Copiez intégralement le bloc ci-dessous dans votre prompt LLM (ChatGPT, Claude, Cursor) pour qu’il génère des payloads Fluximmo corrects sans hallucination. Cible: 2-4K tokens.Documentation Index
Fetch the complete documentation index at: https://doc.fluximmo.io/llms.txt
Use this file to discover all available pages before exploring further.
# Fluximmo API v2 — Context (FR real-estate intelligence)
## 1. Identity
Fluximmo is a French real-estate intelligence API (since 2017). Two core entities:
- Property = unique deduplicated physical asset (1 bien = N adverts merged).
- Advert = one listing on one portal (raw, with events).
Full docs: https://doc.fluximmo.io . Sample no-auth: https://api.fluximmo.io/v2/sample/properties
## 2. Property vs Advert (decision matrix)
| Need | Use |
|--------------------------------------------|-------------|
| Dedup market view, AVM, marketplace | Property |
| Per-listing price drops, republish, offline| Advert |
| Webhook with full payload + events | Advert |
| Webhook IDs only (refetch via GET) | Property |
| Lightweight autocomplete / mobile | Lite search |
## 3. Core types (TS-like)
```ts
type SearchPropertiesPayload = {
size: number, // 1-100 (full) or 1-25 (lite)
sortBy: EnumSearchRequestSortBy,
orderBy: "ASC" | "DESC",
search: { filterProperty: FilterProperty }
}
type SearchAdvertsPayload = {
size: number,
sortBy: EnumSearchRequestSortBy,
orderBy: "ASC" | "DESC",
search: { filterAd: FilterAdvert }
}
type SaveSearchPropertiesPayload = {
search_query: { filterProperty: FilterProperty },
webhook_url: string, // HTTPS public URL
match: EnumPropertyAlertMatch[], // ["ALERT_MATCH_CREATED"] is the safe default
search_name: string,
context?: { metadata?: Record<string, unknown> } // QueryContextDto — optional
}
type SaveSearchAdvertsPayload = {
search_query: { filterAd: FilterAdvert },
webhook_url: string,
match: EnumAdvertAlertMatch[],
search_name: string,
context?: { metadata?: Record<string, unknown> }
}
type FilterProperty = {
location?: FilterLocation[], // OR across array entries
type?: EnumPropertyClass[],
offer?: { type: EnumPropertyOfferType }[],
price?: FilterPropertyPrice, // {initial|latest}.value.{min,max}
habitation?: FilterTypeHabitation,
meta?: FilterMeta
}
type FilterAdvert = {
location?: FilterLocation, // single object (NOT array — unlike FilterProperty)
type?: EnumPropertyClass[],
offer?: { type: EnumPropertyOfferType }[],
currentPrice?: FilterAdvertPrice, // field name is `currentPrice` (NOT `price`)
habitation?: FilterTypeHabitation,
meta?: FilterMeta,
isOnline?: boolean // production: set to true on alerts
}
type FilterLocation = {
postalCode?: string, // "75011"
inseeCode?: string, // "75056"
department?: string, // "75" (2 chars FR)
irisCode?: string,
// city is silently IGNORED by the engine — DO NOT USE
locationCoordinate?: {
location: {
geoBoundingBox?: { // topLeft.lat > bottomRight.lat AND topLeft.lon < bottomRight.lon
topLeft: { lat: number, lon: number },
bottomRight: { lat: number, lon: number }
},
geoDistance?: { // Plane distance, not Haversine
pin: { lat: number, lon: number },
distanceKm: number // > 0 required
}
}
}
}
// NOTE: geoShape / POLYGON not exposed. Use geoBoundingBox or multi-zone OR.
