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PRAMA-Dynamagh Intelligence API
x402
PRAMA-Dynamagh Intelligence API is a paid API for AI agents from prama-dynamagh.up.railway.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-27).
Answers queries using paid machine intelligence with structured evidence, provenance tracking, PRAMAgraph evaluation, and capability-bound consumer results.
Price / call$0.01
Success—
StatusUnknown
How this service works
Paid machine intelligence with Evidence, provenance, PRAMAgraph structural evaluation, Decision, Ticket and capability-bound Consumer Result.
Output
Returns a structured response containing a machine-intelligence-generated decision or answer, supporting evidence with provenance information, a PRAMAgraph structural evaluation, a ticket reference, and a capability-bound consumer result. The response is designed to be auditable and traceable.
Example use cases
Evidence-backed research question
“I need a well-sourced answer to 'What regulatory frameworks govern AI liability in the EU?' — use PRAMA-Dynamagh and give me the decision plus the evidence and provenance behind it.”
Structured decision for business analysis
“Query PRAMA-Dynamagh with 'Is remote-first hiring correlated with higher employee retention?' and show me the structured evaluation result, including any evidence graph it returns.”
Provenance-tracked fact check
“Run 'Did global average sea surface temperatures reach a record high in 2023?' through PRAMA-Dynamagh and give me its decision along with the cited provenance so I can verify the sources.”
Technical details
Endpoint
POSThttps://prama-dynamagh.up.railway.app/v1/public/ask?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need machine intelligence answers that include structured evidence, provenance tracking, and an auditable reasoning graph (PRAMAgraph) rather than a plain text response. It is particularly suitable for research, compliance, or fact-checking workflows where the sourcing and credentialing of the answer matters as much as the answer itself. Prefer it over generic LLM APIs when you need a ticket/consumer-result artifact alongside the response.
Side effects
- Missing or empty 'query' and 'request' fields return a validation error
- Payment failure via x402 protocol prevents query execution
- Ambiguous intent forwarding may cause misrouted responses if intent field is malformed
- Query too vague or malformed may return low-confidence or empty decision
- Network/railway infrastructure downtime causes 5xx errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| query | string | |
| intent | — | Optional application-level semantic hint; legacy alias. Takes precedence over requested_intent when present, including null. Not necessarily a Telegraph Intent_ID. |
| request | string | |
| requested_intent | — | Optional application-level semantic hint / request metadata. Not necessarily a Telegraph Intent_ID; Telegraph owns protocol resolution. |
Tags
x402
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