Predictions

`GET` `/api/lead-lag`

Requires Bearer token.

Survival curve analysis showing how one signal leads or lags another. Useful for predicting which neighborhoods will gentrify, decline, or see permit surges. Query parameters

Name	Type	Required	Default	Description
`cause`	string	✓		Leading signal group (e.g. businessVitality, populationMomentum).
`effect`	string	✓		Lagging signal group (e.g. developmentPipeline, economicStrength).
`metro`	string			Metro slug filter. Omit for all metros.
`lag_months`	int		`12`	Maximum lag window in months (1-24).

Example

curl "https://axiomlocus.io/api/lead-lag?cause=businessVitality&effect=developmentPipeline&metro=sf" \
  -H "Authorization: Bearer al_your_key_here"

Response

{
  "cause": "businessVitality",
  "effect": "developmentPipeline",
  "metro": "sf",
  "peak_lag_months": 6,
  "peak_correlation": 0.72,
  "survival_curve": [
    { "month": 0, "correlation": 0.12 },
    { "month": 3, "correlation": 0.45 },
    { "month": 6, "correlation": 0.72 },
    { "month": 9, "correlation": 0.58 },
    { "month": 12, "correlation": 0.31 }
  ],
  "interpretation": "Business vitality changes lead development pipeline activity by ~6 months in SF."
}

Field	Type	Description
`peak_lag_months`	int	Month offset where correlation is strongest.
`peak_correlation`	float	Pearson correlation at peak lag (0-1).
`survival_curve`	array	Monthly correlation values over the lag window.
`interpretation`	string	Human-readable summary of the lead-lag relationship.

`GET` `/api/permits/predict`

Requires Bearer token.

Sequence prediction for building permit activity at the H3 cell level. Uses historical permit patterns to forecast future issuance. Query parameters

Name	Type	Required	Default	Description
`h3_index`	string	✓		H3 hex index at resolution 8.
`horizon`	int		`6`	Forecast horizon in months (1-12).

Example

curl "https://axiomlocus.io/api/permits/predict?h3_index=882a100d63fffff&horizon=6" \
  -H "Authorization: Bearer al_your_key_here"

Response

{
  "h3_index": "882a100d63fffff",
  "historical_avg_monthly": 4.2,
  "forecast": [
    { "month": "2026-04", "predicted_permits": 5, "confidence": 0.85 },
    { "month": "2026-05", "predicted_permits": 6, "confidence": 0.78 },
    { "month": "2026-06", "predicted_permits": 4, "confidence": 0.71 },
    { "month": "2026-07", "predicted_permits": 7, "confidence": 0.65 },
    { "month": "2026-08", "predicted_permits": 5, "confidence": 0.59 },
    { "month": "2026-09", "predicted_permits": 4, "confidence": 0.52 }
  ],
  "trend": "increasing",
  "model": "arima_h3_v2"
}

Field	Type	Description
`historical_avg_monthly`	float	Average monthly permits over the last 12 months.
`forecast`	array	Monthly predictions with confidence intervals.
`forecast[].predicted_permits`	int	Predicted permit count for the month.
`forecast[].confidence`	float	Model confidence (0-1), decreases with horizon.
`trend`	string	Overall trend direction: increasing, stable, or decreasing.

Overview

Scoring

Location data

Portfolio management

Reports & exports

Platform

`GET` `/api/lead-lag`

`GET` `/api/permits/predict`

​GET /api/lead-lag

​GET /api/permits/predict

`GET` `/api/lead-lag`

`GET` `/api/permits/predict`