Company
The product
Megatron Markets provides infrastructure that catalogues the inference capacity providers publish, standardise it into instruments both sides can evaluate, and supports matching through an order book when the selected instrument and desk are enabled for new exposure, with account-scoped operating controls.
The product catalogues AI-model capacity as reference data and defines connected order-book, RFQ and enquiry workflows. It records terms, orders, fills and participant-provided capacity evidence.
- 414
- Models observed
- 102
- Inference providers observed
- 1,505
- Provider endpoints observed
- 28
- Providers on the most observed model
Reference observation of provider-published rates. Read at 17 August 2026, 17:19 UTC.
Instrument
Decisions behind the instrument
- Workload-shaped bundles
- A workload consumes prompt, cache-read, cache-write and output tokens in its own ratio. A bundle names those weights explicitly and gives both sides a common unit to evaluate.
- Two durations on a forward
- The tenor states how far ahead a named window opens; the window states the future period represented by the planned instrument. Separating the two lets desks compare forward-dated prices without hiding their time shape.
- Provider-level price discovery
- The reference catalogue keeps model identity separate from provider endpoint. A desk can see prompt, output and cache rates, quantisation and spread before deciding what to investigate.
- Several connected product paths
- The product connects a central order book, requests for quote and desk enquiries. Orders, fills and cancellations share one attributed workflow.
- Electricity as research context
- Electricity markets offer useful ideas about capital-intensive, perishable capacity and time-shaped demand. The comparison is structural only: Megatron Markets is preparing AI-model capacity infrastructure, not electricity, energy contracts, grid rights or power delivery.
- Evidence with a timestamp
- Public catalogue figures are labelled with the moment they were read. They preserve the provider-published rate, endpoint identity and observation time together.
Research and market references
Available data, explicit context
Product data
A signal-derived demand gauge
The terminal exposes an AI demand gauge computed in timestamped buckets from classified source items. It reports the contributing signal count and category components. It is informational research, alongside its source context. Read the signal methodology and limitations.
Market references
Provider references and governed indices
External product references are kept separately identified from Megatron Markets instruments. The documentation describes the source, identity and comparison method for each reference.