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BeliefState Evaluate Belief Scenario
x402
BeliefState Evaluate Belief Scenario is a paid API for AI agents from beliefstate.ai, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-29).
Evaluates a structured analyst belief (investment thesis) against a set of user-supplied scenario assumptions to determine updated outcomes or validity given current condition statuses.
Price / call$0.02
Success—
StatusUnknown
How this service works
The first AI-powered platform for top analyst research. Get theses from top analysts, dated evidence, and available outcomes for your AI.
Output
A JSON envelope containing a schema_version, generated_at timestamp, and as_of timestamp, with the full evaluation of the belief scenario — indicating how the analyst thesis resolves given the provided condition statuses. The complete response schema is documented at the BeliefState endpoint and includes thesis outcomes, evidence alignment, and scenario-specific conclusions.
Example use cases
Macro shift stress-test on equity thesis
“I have a belief ID 'aapl-growth-thesis-q3' — can you evaluate it under a scenario where 'fed-rate-cut' is met, 'china-revenue-recovery' is missed, and 'iphone-cycle-upgrade' is pending, as of 2025-09-01T00:00:00Z?”
AI trading agent thesis validity check
“Check whether the analyst thesis with belief ID 'nvda-ai-supercycle' still holds if we mark 'data-center-demand' as triggered, 'competitor-entry' as not_triggered, and 'supply-chain-normalization' as met, as of today 2025-07-15T00:00:00Z.”
Pre-earnings scenario assumption review
“Before Q2 earnings, evaluate belief 'amzn-aws-margin-expansion' on BeliefState with conditions 'enterprise-cloud-deals' set to met, 'cost-cutting' set to triggered, and 'recession-risk' set to unknown, as of 2025-07-30T00:00:00Z — what's the current outlook?”
Technical details
Endpoint
POSThttps://beliefstate.ai/v1/research/evaluate_belief_scenario?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you already have a specific BeliefState belief_id and want to evaluate how that thesis resolves under a custom set of scenario assumptions. Ideal for AI trading agents or research automation pipelines that need to stress-test analyst theses against changing market conditions or hypothetical macro environments. Prefer this over general research lookup endpoints when you need scenario-specific conditional evaluation rather than raw thesis retrieval.
Side effects
- Invalid belief_id returns an error or empty result if the thesis is not found in the BeliefState database
- Invalid condition_id within assumptions may return validation errors
- Malformed as_of datetime (not ISO 8601 UTC) will fail schema validation
- Providing more than 8 assumptions will be rejected by the schema
- Missing required fields (belief_id or scenario.assumptions) will cause a 400-level error
- Payment failure via x402 protocol will prevent the call from completing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| outputrequired | object |
Output
Schema · Response
{
"type": "json",
"example": {
"as_of": "2026-10-24T00:00:00.000Z",
"generated_at": "2026-10-24T00:00:00.000Z",
"schema_version": "1"
}
}Tags
x402
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