type FilterPropertyPrice = {
initial?: { value: { min?: number, max?: number } },
latest?: { value: { min?: number, max?: number } }
}
type FilterAdvertPrice = {
value?: { min?: number, max?: number }, // EUR
valuePerArea?: { min?: number, max?: number } // EUR per m2
}
type FilterTypeHabitation = {
surface?: { total?: { min?: number, max?: number } }, // m2
bedroomCount?: { min?: number, max?: number },
roomCount?: { min?: number, max?: number },
floor?: { min?: number, max?: number }
}
type FilterMeta = {
isTotallyOffline?: boolean, // PROPERTIES production: set to false
firstSeenAt?: { min?: string, max?: string }, // ISO 8601 — production typically min: "2025-01-01T00:00:00.000Z"
lastSeenAt?: { min?: string, max?: string },
lastUpdatedAt?: { min?: string, max?: string }
}
```
## 4. Enums (literal values, exact)
```ts
type EnumPropertyOfferType =
| "OFFER_BUY" | "OFFER_RENT" | "OFFER_LIFE_ANNUITY_SALE"
| "OFFER_HOLIDAYS" | "OFFER_AUCTION"
| "OFFER_BUSINESS_TAKE_OVER" | "OFFER_LEASE_BACK" | "OFFER_UNKNOWN"
type EnumPropertyClass =
| "CLASS_FLAT" | "CLASS_HOUSE" | "CLASS_PROGRAM" | "CLASS_LAND"
| "CLASS_PARKING" | "CLASS_OFFICE" | "CLASS_SHOP" | "CLASS_PREMISES"
| "CLASS_BUILDING" | "CLASS_ROOM" | "CLASS_OTHER" | "CLASS_UNKNOWN"
type EnumPropertyAlertMatch =
| "ALERT_MATCH_CREATED" // new property matched (safe default)
| "ALERT_MATCH_MERGED" // ONLY when a new advert is merged into an already-matched property (advanced, higher volume on large filters)
type EnumAdvertAlertMatch =
| "ALERT_MATCH_CREATED" // new advert matched
| "ALERT_MATCH_ADVERT_EVENT" // PRICE/REPUBLISHED/UNPUBLISHED on previously-matched advert
type EnumSearchRequestSortBy =
| "FIRST_SEEN_AT" | "LAST_SEEN_AT" | "LAST_UPDATED_AT" | "PRICE" | "RELEVANCE"
type EnumOrderBy = "ASC" | "DESC"
type EnumPricingScope = "PRICING_ONE_OFF" | "PRICING_MENSUAL"
type EnumCurrency = "CURRENCY_EUR" | "CURRENCY_USD"
```
## 5. Hard limits & auth
- size: 1-100 (full search) or 1-25 (lite search)
- search.keywords / search.fullTexts: max 20 items each
- geoDistance.distanceKm > 0 (else 400)
- geoBoundingBox: topLeft.lat > bottomRight.lat AND topLeft.lon < bottomRight.lon
- API base: https://api.fluximmo.io
- Auth: header `x-api-key: <YOUR_KEY>` (get one at https://my.fluximmo.io, free 1-week trial)
## 6. Match types & events
- PROPERTIES alerts emit:
- ALERT_MATCH_CREATED: a new property qualified
- ALERT_MATCH_MERGED: ONLY when a new advert is merged into an already-matched property (not on every check)
- ADVERTS alerts emit (alerts only — no public adverts/search endpoint exists):
- ALERT_MATCH_CREATED: new advert matched
- ALERT_MATCH_ADVERT_EVENT: event on a previously matched advert. Event subtypes: PRICE (any change, even 1 EUR), REPUBLISHED (offline -> online), UNPUBLISHED (online -> offline). CHECK is never emitted.
- NO BACKFILL on alert creation: events apply only to items processed AFTER alert creation. PROPERTIES side: combine `search` (one-shot retrospective) + `alert` (continuous). ADVERTS side: ask Fluximmo to replay historical backfill on your webhook by mail to [email protected].
- DELETING + RECREATING an alert loses event history. Use `PATCH /alerts/{flxId}` to modify in place.
