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FoundryNet Inference
x402
FoundryNet Inference is a paid API for AI agents from foundrynet-inference-production.up.railway.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Runs LLM-powered analysis and predictive intelligence on equipment telemetry data, enriched from 17 data sources, with MINT-attested outputs, gated via x402 micropayment (Solana/Base USDC).
Price / call$0.1
Success—
StatusUnknown
How this service works
LLM inference proxy + data-enriched analysis + predictive intelligence. 17 data sources. MINT-attested outputs. x402-gated (Solana/Base USDC); an fnet_ Forge key bypasses.
Output
Returns LLM-generated analysis of the submitted telemetry, enriched with data from 17 external sources. If 12+ time-series data points are provided, includes a predictive forecast. Output is MINT-attested for verifiability. Typical fields include anomaly flags, trend analysis, risk scoring, and forward projections.
Example use cases
Example prompt
“Analyze this compressor telemetry from a Siemens unit — temperature: [72, 74, 78, 83, 89, 95, 98, 102, 107, 112, 118, 125], vibration: [0.12, 0.13, 0.15, 0.18], pressure: 14.7 — and give me an AI-enriched forecast and anomaly report with attested results.”
Technical details
Endpoint
POSThttps://foundrynet-inference-production.up.railway.app/v1/inferWhen to prefer
Use this endpoint when you need LLM-powered, multi-source-enriched analysis of equipment sensor telemetry — especially when MINT attestation of the output is required for auditability, or when predictive forecasting from time-series sensor arrays is needed. Prefer over generic LLM APIs when industrial equipment context (OEM normalization) and 17-source enrichment add meaningful signal.
Side effects
- 402 Payment Required — no valid x402 payment or fnet_ Forge key provided
- 400 Bad Request — missing required 'telemetry' field or malformed sensor values
- 422 Unprocessable Entity — telemetry values are non-numeric or improperly structured
- 503 Service Unavailable — upstream data source enrichment or LLM inference failure
- Forecasting disabled — fewer than 12 time-series data points provided, only base analysis returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| oem | string | Equipment manufacturer (optional; enables normalization) |
| telemetryrequired | object | Key-value sensor readings; values may be scalars or numeric arrays (a 12+ point array enables forecasting) |
Tags
x402
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