# properties.pay.properties.score.description
0–100, or null when there is insufficient evidence.

# properties.pay.properties.confidence.description
Confidence in the score: high, medium, low, or insufficient.

# properties.pay.properties.evidenceIds.items.description
Id of a source in the enclosing record's `sources[]`. Every number carries one.

# properties.pay.description
Pay: median net hourly vs. local minimum wage and category median.

# properties.fees.properties.score.description
0–100, or null when there is insufficient evidence.

# properties.fees.properties.confidence.description
Confidence in the score: high, medium, low, or insufficient.

# properties.fees.properties.evidenceIds.items.description
Id of a source in the enclosing record's `sources[]`. Every number carries one.

# properties.fees.description
Fees: total extraction rate including unpaid onboarding.

# properties.payout.properties.score.description
0–100, or null when there is insufficient evidence.

# properties.payout.properties.confidence.description
Confidence in the score: high, medium, low, or insufficient.

# properties.payout.properties.evidenceIds.items.description
Id of a source in the enclosing record's `sources[]`. Every number carries one.

# properties.payout.description
Payout: frequency, delay, minimum, reliability incidents.

# properties.stability.properties.score.description
0–100, or null when there is insufficient evidence.

# properties.stability.properties.confidence.description
Confidence in the score: high, medium, low, or insufficient.

# properties.stability.properties.evidenceIds.items.description
Id of a source in the enclosing record's `sources[]`. Every number carries one.

# properties.stability.description
Stability: task availability, deactivation rate, unpaid-work incidents, appeals.

# properties.transparency.properties.score.description
0–100, or null when there is insufficient evidence.

# properties.transparency.properties.confidence.description
Confidence in the score: high, medium, low, or insufficient.

# properties.transparency.properties.evidenceIds.items.description
Id of a source in the enclosing record's `sources[]`. Every number carries one.

# properties.transparency.description
Transparency: published terms, fees, deactivation policy, pay disclosures.

# properties.scamRisk.properties.score.description
0–100, or null when there is insufficient evidence.

# properties.scamRisk.properties.confidence.description
Confidence in the score: high, medium, low, or insufficient.

# properties.scamRisk.properties.evidenceIds.items.description
Id of a source in the enclosing record's `sources[]`. Every number carries one.

# properties.scamRisk.description
Scam risk (inverted: 100 = no signals): risk flags, verification, domain age, complaints.

# properties.composite.properties.score.description
Weighted composite 0–100, or null when no dimension has evidence.

# properties.composite.properties.partial.description
True when at least one dimension was excluded for insufficient evidence.

# properties.composite.properties.weights.properties.pay.description
Percentage in basis points (10000 = 100%).

# properties.composite.properties.weights.properties.fees.description
Percentage in basis points (10000 = 100%).

# properties.composite.properties.weights.properties.payout.description
Percentage in basis points (10000 = 100%).

# properties.composite.properties.weights.properties.stability.description
Percentage in basis points (10000 = 100%).

# properties.composite.properties.weights.properties.transparency.description
Percentage in basis points (10000 = 100%).

# properties.composite.properties.weights.properties.scamRisk.description
Percentage in basis points (10000 = 100%).

# properties.composite.properties.weights.description
Composite weights per dimension in basis points; they sum to 10000.

# properties.composite.properties.methodologyVersion.description
Version of the scoring methodology that produced this composite, e.g. "scoring@1.0.0".

# properties.composite.description
The weighted composite and how it was computed.

# description
Six-dimension scorecard with confidence per dimension and a weighted composite.