A cost forecasting and pricing simulator that normalizes agent task traces, models uncertainty, and compares finance-reviewed variable, included-usage, and fixed-price scenarios.
Genesis score7.25/10
Make Burnrate real.0/500
500 more votes and Burnrate is authorized for build.
0%500 to authorize
Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.
The opportunity
78%Organizations bundling AI cost into cloud spend
0Direct forecast-plus-pricing peers found
0Guaranteed margins
The case
Agent products can have large task-to-task cost variance hidden inside aggregate infrastructure spend. Burnrate joins provider charges with a business-owned task taxonomy, estimates cost distributions and tail exposure, backtests scenarios, and shows which assumptions drive margin. It never guarantees a confidence band, recommends a final customer price without finance review, treats historical costs as stationary, or bundles unlicensed variance insurance into the first product.
Who pays — and why
Founders, finance leaders, and product or platform owners operating agent-based software with variable inference and tool costs.
What it unlocks
A reconciled task-cost ledger spanning model calls, tools, retries, failures, review, infrastructure, credits, and provider invoices
Versioned task classes and workload mixes that expose selection bias, sparse cohorts, drift, and missing cost
Backtested point, interval, percentile, stress, and scenario forecasts with calibration evidence
Finance-reviewed price and usage simulations that keep cost forecast, willingness to pay, market position, and final policy separate
How Genesis scored it
7.25across seven criteria
9
Convergence
The source score records strong cross-signal convergence.
8
Temporal window
Current margin volatility makes the problem immediate.
5
Incumbent blindspot
No structural copying cost for observability and finance incumbents is evidenced.
Why it scored well
Strong internal convergence, quantified attribution pain, existing cost telemetry, and no integrated forecast-plus-pricing peer found support the direction.
What's holding it back
Weak incumbent conflict, unstable provider prices and workloads, limited histories, task-taxonomy quality, and optional underwriting complexity reduce confidence.
Signals detected4 sources crossed
Signalindustry research carried in Genesis
Signaloperator research carried in Genesis
SignalGenesis competitor scan
SignalGenesis market scan
Direction briefburnrate.md
burnrate.md
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