Close Knit

• find_areas — Shortlist London neighbourhoods for a household: budget, bedrooms, weighted priorities (crime, station access, price level, official deprivation decile, noise,
• open_shared_search — Open a search the user shared from the Close Knit site (a link with #profile=v1., v2. or v3.): their budget, priorities, places (gym, work, schools…), liked and
• find_similar_areas — Neighbourhoods like one the user liked (crime, deprivation, income, price level and station access percentiles), optionally only cheaper ones: 'like this but ch
• get_area_overview — One neighbourhood in detail for a decision: local market (sales, turnover, leasehold share, £/m² medians, growth), the borough's official UK HPI (hpi: average p
• assess_listing — Check one listing the user found against local evidence: asking price vs the neighbourhood's recorded £/m² (with floor area or a bedroom-based ballpark), turnov
• list_metrics — List every area metric the active release serves (id, unit, direction, available periods, legend, provenance, caveats), plus the My match factors (kind 'factor'
• search_areas — Resolve free text (area name, ONS code, postcode, street) to geography ids (uk:lsoa|msoa|borough:…) and, where recorded sales exist, address ids (uk:addr:…). Us
• get_area_metric — Evidence-backed value of one metric for one area in one month: value, regional (regionPercentile: within the area's region, London for a London area; rankScope
• rank_areas_by_metric — Rank every served area (or one region's, region='North West') by one metric for one month and return the top N with rank, value, unit and quality. Tied values s
• get_address_history — Recorded achieved sale prices for one address id (HM Land Registry Price Paid, GBP, with the EPC floor area where matched; no per-sale GBP/m2). These are histor
• get_home_prices — One London home's recorded sales (date, price, HM Land Registry link) and prices in its area today: the middle half (25th-75th percentile) of same-type standard
• match_areas — Score every area against a household's ordered criteria (preference-profile.v2: budget, ranges on any map layer, places, where zones, own criteria; must = filte
• get_market_depth — Local market depth of one LSOA or MSOA from HM Land Registry Price Paid (standard category A sales only): sales in the last 12 months, turnover (% of EPC-linked
• get_nearby_sales_summary — Counts and median GBP/m2 of other homes' recorded sales in the same building (postcode, house number or name, street) and on the same street (other buildings) a
• get_area_evidence_pack — One cited evidence pack for an area: market depth (as get_market_depth), the latest recorded crime rate, road and rail noise shares, state schools within 1.5 km
• search_places — Resolve a place the user mentions (station, borough, neighbourhood, postcode, street) to ids. Station lookup forgives spelling (Kings Cross, St James Park, Elep
• get_commute — Door-to-door minutes from one neighbourhood to the user's places on a weekday morning, by public transport (R5 on TfL timetables), bike (at the speed Santander
• get_flood_risk — Flood bands for an area's land (rivers/sea, surface water) and, with a UPRN, that home's own bands. Bands show the likelihood for an area, not a specific proper
• get_rent_levels — Median monthly rent by bedroom count for areas (the figure the site shows). Borough averages per LSOA; empty for a studio or before the rents are loaded.
• get_listing_search_links — Pre-filtered searches on Rightmove, Zoopla, OnTheMarket (and OpenRent for rentals) for the postcode districts of shortlisted areas. Links only: open them on the
• list_custom_presets — Ready-made custom criteria built from places on OpenStreetMap, with neutral descriptive names: kebab shops vs cafés, specialty coffee vs kebab shops, sandwich c
• evaluate_custom_criterion — Evaluate a criterion from places on the map for every London neighbourhood ('where are more cafés than kebab shops', 'most gyms in the area'), counting the plac
• build_watch_spec — Turn a finished search into a watch: portal searches per postcode district, filters, a state file path for de-duplication and a ready prompt for a scheduled tas
• send_feedback — Send feedback about Close Knit to the team: a bug, missing or wrong data, an idea, or what worked. Call it only after the user agrees: show them the message fir

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