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BeliefState Get Belief Relationships
x402
BeliefState Get Belief Relationships 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).
Traverses a knowledge graph of analyst research beliefs to find relationships and connections between entities, up to a specified depth and edge count.
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
Returns a versioned JSON envelope containing the belief relationship graph traversal results, including the schema version, generation timestamp, and as-of date. The full response includes edges and nodes connecting analyst beliefs and entities discovered during traversal within the specified depth and edge constraints.
Example use cases
Tracing analyst thesis chains for a stock
“Using BeliefState, show me all the belief relationships linking from analyst entity 3fa85f64-5717-4562-b3fc-2c963f66afa6 through belief 'ai-infrastructure-thesis-2024' up to 3 levels deep with an edge budget of 75, so I can see how the bull case connects to NVIDIA.”
Point-in-time belief graph snapshot
“Pull the BeliefState belief relationships for belief ID 'rate-cut-impact-2023' starting from entity 3fa85f64-5717-4562-b3fc-2c963f66afa6, max depth 2, edge budget 30, as of December 31st 2023 so I can see what the analyst network looked like at year-end.”
Checking connection between two research entities
“On BeliefState, find if and how entity 3fa85f64-5717-4562-b3fc-2c963f66afa6 connects to entity 550e8400-e29b-41d4-a716-446655440000 under belief 'ev-sector-outlook', using a max depth of 2 and up to 40 edges.”
Technical details
Endpoint
POSThttps://beliefstate.ai/v1/research/get_belief_relationships?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to traverse and map the relationship graph between analyst beliefs and specific entities in BeliefState's research knowledge base. It is ideal for discovering multi-hop reasoning chains, tracing how a thesis connects to outcomes, or understanding the network of relationships around a specific belief — especially when you need point-in-time historical snapshots via the as_of parameter. Prefer this over single-entity lookup endpoints when the connectivity or relational structure between beliefs and entities is what matters.
Side effects
- Invalid belief_id or non-existent belief returns empty or error response
- from_entity_id UUID not found in the knowledge graph returns no results
- edge_budget exhausted before full traversal completes, truncating results
- max_depth exceeds maximum allowed value of 3 returns validation error
- Malformed UUID format for entity IDs returns schema validation error
- as_of date in the future or before data availability window returns empty results
- Payment failure (x402) prevents access to the endpoint
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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