Propalt API

Market & Analytics

Endpoint:https://api.propalt.io

Get Regional Analysis

GET

https://api.propalt.io

/market-analytics/get-analysis-data

Retrieve regional analysis data (property characteristics, energy costs, dwelling counts) by postcode outward code.

Get Regional Analysis › query Parameters

first_postcode

string · pattern: ^([A-Za-z]{1,2}\d[A-… · required

UK postcode outward code (e.g. 'SW1A', 'B33'). 1-2 letters followed by 1 digit and optional letter/digit.

Get Regional Analysis › Headers

Authorization

string · required

The Authorization header is used to authenticate with the API using your API key. Value is of the format Bearer YOUR_KEY_HERE.

Get Regional Analysis › Responses

Regional analysis data for a postcode outward code

Output schema for get_analysis_data endpoint (documentation only). Do NOT use as response_model — return plain dicts from endpoints.

The primary outward code of the UK postcode (e.g., SW1A) used for regional aggregation.

Example: NW3

Mean count of bedrooms for residential properties within the specified sector.

Example: 2.8

Mean count of bathrooms for residential properties within the specified sector.

Example: 1.4

Mean count of reception rooms (lounges, dining rooms) within the specified sector.

Example: 1.2

Average Gross Internal Area (GIA) in square metres, measured per RICS professional standards.

Example: 78.5

Current Energy Performance Certificate (EPC) rating, ranging from A (high) to G (low).

Example: D

Estimated annual cost (GBP) for property lighting based on current energy prices.

Example: 88.5

Estimated annual cost (GBP) for space heating based on current energy prices.

Example: 645.2

Estimated annual cost (GBP) for domestic hot water based on current energy prices.

Example: 172.8

Categorical age range of the property's original construction (e.g., '2007 onwards').

Example: 1900-1929

Mean fixed-line broadband download speed (Mbps) recorded within the sector.

Example: 82.5

Total count of Detached residential dwellings within the area.

Example: 320

Total count of Semi-Detached residential dwellings within the area.

Example: 580

Total count of Terraced residential dwellings within the area.

Example: 1250

Total count of Flats or maisonettes within the area.

Example: 3800

GET/market-analytics/get-analysis-data

curl --request GET \
  --url 'https://api.propalt.io/market-analytics/get-analysis-data?first_postcode=%3Cstring%3E' \
  --header 'Authorization: <string>'

shell

Example Responses

{
  "first_posctode": "string",
  "number_of_bedrooms": 0,
  "number_of_bathrooms": 0,
  "number_of_reception_rooms": 0,
  "total_floor_area": 0,
  "current_energy_rating": "string",
  "lighting_cost_current": 0,
  "heating_cost_current": 0,
  "hot_water_cost_current": 0,
  "construction_age_band": "string",
  "average_download_speed": 0,
  "D_count": 0,
  "S_count": 0,
  "T_count": 0,
  "F_count": 0
}

json

application/json

Get Quarterly Market Analysis

GET

https://api.propalt.io

/market-analytics/get-quarterly-market-analysis

Retrieve quarterly market analysis data (listings, sales, prices, SSTC times, reductions).

Three execution paths:

first_postcode_list — direct lookup by a list of outcodes; each row gets a resolved region_name.
region + breakdown='aggregated' (default) — direct lookup of the pre-aggregated region row.
region + breakdown='outcode' — expands the region into its constituent outcodes; each row carries first_postcode and region_name.

Row-level pagination (limit / offset) with optional order_by / order_dir applies to all paths. Results are always primary-sorted by quarter DESC (latest quarter first), with order_by as the secondary sort within each quarter. This means limit=N returns the Top N of the latest available quarter when the region has ≥ N rows per quarter. period='YYYY-QN' filters to a single quarter; omit for the full historical series. The response envelope always includes data, count, total, limit, offset.

Get Quarterly Market Analysis › query Parameters

first_postcode_list

string

region

string · enum

Enum values:

Greater London

East Of England

Yorkshire

Wales

North East

North West

South East

South West

period

string · pattern: ^\d{4}-Q[1-4]$

breakdown

string · enum

Enum values:

aggregated

outcode

Default: aggregated

return_national

string · pattern: ^[yn]$

Default: n

order_by

string · enum

Enum values:

count_O

sold_count_O

median_price_O

median_price_O_pct

median_sold_price_O

avg_day_to_sstc_O

avg_day_to_sstc_O_pct

count_D

order_dir

string · enum

Enum values:

asc

desc

Default: desc

limit

integer · min: 1 · max: 100

Default: 100

offset

integer · min: 0

Default: 0

Get Quarterly Market Analysis › Headers

Authorization

string · required

The Authorization header is used to authenticate with the API using your API key. Value is of the format Bearer YOUR_KEY_HERE.

