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Stratalize Investment Category Heat Signal
x402
Stratalize Investment Category Heat Signal is a paid API for AI agents from www.stratalize.com, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Returns growth classification, top brands, and evidence lines for any software category to assess VC attractiveness or portfolio exposure.
Price / call$0.1
Success—
StatusUnknown
How this service works
Stratalize — attested finance, legal, healthcare, and compliance intelligence. Signed, independently verifiable receipt on every call (trust.stratalize.com/verify). Investment category heat signal — growth classification, top brands, and evidence lines for any software category. Source: Stratalize citation heuristics. Use when evaluating VC software category attractiveness or portfolio category exposure
Output
Returns a heat signal payload including a growth classification (e.g. heating/cooling/stable), a ranked list of top brands in the category, and evidence lines supporting the assessment, all cryptographically signed with ML-DSA-65 and verifiable at trust.stratalize.com/verify.
Example use cases
Portfolio category exposure assessment
“I need to understand if we're overexposed in the API management space. Can you get the growth classification and top brands so I can compare it against our current holdings?”
Emerging category opportunity evaluation
“We're considering whether to allocate capital to the AI observability category. What's the current heat signal, and which brands are gaining traction in that space?”
Market cooling detection for exits
“Our portfolio has several companies in the low-code development platform category. Is that market still heating up or starting to cool off? I need the evidence to inform our exit timing.”
Technical details
Endpoint
GEThttps://www.stratalize.com/api/x402/investment-category-signalWhen to prefer
Use this endpoint when a VC analyst, portfolio manager, or AI agent needs a quick, evidence-backed attractiveness signal for a specific software category — especially when cryptographic auditability of the source data matters. Prefer over generic web search or LLM opinions when you need structured classification with named brand references and traceable evidence lines.
Side effects
- Unknown or overly vague category string returns no signal or low-confidence result
- Rate limiting or payment failure blocks the call
- Category string too broad (e.g. 'software') returns ambiguous classification
- Signed response cannot be verified if trust.stratalize.com is unreachable
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| category | string | Request parameter: category |
Tags
x402
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