## 7. 8 validated archetypes (Phase 3 PASS, 2026-05-04)
### A1. PROPERTIES — Paris achat appartement standard combo
POST /v2/protected/properties/search
```json
{"size":25,"sortBy":"FIRST_SEEN_AT","orderBy":"DESC","search":{"filterProperty":{"location":[{"postalCode":"75001"}],"type":["CLASS_FLAT","CLASS_HOUSE","CLASS_PROGRAM"],"offer":[{"type":"OFFER_BUY"}],"price":{"initial":{"value":{"min":100000,"max":350000}}},"habitation":{"surface":{"total":{"min":30,"max":110}},"bedroomCount":{"min":1,"max":3}},"meta":{"isTotallyOffline":false}}}}
```
### A2. PROPERTIES — Dpt 13 location maison >=80m2 >=3ch
POST /v2/protected/properties/search
```json
{"size":25,"sortBy":"FIRST_SEEN_AT","orderBy":"DESC","search":{"filterProperty":{"location":[{"department":"13"}],"type":["CLASS_HOUSE"],"offer":[{"type":"OFFER_RENT"}],"habitation":{"surface":{"total":{"min":80}},"bedroomCount":{"min":3}},"meta":{"isTotallyOffline":false}}}}
```
### A3. PROPERTIES — geoDistance 20km Tour Eiffel
POST /v2/protected/properties/search
```json
{"size":25,"sortBy":"FIRST_SEEN_AT","orderBy":"DESC","search":{"filterProperty":{"location":[{"locationCoordinate":{"location":{"geoDistance":{"pin":{"lat":48.85837,"lon":2.294481},"distanceKm":20}}}}],"type":["CLASS_FLAT"],"offer":[{"type":"OFFER_BUY"}],"meta":{"isTotallyOffline":false}}}}
```
### A4. PROPERTIES — geoBoundingBox Paris
POST /v2/protected/properties/search
```json
{"size":25,"sortBy":"FIRST_SEEN_AT","orderBy":"DESC","search":{"filterProperty":{"location":[{"locationCoordinate":{"location":{"geoBoundingBox":{"topLeft":{"lat":48.9021,"lon":2.2241},"bottomRight":{"lat":48.8156,"lon":2.4699}}}}}],"offer":[{"type":"OFFER_BUY"}],"meta":{"isTotallyOffline":false}}}}
```
### A5. PROPERTIES — Multi-zones OR (Paris + petite couronne 75/92/93/94)
POST /v2/protected/properties/search
```json
{"size":25,"sortBy":"FIRST_SEEN_AT","orderBy":"DESC","search":{"filterProperty":{"location":[{"department":"75"},{"department":"92"},{"department":"93"},{"department":"94"}],"type":["CLASS_FLAT"],"offer":[{"type":"OFFER_BUY"}],"meta":{"isTotallyOffline":false}}}}
```
### A6. ADVERTS alert — Dpt 75 achat appartement (CREATED only)
PUT /v2/protected/adverts/search/alerts
```json
{"search_query":{"filterAd":{"location":{"department":"75"},"type":["CLASS_FLAT"],"offer":[{"type":"OFFER_BUY"}],"isOnline":true}},"webhook_url":"https://votre-domaine.com/webhooks/fluximmo","match":["ALERT_MATCH_CREATED"],"search_name":"Achat T2-T3 Paris"}
```
### A7. ADVERTS alert — With events (PRICE / REPUBLISHED / UNPUBLISHED)
PUT /v2/protected/adverts/search/alerts
```json
{"search_query":{"filterAd":{"location":{"department":"75"},"type":["CLASS_FLAT"],"offer":[{"type":"OFFER_BUY"}],"currentPrice":{"value":{"max":600000}},"isOnline":true}},"webhook_url":"https://votre-domaine.com/webhooks/fluximmo","match":["ALERT_MATCH_CREATED","ALERT_MATCH_ADVERT_EVENT"],"search_name":"Paris achat - veille prix"}
```
### A8. PROPERTIES alert — Combo standard match=[CREATED]
PUT /v2/protected/properties/search/alerts
```json
{"search_query":{"filterProperty":{"location":[{"postalCode":"75001"}],"type":["CLASS_FLAT"],"offer":[{"type":"OFFER_BUY"}],"meta":{"isTotallyOffline":false}}},"webhook_url":"https://votre-domaine.com/webhooks/fluximmo-properties","match":["ALERT_MATCH_CREATED"],"search_name":"Properties Paris achat appartement"}
```
## 8. Open data — DPE & DVF (4 endpoints)
All POST, base https://api.fluximmo.io, auth header `x-api-key`. Independent from Property/Advert (no `search`/`filterProperty` wrapper). Two access patterns per dataset:
- `*/search` = filtered paginated list, no scoring. `filters` keys are **snake_case**. Cursor pagination.
- `*/match` = ranked candidates by similarity score, for reconciling a listing/asset to open data. `filters` keys are **snake_case**. `scoring_targets` influence ranking only — they never exclude candidates.
DPE = Diagnostic de Performance Énergétique (ADEME). DVF = Demandes de Valeurs Foncières (recorded sales).