Get Quarterly Market Analysis › Responses

Quarterly market analysis. Returns one row per quarter when querying by outcode or by region with breakdown='aggregated'; one row per (quarter, constituent outcode) when region+breakdown='outcode'. Always wrapped as {data: [...], count: N}.

Output schema for get_quarterly_market_analysis endpoint (documentation only). Do NOT use as response_model — return plain dicts from endpoints.

The specific quarter/period of the analysis.

Example: 2025-Q4

The geographic area: outcode (e.g. 'AB10'), region name (e.g. 'Greater London') when breakdown='aggregated', or 'National'.

Example: NW3

Constituent outcode of the queried region. Present only when region is supplied with breakdown='outcode'.

Example: NW3

Name of the region this row's outcode belongs to. Populated for first_postcode_list requests (resolved server-side) and for region + breakdown='outcode' (echoes the queried region). NULL for 'National' rows and for breakdown='aggregated'.

Example: Greater London

Count of properties listed in this period (All property types).

Example: 285

Count of properties sold in this period (All property types).

Example: 142

The median listing price of properties (All property types).

Example: 875000

Percentage change in median listing price (All property types).

Example: 2.3

The median sold price of properties (All property types).

Example: 850000

Average days from listing to Sold Subject to Contract (All property types).

Example: 45

Percentage change in average days to SSTC (All property types).

Example: -5.2

Count of properties listed (Detached).

Example: 18

Count of properties sold (Detached).

Example: 8

The median listing price (Detached).

Example: 2450000

Percentage change in median listing price (Detached).

Example: 1.8

The median sold price (Detached).

Example: 2380000

Average days from listing to SSTC (Detached).

Example: 62

Percentage change in average days to SSTC (Detached).

Example: -3.1

Count of properties listed (Flat).

Example: 185

Count of properties sold (Flat).

Example: 95

The median listing price (Flat).

Example: 625000

Percentage change in median listing price (Flat).

Example: 3.1

The median sold price (Flat).

Example: 610000

Average days from listing to SSTC (Flat).

Example: 38

Percentage change in average days to SSTC (Flat).

Example: -6.8

Count of properties listed (Semi-Detached).

Example: 32

Count of properties sold (Semi-Detached).

Example: 15

The median listing price (Semi-Detached).

Example: 1350000

Percentage change in median listing price (Semi-Detached).

Example: 1.5

The median sold price (Semi-Detached).

Example: 1320000

Average days from listing to SSTC (Semi-Detached).

Example: 52

Percentage change in average days to SSTC (Semi-Detached).

Example: -4

Count of properties listed (Terraced).

Example: 50

Count of properties sold (Terraced).

Example: 24

The median listing price (Terraced).

Example: 1150000

Percentage change in median listing price (Terraced).

Example: 2

The median sold price (Terraced).

Example: 1125000

Average days from listing to SSTC (Terraced).

Example: 48

Percentage change in average days to SSTC (Terraced).

Example: -3.5

Probability ratio that a property will receive a price reduction.

Example: 0.28

Ratio of properties with price reductions (All types).

Example: 0.22

Ratio of properties with price reductions (Detached).

Example: 0.18

Ratio of properties with price reductions (Semi-Detached).

Example: 0.2

Ratio of properties with price reductions (Terraced).

Example: 0.24

Ratio of properties with price reductions (Flats).

Example: 0.25

Total count of properties that reached legal Land Registry completion.

Example: 128

Average days from SSTC to legal completion (All property types).

Example: 95

Average days from SSTC to legal completion (Houses).

Example: 88

Average days from SSTC to legal completion (Flats).

Example: 102

Price reduction ratio based on final Land Registry sold price (All property types).

Example: -0.035

Price reduction ratio based on final Land Registry sold price (Flats).

Example: -0.028

Price reduction ratio based on final Land Registry sold price (Houses).

Example: -0.042

Ratio of listed properties that reached Sold Subject to Contract in this period (All property types).

Example: 0.498

Number of properties that returned to market after SSTC (All property types).

