	What the agent calls	Reference
Current price	Last price, day change, timestamp	Stock Price Snapshot
History	OHLCV bars for a date range	Historical Stock Prices
Fundamentals	Current ratio set	Financial Metrics Snapshot
Filings	Filing index, then item text	SEC Filings, Filing Items
News	Recent headlines with source and link	Company News
Market signals	Polymarket and Kalshi markets	Polymarket Markets, Kalshi Markets
Reusable workflow	Equity data, filings, estimates, macro	MarketPulse, Trend Forecast
Synthesis	A supported model, after retrieval	Models

Example output

Illustrative only. The ticker, figures, and links are placeholders, not real market data.

## EXMPL (Example Corp): brief, data cutoff 2026-01-15 16:00 ET

| Observed data      | Value        | As of            | Source            |
| ------------------ | ------------ | ---------------- | ----------------- |
| Last price         | <price> USD  | 2026-01-15 16:00 | prices/snapshot   |
| Gross margin (TTM) | <x>%         | 2026-01-15       | metrics/snapshot  |

Source-backed events
- 10-Q filed 2026-01-08; Item 1A adds a new supply-chain risk. [filing link]

Signals (not outcomes)
- A prediction market on "<event question>" trades at <p> implied probability.

Risks and missing evidence
- No guidance update found after the 10-Q.

Guardrails

• Separate data layers. Prices and metrics describe what happened; filings and releases provide primary context; news is for discovery; and prediction markets and social chatter are signals, not facts.
• Timestamp everything. Record units, currency, and observation time. Do not combine values from different sources without checking definitions and frequency.
• Label forecasts. A scenario or forecast is never presented as a verified fact, and the output is not personalized financial advice.
• Read-only by default. Do not place trades, alter portfolios, publish, or trigger alerts unless the user explicitly requests that separate action and an authorized path exists.
• Quote, then ask. Get a free quote with get_details; pass an approved cap as max_price_usd where supported. See Billing & Credits.
• When AIsa may not be necessary: a dedicated market-data provider is simpler if you need only one dataset and already manage the analysis, model, and billing layers.

Related

MarketPulse

Equity data Skill for agents.

Prediction Market Data

Polymarket and Kalshi data.

Research Agent

Source-backed web research.

Security & Privacy

Agent safety controls.