HOW ONELENS WORKS

Every number in OneLens is derived from data you supply, using documented heuristics. Nothing here is a prediction or a model.

Pipeline

Inputs in, operator decisions out.

Marketplace data

entered or imported in Data Studio

OneLens analytics

pure functions, no stored state

Market diagnostics

ratios, health, scores, signals

Operator actions

prioritized interventions

Inputs you supply

User-provided values. OneLens never invents these.

Current Demand — demand units recorded in the current period
Current Supply — supply units available in the current period
Previous Demand — the same measure for the prior period
Previous Supply — the same measure for the prior period
Successful Matches — demand units that reached a completed match
Median Value — typical transaction value in the market
Median Match Time — typical hours from request to match
Agent Suitability — 0–100 estimate of the share of work software agents could complete

Metrics OneLens derives

Calculated on every render from the active dataset.

Demand / Supply Ratio
current demand ÷ current supply
Above 1.0 means unmet demand. With zero supply the ratio is capped at 10× so scores stay comparable.
Demand Growth
(current demand − previous demand) ÷ previous demand
Supply growth uses the same formula on the supply columns.
Fulfillment Rate
successful matches ÷ current demand
Capped at 100%. The share of demand that actually cleared.
Marketplace Activity
current demand + current supply
A scale measure used to weight small markets down.
Estimated Matched Value
successful matches × median value
An estimate of cleared transaction value, not booked revenue.
Market Health
liquidity 30% · balance 25% · fulfillment 25% · growth 20%
A 0–100 composite of marketplace condition across every market in scope.
Opportunity Score
weighted composite, 0–100
Ranks where operator attention is most warranted.
Agent Opportunity Index
need score × agent suitability gate, 0–100
Ranks where software agents could realistically expand supply.

Opportunity Score

A transparent heuristic composite, 0–100.

Supply-demand imbalance28%
Demand growth22%
Fulfillment deficit20%
Market activity14%
Economic value10%
Agent suitability6%

This score prioritizes operator attention. A high score does not necessarily mean the market is commercially attractive; it indicates meaningful marketplace imbalance or growth opportunity.

Agent Opportunity Index

Where software agents could realistically expand supply.

Supply-demand imbalance35%
Fulfillment gap30%
Market scale20%
Demand growth15%

The weighted need score above is then multiplied by a suitability gate (agent suitability raised to the power of 1.6). A market with severe shortage but low agent suitability stays near zero — the index deliberately refuses to suggest that agents solve physical or in-person supply problems.

Agent suitability disclosure

Agent Suitability is currently supplied as an input representing the estimated share of work that could reasonably be completed by software agents. In a production system, this could instead be generated through task-level classification or marketplace metadata. OneLens does not perform that classification today.

Prototype limitations

OneLens works with manually entered or CSV-imported aggregated market data.
The application does not connect to a live marketplace API.
Scores are heuristics, not predictive models.
Actions are decision-support recommendations rather than guaranteed outcomes.
The bundled demo dataset is synthetic.

Why OneLens

OneStop's model raises an interesting marketplace operating question: what changes when supply can come from both people and software agents?

OneLens explores an operator-intelligence layer for that environment — identifying where liquidity is breaking down, where demand is forming, and where software agents may meaningfully expand supply.

OneLens is an independent concept prototype designed around the operating model of OneStop. It is not affiliated with or endorsed by OneStop or Interface.