Example: 12

Ratio of SSTC properties that returned to market (All property types).

Example: 0.084

Number of properties removed from market without ever going SSTC (All property types).

Example: 18

Ratio of listings removed from market without ever going SSTC (All property types).

Example: 0.063

Count of listings that received a price reduction in this period (All property types).

Example: 63

GET/market-analytics/get-quarterly-market-analysis

curl --request GET \
  --url https://api.propalt.io/market-analytics/get-quarterly-market-analysis \
  --header 'Authorization: <string>'

shell

Example Responses

{
  "quarter": "string",
  "region": "string",
  "first_postcode": "string",
  "region_name": "string",
  "count_O": 0,
  "sold_count_O": 0,
  "median_price_O": 0,
  "median_price_O_pct": 0,
  "median_sold_price_O": 0,
  "avg_day_to_sstc_O": 0,
  "avg_day_to_sstc_O_pct": 0,
  "count_D": 0,
  "sold_count_D": 0,
  "median_price_D": 0,
  "median_price_D_pct": 0,
  "median_sold_price_D": 0,
  "avg_day_to_sstc_D": 0,
  "avg_day_to_sstc_D_pct": 0,
  "count_F": 0,
  "sold_count_F": 0,
  "median_price_F": 0,
  "median_price_F_pct": 0,
  "median_sold_price_F": 0,
  "avg_day_to_sstc_F": 0,
  "avg_day_to_sstc_F_pct": 0,
  "count_S": 0,
  "sold_count_S": 0,
  "median_price_S": 0,
  "median_price_S_pct": 0,
  "median_sold_price_S": 0,
  "avg_day_to_sstc_S": 0,
  "avg_day_to_sstc_S_pct": 0,
  "count_T": 0,
  "sold_count_T": 0,
  "median_price_T": 0,
  "median_price_T_pct": 0,
  "median_sold_price_T": 0,
  "avg_day_to_sstc_T": 0,
  "avg_day_to_sstc_T_pct": 0,
  "OTM_reduction_probability": 0,
  "reduction_ratio_O": 0,
  "reduction_ratio_D": 0,
  "reduction_ratio_S": 0,
  "reduction_ratio_T": 0,
  "reduction_ratio_F": 0,
  "completed_count_O": 0,
  "avg_day_from_sstc_to_LR_O": 0,
  "avg_day_from_sstc_to_LR_H": 0,
  "avg_day_from_sstc_to_LR_F": 0,
  "LR_reduction_ratio_O": 0,
  "LR_reduction_ratio_F": 0,
  "LR_reduction_ratio_H": 0,
  "sstc_pct_O": 0,
  "fall_through_count_O": 0,
  "fall_through_pct_O": 0,
  "withdrawal_count_O": 0,
  "withdrawal_pct_O": 0,
  "reduction_count_O": 0
}

json

application/json

Get Monthly Market Analysis

GET

https://api.propalt.io

/market-analytics/get-monthly-market-analysis

Retrieve monthly market analysis data (listings, sales, prices, SSTC times, reductions) by postcode outward code.

Get Monthly Market Analysis › query Parameters

first_postcode

string · pattern: ^([A-Za-z]{1,2}\d[A-… · required

UK postcode outward code (e.g. 'SW1A', 'B33'). 1-2 letters followed by 1 digit and optional letter/digit.

return_national

string · pattern: ^[yn]$

Whether to include national statistics for comparison. 'y' or 'n'.

Default: n

Get Monthly Market Analysis › Headers

Authorization

string · required

The Authorization header is used to authenticate with the API using your API key. Value is of the format Bearer YOUR_KEY_HERE.

Get Monthly Market Analysis › Responses

Monthly market analysis data by postcode district

Output schema for get_monthly_market_analysis endpoint (documentation only). Do NOT use as response_model — return plain dicts from endpoints.

The specific month/period of the analysis (e.g. 'January 2026').

Example: January 2026

The geographic area or postcode district (e.g. 'AB10').

Example: NW3

Count of properties listed in this period (All property types).

Example: 95

Count of properties sold in this period (All property types).

Example: 48

The median listing price of properties (All property types).

Example: 890000

The median sold price of properties (All property types).

Example: 865000

Average days from listing to SSTC (All property types).

Example: 42

Count of properties listed (Detached).

Example: 6

Count of properties sold (Detached).

Example: 3

The median listing price (Detached).

Example: 2500000

The median sold price (Detached).