### 8.1 Shared filter value shapes
```ts
type NumberRangeFilter = { min?: number, max?: number } // min=gte, max=lte
type DateRangeFilter = { from?: string, to?: string } // ISO date/date-time, from=gte, to=lte
type GeoDistanceFilter = { // all 3 required if used
lat: number, lon: number,
distance: string // "<num><unit>", unit: m|km|mi|ft|yd|nmi e.g. "10km"
}
```
### 8.2 POST /v2/protected/opendata/dpe/search
```ts
type DpeSearchPayload = {
filters?: DpeInheritFiltersDto,
sortBy?: "numero_dpe" | "date_etablissement_dpe" | "type_batiment"
| "surface_habitable_logement" | "etiquette_dpe" | "conso_5_usages_par_m2_ep"
| "emission_ges_5_usages" | "emission_ges_5_usages_par_m2" | "zone_climatique",
sortOrder?: "asc" | "desc",
size?: number, // 1-100, default 20
cursor?: string
}
type DpeInheritFiltersDto = {
numero_dpe?: string,
flx_id?: NumberRangeFilter,
date_etablissement_dpe?: DateRangeFilter,
date_visite_diagnostiqueur?: DateRangeFilter,
date_reception_dpe?: DateRangeFilter,
date_derniere_modification_dpe?: DateRangeFilter,
date_fin_validite_dpe?: DateRangeFilter,
identifiant_ban?: string, numero_voie_ban?: string,
code_insee_ban?: string, code_postal_ban?: string,
code_departement_ban?: string, code_region_ban?: string,
location?: GeoDistanceFilter,
type_batiment?: ("appartement" | "maison" | "immeuble")[],
periode_construction?: ("avant 1948" | "1948-1974" | "1975-1977" | "1978-1982"
| "1983-1988" | "1989-2000" | "2001-2005" | "2006-2012" | "2013-2021" | "après 2021")[],
surface_habitable_logement?: NumberRangeFilter,
surface_habitable_immeuble?: NumberRangeFilter,
surface_ventilee?: NumberRangeFilter,
nombre_niveau_logement?: NumberRangeFilter,
nombre_niveau_immeuble?: NumberRangeFilter,
nombre_appartement?: NumberRangeFilter,
etiquette_dpe?: ("A"|"B"|"C"|"D"|"E"|"F"|"G")[], // arrays — OR
etiquette_ges?: ("A"|"B"|"C"|"D"|"E"|"F"|"G")[],
conso_5_usages_ep?: NumberRangeFilter,
conso_5_usages_ef?: NumberRangeFilter,
conso_5_usages_par_m2_ep?: NumberRangeFilter,
conso_5_usages_par_m2_ef?: NumberRangeFilter,
emission_ges_5_usages?: NumberRangeFilter,
emission_ges_5_usages_par_m2?: NumberRangeFilter,
qualite_isolation_enveloppe?: ("insuffisante"|"moyenne"|"bonne"|"très bonne")[],
qualite_isolation_menuiseries?: ("insuffisante"|"moyenne"|"bonne"|"très bonne")[],
zone_climatique?: ("H1a"|"H1b"|"H1c"|"H2b"|"H2c"|"H2d"|"H3")[]
}
```
Response: `{ data: object[], total: number, size: number, hasMore: boolean, cursor?: string }`
### 8.3 POST /v2/protected/opendata/dpe/match
```ts
type DpeMatchPayload = {
filters?: DpeFiltersDto,
size?: number, // 1-20, default 5
scoring_targets?: MatchDpeScoringTargetsDto
}
type DpeFiltersDto = {
code_departement_ban?: string, code_insee_ban?: string, code_postal_ban?: string,
numero_dpe?: string,
type_batiment?: "appartement" | "maison" | "immeuble", // single string, NOT array
surface_habitable_logement?: NumberRangeFilter, // surface habitable logement m2
date_etablissement_dpe?: DateRangeFilter,
location?: GeoDistanceFilter
}
type MatchDpeScoringTargetsDto = {
conso_5_usages_par_m2_ep?: number, // kWh/m2/an (gauss decay)
emission_ges_5_usages_par_m2?: number, // kgCO2/m2/an (gauss decay)
etiquette_dpe?: "A"|"B"|"C"|"D"|"E"|"F"|"G",
etiquette_ges?: "A"|"B"|"C"|"D"|"E"|"F"|"G",
nombre_niveau_immeuble?: number, // 0-200
numero_etage_appartement?: number, // -10..200 (negative = basement)
periode_construction?: string, // same enum as periode_construction
nombre_niveau_logement?: number // 0-200
}
```
Response: `{ data: [{ score: number /*0-100*/, confidence: "HIGH"|"MEDIUM"|"LOW"|"REJECT", dpe: {} }], meta: { ambiguous: boolean /*top-2 gap <=5*/, total: number } }`
### 8.4 POST /v2/protected/opendata/dvf/search
```ts
type DvfSearchPayload = {
filters?: DvfInheritFiltersDto,
sortBy?: "id" | "transaction_date" | "price_eur"
| "price_per_m2_living_eur" | "price_per_m2_land_eur" | "surface_m2",
