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FoundryNet Inference Predictive Analytics
x402
FoundryNet Inference Predictive Analytics 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).
Accepts a time-series array and breach threshold to produce LLM-enriched predictive intelligence with MINT-attested outputs, optionally normalizing by OEM and canonical field name.
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 a predictive intelligence result enriched by LLM inference and up to 17 data sources, including whether the time series is forecasted to breach the given threshold, in what direction, and with a MINT-attested output for verifiability.
Example use cases
Example prompt
“Using FoundryNet's MINT-attested predictive inference, analyze this 20-point spindle load time series — [72,74,75,78,80,83,85,84,87,90,91,93,95,96,98,99,100,102,104,107] — for OEM 'HaasMill', canonical field 'spindle_load_pct', with a breach threshold of 105 in the 'up' direction, and tell me if and when it's likely to breach.”
Technical details
Endpoint
POSThttps://foundrynet-inference-production.up.railway.app/v1/predictWhen to prefer
Choose this endpoint when you need LLM-enriched, MINT-attested predictive forecasting on time-series data — especially for industrial/OEM equipment metrics where canonical field normalization matters. Prefer it over generic inference APIs when attestation, multi-source enrichment, and breach-threshold prediction are required together.
Side effects
- Payment not provided or invalid x402/fnet_ key — returns 402 Payment Required
- Fewer than 16 values in array — reduced forecast reliability or rejection
- Invalid OEM or canonical_field — normalization skipped or error returned
- Threshold or direction mismatch with series — ambiguous or low-confidence prediction
- Service unavailable on Railway — 503 or timeout
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| oem | string | Optional equipment manufacturer (enables field normalization) |
| valuesrequired | array | Time series values (16+ recommended for a reliable forecast) |
| direction | string | |
| thresholdrequired | number | Breach threshold |
| canonical_field | string | Optional field name (e.g. spindle_load_pct); with `oem` it enables canonical normalization |
Tags
x402
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