Example: 2420000

Average days from listing to SSTC (Detached).

Example: 58

Count of properties listed (Flat).

Example: 62

Count of properties sold (Flat).

Example: 32

The median listing price (Flat).

Example: 635000

The median sold price (Flat).

Example: 620000

Average days from listing to SSTC (Flat).

Example: 35

Count of properties listed (Semi-Detached).

Example: 11

Count of properties sold (Semi-Detached).

Example: 5

The median listing price (Semi-Detached).

Example: 1380000

The median sold price (Semi-Detached).

Example: 1340000

Average days from listing to SSTC (Semi-Detached).

Example: 50

Count of properties listed (Terraced).

Example: 16

Count of properties sold (Terraced).

Example: 8

The median listing price (Terraced).

Example: 1175000

The median sold price (Terraced).

Example: 1150000

Average days from listing to SSTC (Terraced).

Example: 46

Ratio of properties sold within 30 days (All types).

Example: 0.32

Ratio of properties sold within 30 days (Detached).

Example: 0.18

Ratio of properties sold within 30 days (Semi-Detached).

Example: 0.25

Ratio of properties sold within 30 days (Terraced).

Example: 0.28

Ratio of properties sold within 30 days (Flat).

Example: 0.38

Ratio of properties sold within 60 days (All types).

Example: 0.55

Ratio of properties sold within 60 days (Detached).

Example: 0.42

Ratio of properties sold within 60 days (Semi-Detached).

Example: 0.48

Ratio of properties sold within 60 days (Terraced).

Example: 0.52

Ratio of properties sold within 60 days (Flat).

Example: 0.62

Ratio of properties sold within 90 days (All types).

Example: 0.72

Ratio of properties sold within 90 days (Detached).

Example: 0.58

Ratio of properties sold within 90 days (Semi-Detached).

Example: 0.65

Ratio of properties sold within 90 days (Terraced).

Example: 0.68

Ratio of properties sold within 90 days (Flat).

Example: 0.78

GET/market-analytics/get-monthly-market-analysis

curl --request GET \
  --url 'https://api.propalt.io/market-analytics/get-monthly-market-analysis?first_postcode=%3Cstring%3E' \
  --header 'Authorization: <string>'

shell

Example Responses

{
  "month": "string",
  "region": "string",
  "count_O": 0,
  "sold_count_O": 0,
  "median_price_O": 0,
  "median_sold_price_O": 0,
  "avg_day_to_sstc_O": 0,
  "count_D": 0,
  "sold_count_D": 0,
  "median_price_D": 0,
  "median_sold_price_D": 0,
  "avg_day_to_sstc_D": 0,
  "count_F": 0,
  "sold_count_F": 0,
  "median_price_F": 0,
  "median_sold_price_F": 0,
  "avg_day_to_sstc_F": 0,
  "count_S": 0,
  "sold_count_S": 0,
  "median_price_S": 0,
  "median_sold_price_S": 0,
  "avg_day_to_sstc_S": 0,
  "count_T": 0,
  "sold_count_T": 0,
  "median_price_T": 0,
  "median_sold_price_T": 0,
  "avg_day_to_sstc_T": 0,
  "D30_sold_ratio_O": 0,
  "D30_sold_ratio_D": 0,
  "D30_sold_ratio_S": 0,
  "D30_sold_ratio_T": 0,
  "D30_sold_ratio_F": 0,
  "D60_sold_ratio_O": 0,
  "D60_sold_ratio_D": 0,
  "D60_sold_ratio_S": 0,
  "D60_sold_ratio_T": 0,
  "D60_sold_ratio_F": 0,
  "D90_sold_ratio_O": 0,
  "D90_sold_ratio_D": 0,
  "D90_sold_ratio_S": 0,
  "D90_sold_ratio_T": 0,
  "D90_sold_ratio_F": 0
}

json

application/json

Get Price Distribution

GET

https://api.propalt.io

/market-analytics/get-distribution-graph-data

Get selling valuation distribution graph data for a postcode outward code.

Get Price Distribution › query Parameters

first_postcode

string · pattern: ^([A-Za-z]{1,2}\d[A-… · required

UK postcode outward code (e.g. 'SW1A', 'B33'). 1-2 letters followed by 1 digit and optional letter/digit.

Get Price Distribution › Headers

Authorization

string · required

The Authorization header is used to authenticate with the API using your API key. Value is of the format Bearer YOUR_KEY_HERE.