sortOrder?: "asc" | "desc",
size?: number, // 1-100, default 20
cursor?: string
}
type DvfInheritFiltersDto = {
id?: string,
transaction_date?: DateRangeFilter,
transaction_type?: ("Vente" | "Vente en l'etat futur d'achevement"
| "Vente terrain a batir" | "Echange")[], // exact strings, unaccented
price_eur?: NumberRangeFilter,
price_per_m2_living_eur?: NumberRangeFilter,
price_per_m2_land_eur?: NumberRangeFilter,
location?: GeoDistanceFilter,
departement_code?: string, insee_code?: string,
postal_code?: string, iris_code?: string,
iris_type?: ("H"|"A"|"D"|"Z")[],
property_type?: ("Appartement"|"Maison"|"Autre"|"Terrain"
|"Tertiaire"|"Dépendance"|"Volume")[], // accented, capitalized
surface_m2?: NumberRangeFilter,
main_rooms?: NumberRangeFilter,
land_surface_m2?: NumberRangeFilter,
is_new_build?: boolean,
is_open_market?: boolean,
carrez_surface_m2?: NumberRangeFilter,
soil_surface_m2?: NumberRangeFilter,
garden_surface_m2?: NumberRangeFilter
}
```
Response: `{ data: object[], total: number, size: number, hasMore: boolean, cursor?: string }`
### 8.5 POST /v2/protected/opendata/dvf/match
```ts
type DvfMatchPayload = {
filters?: DvfFiltersDto,
size?: number, // 1-20, default 5
scoring_targets?: MatchDvfScoringTargetsDto
}
type DvfFiltersDto = {
departement_code?: string, insee_code?: string, postal_code?: string,
id?: string,
property_type?: "Appartement"|"Maison"|"Autre"|"Terrain"
|"Tertiaire"|"Dépendance"|"Volume", // single string, NOT array
surface_m2?: NumberRangeFilter, // surface habitable m2
transaction_date?: DateRangeFilter,
location?: GeoDistanceFilter
}
type MatchDvfScoringTargetsDto = {
price_eur?: number, // EUR (gauss decay)
main_rooms?: number, // weighted filter
is_new_build?: boolean,
transaction_type?: "Vente" | "Vente en l'etat futur d'achevement"
| "Vente terrain a batir" | "Echange"
}
```
Response: `{ data: [{ score: number /*0-100*/, confidence: "HIGH"|"MEDIUM"|"LOW"|"REJECT", dvf: {} }], meta: { ambiguous: boolean, total: number } }`
### 8.6 DPE/DVF examples
#### O1. DPE search — appartements F/G dpt 75, surface 30-70 m2
POST /v2/protected/opendata/dpe/search
```json
{"filters":{"code_departement_ban":"75","type_batiment":["appartement"],"etiquette_dpe":["F","G"],"surface_habitable_logement":{"min":30,"max":70}},"sortBy":"date_etablissement_dpe","sortOrder":"desc","size":20}
```
#### O2. DPE search — geo 10km + DPE établi depuis 2024
POST /v2/protected/opendata/dpe/search
```json
{"filters":{"location":{"lat":48.8566,"lon":2.3522,"distance":"10km"},"date_etablissement_dpe":{"from":"2024-01-01T00:00:00.000Z"}},"size":50}
```
#### O3. DPE match — reconcile a listing to its DPE
POST /v2/protected/opendata/dpe/match
```json
{"filters":{"code_postal_ban":"75013","type_batiment":"appartement","surface_habitable_logement":{"min":52,"max":62},"location":{"lat":48.8323,"lon":2.3556,"distance":"300m"}},"size":5,"scoring_targets":{"etiquette_dpe":"D","conso_5_usages_par_m2_ep":210,"numero_etage_appartement":3}}
```
#### O4. DVF search — ventes appartements dpt 13, prix 150k-300k depuis 2023
POST /v2/protected/opendata/dvf/search
```json
{"filters":{"departement_code":"13","property_type":["Appartement"],"transaction_type":["Vente"],"price_eur":{"min":150000,"max":300000},"transaction_date":{"from":"2023-01-01"}},"sortBy":"transaction_date","sortOrder":"desc","size":20}
```
#### O5. DVF match — comparable sales for a 3-room flat
POST /v2/protected/opendata/dvf/match
```json
{"filters":{"insee_code":"83137","property_type":"Appartement","surface_m2":{"min":60,"max":75},"transaction_date":{"from":"2022-01-01"}},"size":5,"scoring_targets":{"price_eur":285000,"main_rooms":3,"transaction_type":"Vente"}}
```
## 9. Anti-patterns (read before generating)
- DO NOT confuse Property and Advert. Property = unique deduplicated asset (webhook = IDs only, refetch needed). Advert = one listing on one portal (webhook = full payload + events).