Get Price Distribution › Responses

Distribution graph data with dynamic and fixed price buckets

Output schema for get_distribution_graph_data endpoint (documentation only). Do NOT use as response_model — return plain dicts from endpoints.

array · required

Dynamic price range labels (10 buckets) based on the min/max selling valuations in the area.

Example: {"0":"£350k-£420k","1":"£420k-£490k","2":"£490k-£560k","3":"£560k-£630k","4":"£630k-£700k","5":"£700k-£770k","6":"£770k-£840k","7":"£840k-£910k","8":"£910k-£980k","9":"£980k-£1.05M"}

array · required

Property counts for each dynamic price range bucket.

Example: {"0":45,"1":82,"2":156,"3":210,"4":285,"5":198,"6":142,"7":95,"8":62,"9":38}

array · required

Fixed price range labels in £100k increments from £0 to >£1M.

Example: {"0":"£0-£100k","1":"£100k-£200k","2":"£200k-£300k","3":"£300k-£400k","4":"£400k-£500k","5":"£500k-£600k","6":"£600k-£700k","7":"£700k-£800k","8":"£800k-£900k","9":"£900k-£1M","10":">£1M"}

array · required

Property counts for each fixed price range bucket.

Example: {"0":5,"1":12,"2":28,"3":65,"4":142,"5":258,"6":312,"7":245,"8":185,"9":120,"10":380}

GET/market-analytics/get-distribution-graph-data

curl --request GET \
  --url 'https://api.propalt.io/market-analytics/get-distribution-graph-data?first_postcode=%3Cstring%3E' \
  --header 'Authorization: <string>'

shell

Example Responses

{
  "labels": [
    {}
  ],
  "data": [
    {}
  ],
  "s_labels": [
    {}
  ],
  "s_data": [
    {}
  ]
}

json

application/json

Property Market Activity

Get Regional Analysis

GET

https://api.propalt.io

/market-analytics/get-analysis-data

Retrieve regional analysis data (property characteristics, energy costs, dwelling counts) by postcode outward code.

Get Regional Analysis › query Parameters

first_postcode

string · pattern: ^([A-Za-z]{1,2}\d[A-… · required

UK postcode outward code (e.g. 'SW1A', 'B33'). 1-2 letters followed by 1 digit and optional letter/digit.

Get Regional Analysis › Headers

Authorization

string · required

The Authorization header is used to authenticate with the API using your API key. Value is of the format Bearer YOUR_KEY_HERE.

Get Regional Analysis › Responses

Regional analysis data for a postcode outward code

Output schema for get_analysis_data endpoint (documentation only). Do NOT use as response_model — return plain dicts from endpoints.

The primary outward code of the UK postcode (e.g., SW1A) used for regional aggregation.

Example: NW3

Mean count of bedrooms for residential properties within the specified sector.

Example: 2.8

Mean count of bathrooms for residential properties within the specified sector.

Example: 1.4

Mean count of reception rooms (lounges, dining rooms) within the specified sector.

Example: 1.2

Average Gross Internal Area (GIA) in square metres, measured per RICS professional standards.

Example: 78.5

Current Energy Performance Certificate (EPC) rating, ranging from A (high) to G (low).

Example: D

Estimated annual cost (GBP) for property lighting based on current energy prices.

Example: 88.5

Estimated annual cost (GBP) for space heating based on current energy prices.

Example: 645.2

Estimated annual cost (GBP) for domestic hot water based on current energy prices.

Example: 172.8

Categorical age range of the property's original construction (e.g., '2007 onwards').

Example: 1900-1929

Mean fixed-line broadband download speed (Mbps) recorded within the sector.

Example: 82.5

Total count of Detached residential dwellings within the area.

Example: 320

Total count of Semi-Detached residential dwellings within the area.

Example: 580

Total count of Terraced residential dwellings within the area.

Example: 1250

Total count of Flats or maisonettes within the area.

Example: 3800

Get Quarterly Market Analysis

GET

https://api.propalt.io

/market-analytics/get-quarterly-market-analysis

Retrieve quarterly market analysis data (listings, sales, prices, SSTC times, reductions).

Three execution paths:

first_postcode_list — direct lookup by a list of outcodes; each row gets a resolved region_name.
region + breakdown='aggregated' (default) — direct lookup of the pre-aggregated region row.
region + breakdown='outcode' — expands the region into its constituent outcodes; each row carries first_postcode and region_name.

Get Quarterly Market Analysis › query Parameters

first_postcode_list

string

region

string · enum

Enum values:

Greater London

East Of England

Yorkshire

Wales

North East

North West

South East

South West

period

string · pattern: ^\d{4}-Q[1-4]$

breakdown

string · enum

Enum values:

aggregated

outcode

Default: aggregated

return_national

string · pattern: ^[yn]$

Default: n

order_by

string · enum

Enum values:

count_O

sold_count_O

median_price_O

median_price_O_pct

median_sold_price_O

avg_day_to_sstc_O

avg_day_to_sstc_O_pct

count_D

order_dir

string · enum

Enum values:

asc

desc

Default: desc

limit

integer · min: 1 · max: 100

Default: 100

offset

integer · min: 0

Default: 0

Get Quarterly Market Analysis › Headers

Authorization

string · required

The Authorization header is used to authenticate with the API using your API key. Value is of the format Bearer YOUR_KEY_HERE.

Get Quarterly Market Analysis › Responses

Output schema for get_quarterly_market_analysis endpoint (documentation only). Do NOT use as response_model — return plain dicts from endpoints.

The specific quarter/period of the analysis.

Example: 2025-Q4

The geographic area: outcode (e.g. 'AB10'), region name (e.g. 'Greater London') when breakdown='aggregated', or 'National'.

Example: NW3

Constituent outcode of the queried region. Present only when region is supplied with breakdown='outcode'.

Example: NW3

Example: Greater London

Count of properties listed in this period (All property types).

Example: 285

Count of properties sold in this period (All property types).

Example: 142

The median listing price of properties (All property types).

Example: 875000

Percentage change in median listing price (All property types).

Example: 2.3

The median sold price of properties (All property types).

Example: 850000

Average days from listing to Sold Subject to Contract (All property types).

Example: 45

Percentage change in average days to SSTC (All property types).

Example: -5.2

Count of properties listed (Detached).

Example: 18

Count of properties sold (Detached).

Example: 8

The median listing price (Detached).

Example: 2450000

Percentage change in median listing price (Detached).

Example: 1.8

The median sold price (Detached).

Example: 2380000

Average days from listing to SSTC (Detached).

Example: 62

Percentage change in average days to SSTC (Detached).

Example: -3.1

Count of properties listed (Flat).

Example: 185

Count of properties sold (Flat).

Example: 95

The median listing price (Flat).

Example: 625000

Percentage change in median listing price (Flat).

Example: 3.1

The median sold price (Flat).

Example: 610000

Average days from listing to SSTC (Flat).

Example: 38

Percentage change in average days to SSTC (Flat).

Example: -6.8

Count of properties listed (Semi-Detached).

Example: 32

Count of properties sold (Semi-Detached).

Example: 15

The median listing price (Semi-Detached).

Example: 1350000

Percentage change in median listing price (Semi-Detached).

Example: 1.5

The median sold price (Semi-Detached).

Example: 1320000

Average days from listing to SSTC (Semi-Detached).

Example: 52

Percentage change in average days to SSTC (Semi-Detached).

Example: -4

Count of properties listed (Terraced).

Example: 50

Count of properties sold (Terraced).

Example: 24

The median listing price (Terraced).

Example: 1150000

Percentage change in median listing price (Terraced).

Example: 2

The median sold price (Terraced).

Example: 1125000

Average days from listing to SSTC (Terraced).

Example: 48

Percentage change in average days to SSTC (Terraced).

Example: -3.5

Probability ratio that a property will receive a price reduction.

Example: 0.28

Ratio of properties with price reductions (All types).

Example: 0.22

Ratio of properties with price reductions (Detached).

Example: 0.18

Ratio of properties with price reductions (Semi-Detached).

Example: 0.2

Ratio of properties with price reductions (Terraced).

Example: 0.24

Ratio of properties with price reductions (Flats).

Example: 0.25

Total count of properties that reached legal Land Registry completion.

Example: 128

Average days from SSTC to legal completion (All property types).

Example: 95

Average days from SSTC to legal completion (Houses).

Example: 88

Average days from SSTC to legal completion (Flats).

Example: 102

Price reduction ratio based on final Land Registry sold price (All property types).

Example: -0.035

Price reduction ratio based on final Land Registry sold price (Flats).

Example: -0.028

Price reduction ratio based on final Land Registry sold price (Houses).