- DO NOT use `city` in FilterLocation: it is silently IGNORED. Use postalCode / inseeCode / department / irisCode.
- DO NOT use geoShape / POLYGON: not currently exposed. Use geoBoundingBox or geoDistance, optionally combined with multi-zone OR (array of FilterLocation entries).
- DO NOT mix GeoJSON `[lon, lat]` with API `{lat, lon}`: the API everywhere uses `{lat, lon}` objects, never arrays.
- DO NOT swap geoBoundingBox corners: topLeft.lat must be > bottomRight.lat AND topLeft.lon must be < bottomRight.lon.
- DO NOT confuse FilterPropertyPrice (`price.initial.value.{min,max}` / `price.latest.value.{min,max}`) with FilterAdvertPrice (`currentPrice.value.{min,max}` — different field name AND nested under `value`). They are not interchangeable.
- DO NOT rely on backfill at alert creation: alerts only match items processed AFTER creation. Combine search + alert.
- DO NOT delete + recreate an alert to modify it (loses event history). Use `PATCH /alerts/{flxId}`.
- DO NOT use Properties alerts to track per-listing price changes: PRICE / REPUBLISHED / UNPUBLISHED events only exist on Adverts alerts (`ALERT_MATCH_ADVERT_EVENT`).
- DO NOT skip `meta.isTotallyOffline`: production best practice is `meta.isTotallyOffline=false` to exclude completely offline items.
- DO NOT use `ALERT_MATCH_MERGED` casually on Properties alerts: it multiplies webhook volume. Default to `["ALERT_MATCH_CREATED"]`.
- Open-data filters are snake_case on BOTH `*/search` AND `*/match` (`code_departement_ban`, `transaction_date`, `surface_m2`…). Only the pagination params (`sortBy`, `sortOrder`, `cursor`, `size`) stay camelCase.
- DO NOT wrap DPE/DVF payloads in `search`/`filterProperty`: the body is flat (`filters`, `size`, `sortBy`/`scoring_targets`).
- DO NOT pass arrays to `type_batiment` / `property_type` on `*/match`: those are single strings (arrays only exist on `*/search`: `type_batiment`, `property_type`).
- DO NOT use `scoring_targets` to filter: they only re-rank candidates, never exclude. Use `filters` to restrict the candidate set.
- DO NOT accent or recapitalize `transaction_type` values: use exact strings like `Vente en l'etat futur d'achevement` (no accents). `property_type` values ARE accented/capitalized (`Appartement`, `Dépendance`).
- DO NOT omit `distance` on `location`: the open-data geo filter requires `{lat, lon, distance}` all three, with a unit suffix (e.g. `"10km"`).
## 10. Links
- Full docs: https://doc.fluximmo.io
- Sample no-auth Property: https://api.fluximmo.io/v2/sample/properties
- Sample no-auth Advert: https://api.fluximmo.io/v2/sample/adverts
- Sample webhook Property: https://api.fluximmo.io/v2/sample/webhook/properties
- Sample webhook Advert: https://api.fluximmo.io/v2/sample/webhook/adverts
- Concepts: /concepts/property-vs-advert , /concepts/match-types-cycle-alerte , /concepts/recherche-geographique , /concepts/webhooks
- Free trial API key: https://my.fluximmo.io (1 week, no commercial calls)
Last updated: 2026-05-16
Token count target: 2000-4000 tokens (~5-10K chars)