Example: -0.042

Ratio of listed properties that reached Sold Subject to Contract in this period (All property types).

Example: 0.498

Number of properties that returned to market after SSTC (All property types).

Example: 12

Ratio of SSTC properties that returned to market (All property types).

Example: 0.084

Number of properties removed from market without ever going SSTC (All property types).

Example: 18

Ratio of listings removed from market without ever going SSTC (All property types).

Example: 0.063

Count of listings that received a price reduction in this period (All property types).

Example: 63

{ "quarter": "string", "region": "string", "first_postcode": "string", "region_name": "string", "count_O": 0, "sold_count_O": 0, "median_price_O": 0, "median_price_O_pct": 0, "median_sold_price_O": 0, "avg_day_to_sstc_O": 0, "avg_day_to_sstc_O_pct": 0, "count_D": 0, "sold_count_D": 0, "median_price_D": 0, "median_price_D_pct": 0, "median_sold_price_D": 0, "avg_day_to_sstc_D": 0, "avg_day_to_sstc_D_pct": 0, "count_F": 0, "sold_count_F": 0, "median_price_F": 0, "median_price_F_pct": 0, "median_sold_price_F": 0, "avg_day_to_sstc_F": 0, "avg_day_to_sstc_F_pct": 0, "count_S": 0, "sold_count_S": 0, "median_price_S": 0, "median_price_S_pct": 0, "median_sold_price_S": 0, "avg_day_to_sstc_S": 0, "avg_day_to_sstc_S_pct": 0, "count_T": 0, "sold_count_T": 0, "median_price_T": 0, "median_price_T_pct": 0, "median_sold_price_T": 0, "avg_day_to_sstc_T": 0, "avg_day_to_sstc_T_pct": 0, "OTM_reduction_probability": 0, "reduction_ratio_O": 0, "reduction_ratio_D": 0, "reduction_ratio_S": 0, "reduction_ratio_T": 0, "reduction_ratio_F": 0, "completed_count_O": 0, "avg_day_from_sstc_to_LR_O": 0, "avg_day_from_sstc_to_LR_H": 0, "avg_day_from_sstc_to_LR_F": 0, "LR_reduction_ratio_O": 0, "LR_reduction_ratio_F": 0, "LR_reduction_ratio_H": 0, "sstc_pct_O": 0, "fall_through_count_O": 0, "fall_through_pct_O": 0, "withdrawal_count_O": 0, "withdrawal_pct_O": 0, "reduction_count_O": 0 }

Get Monthly Market Analysis

GET

https://api.propalt.io

/market-analytics/get-monthly-market-analysis

Retrieve monthly market analysis data (listings, sales, prices, SSTC times, reductions) by postcode outward code.

Get Monthly Market Analysis › query Parameters

first_postcode

string · pattern: ^([A-Za-z]{1,2}\d[A-… · required

UK postcode outward code (e.g. 'SW1A', 'B33'). 1-2 letters followed by 1 digit and optional letter/digit.

return_national

string · pattern: ^[yn]$

Whether to include national statistics for comparison. 'y' or 'n'.

Default: n

Get Monthly Market Analysis › Headers

Authorization

string · required

The Authorization header is used to authenticate with the API using your API key. Value is of the format Bearer YOUR_KEY_HERE.

Get Monthly Market Analysis › Responses

Monthly market analysis data by postcode district

Output schema for get_monthly_market_analysis endpoint (documentation only). Do NOT use as response_model — return plain dicts from endpoints.

The specific month/period of the analysis (e.g. 'January 2026').

Example: January 2026

The geographic area or postcode district (e.g. 'AB10').

Example: NW3

Count of properties listed in this period (All property types).

Example: 95

Count of properties sold in this period (All property types).

Example: 48

The median listing price of properties (All property types).

Example: 890000

The median sold price of properties (All property types).

Example: 865000

Average days from listing to SSTC (All property types).

Example: 42

Count of properties listed (Detached).

Example: 6

Count of properties sold (Detached).

Example: 3

The median listing price (Detached).

Example: 2500000

The median sold price (Detached).

Example: 2420000

Average days from listing to SSTC (Detached).

Example: 58

Count of properties listed (Flat).

Example: 62

Count of properties sold (Flat).

Example: 32

The median listing price (Flat).

Example: 635000

The median sold price (Flat).

Example: 620000

Average days from listing to SSTC (Flat).

Example: 35

Count of properties listed (Semi-Detached).

Example: 11

Count of properties sold (Semi-Detached).

Example: 5

The median listing price (Semi-Detached).

Example: 1380000

The median sold price (Semi-Detached).

Example: 1340000

Average days from listing to SSTC (Semi-Detached).

Example: 50

Count of properties listed (Terraced).

Example: 16

Count of properties sold (Terraced).

Example: 8

The median listing price (Terraced).

Example: 1175000

The median sold price (Terraced).

Example: 1150000

Average days from listing to SSTC (Terraced).

Example: 46

Ratio of properties sold within 30 days (All types).

Example: 0.32

Ratio of properties sold within 30 days (Detached).

Example: 0.18

Ratio of properties sold within 30 days (Semi-Detached).

Example: 0.25

Ratio of properties sold within 30 days (Terraced).

Example: 0.28

Ratio of properties sold within 30 days (Flat).

Example: 0.38

Ratio of properties sold within 60 days (All types).

Example: 0.55

Ratio of properties sold within 60 days (Detached).

Example: 0.42

Ratio of properties sold within 60 days (Semi-Detached).

Example: 0.48

Ratio of properties sold within 60 days (Terraced).

Example: 0.52

Ratio of properties sold within 60 days (Flat).

Example: 0.62

Ratio of properties sold within 90 days (All types).

Example: 0.72

Ratio of properties sold within 90 days (Detached).

Example: 0.58

Ratio of properties sold within 90 days (Semi-Detached).

Example: 0.65

Ratio of properties sold within 90 days (Terraced).

Example: 0.68

Ratio of properties sold within 90 days (Flat).

Example: 0.78

{ "month": "string", "region": "string", "count_O": 0, "sold_count_O": 0, "median_price_O": 0, "median_sold_price_O": 0, "avg_day_to_sstc_O": 0, "count_D": 0, "sold_count_D": 0, "median_price_D": 0, "median_sold_price_D": 0, "avg_day_to_sstc_D": 0, "count_F": 0, "sold_count_F": 0, "median_price_F": 0, "median_sold_price_F": 0, "avg_day_to_sstc_F": 0, "count_S": 0, "sold_count_S": 0, "median_price_S": 0, "median_sold_price_S": 0, "avg_day_to_sstc_S": 0, "count_T": 0, "sold_count_T": 0, "median_price_T": 0, "median_sold_price_T": 0, "avg_day_to_sstc_T": 0, "D30_sold_ratio_O": 0, "D30_sold_ratio_D": 0, "D30_sold_ratio_S": 0, "D30_sold_ratio_T": 0, "D30_sold_ratio_F": 0, "D60_sold_ratio_O": 0, "D60_sold_ratio_D": 0, "D60_sold_ratio_S": 0, "D60_sold_ratio_T": 0, "D60_sold_ratio_F": 0, "D90_sold_ratio_O": 0, "D90_sold_ratio_D": 0, "D90_sold_ratio_S": 0, "D90_sold_ratio_T": 0, "D90_sold_ratio_F": 0 }

Get Price Distribution

GET

https://api.propalt.io

/market-analytics/get-distribution-graph-data

Get selling valuation distribution graph data for a postcode outward code.

Get Price Distribution › query Parameters

first_postcode

string · pattern: ^([A-Za-z]{1,2}\d[A-… · required

UK postcode outward code (e.g. 'SW1A', 'B33'). 1-2 letters followed by 1 digit and optional letter/digit.

Get Price Distribution › Headers

Authorization

string · required

The Authorization header is used to authenticate with the API using your API key. Value is of the format Bearer YOUR_KEY_HERE.

Get Price Distribution › Responses

Distribution graph data with dynamic and fixed price buckets

Output schema for get_distribution_graph_data endpoint (documentation only). Do NOT use as response_model — return plain dicts from endpoints.

array · required

Dynamic price range labels (10 buckets) based on the min/max selling valuations in the area.

array · required

Property counts for each dynamic price range bucket.

Example: {"0":45,"1":82,"2":156,"3":210,"4":285,"5":198,"6":142,"7":95,"8":62,"9":38}

array · required

Fixed price range labels in £100k increments from £0 to >£1M.

array · required

Property counts for each fixed price range bucket.

Example: {"0":5,"1":12,"2":28,"3":65,"4":142,"5":258,"6":312,"7":245,"8":185,"9":120,"10":380}