# Rental Comps Analysis API > Rental Comps Analysis API is a paid API for AI agents from 192.3.171.233, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15). Analyzes caller-supplied rental observations against a target property, scoring comparables and returning a weighted rent estimate with confidence band, market benchmarks, and evidence provenance. ## Facts - Endpoint: POST https://192.3.171.233/v1/rentals/comps - Price: $0.05/call - Payment: x402 - Status: unknown - Last checked: 2026-09-15 - Activations on Zero: 0 - Tags: x402 - Canonical page: https://www.zero.xyz/c/rental-comps-analysis-api-06bc05d3 - Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_PzNyBljvI2Ufcdjw_W3aF Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently. ## How to call it through Zero Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`): ```sh zero fetch --capability rental-comps-analysis-api-06bc05d3 -d '' ``` Example prompt: Run a rental comp analysis on a 2-bedroom, 2-bathroom multifamily unit at 600 Guadalupe St, Unit 901, Austin TX 78701 — 1,020 sq ft — using the candidate listings I'm providing and give me a confidence-scored rent estimate alongside ZORI and HUD fair market rent benchmarks. ## When to prefer this Choose this endpoint when you have caller-supplied rental observations you are authorized to process and need a structured, evidence-backed rent estimate with confidence scoring and market benchmark context for a specific U.S. target property. It is ideal for property managers, pricing agents, and tenant advisors who need a defensible comp run with full provenance rather than a simple ZIP-level market snapshot. Prefer this over the market snapshot endpoint when you have proprietary or curated comparable observations to contribute. Prefer it over manual analysis when you need machine-readable confidence bands, HUD/ZORI benchmark overlays, and a content-hashed audit trail. ## Known failure modes - Unsigned or missing x402 payment header returns 402 challenge before validation - Invalid credentials or inability to produce minimum advertised result rejected before payment and not charged - Insufficient or unresolvable candidate observations may lower confidence band to LOW or return no estimate - Target property address not geocodable returns validation error - Policy object with conflicting or unsupported parameters may cause rejection - Candidate observations missing required fields result in filtering or rejection ## How this service works An x402-paid API suite for autonomous agents. The freight operation preserves deterministic U.S. DOT/FMCSA carrier checks. A self-contained rental market snapshot returns available public rent benchmarks, trends, provenance, and optional budget fit from a ZIP code and bedroom count. Other rental operations normalize, deduplicate, search, compare, and analyze rental observations supplied by a caller who is authorized to process them. Zillow Research ZORI, U.S. Census ZCTA geography, and HUD Fair Market Rent data are not represented as unit-level listings or executed lease rents. Unsigned requests receive the x402 challenge before validation. Credential-bearing retries that are invalid or cannot produce the advertised minimum result are rejected before payment verification and settlement and are not charged. ## Output Returns a structured comp run result including: a weighted rent point estimate and plausible range, a confidence band (HIGH/MEDIUM/LOW) with score and method, scored and ranked comparable observations, area-level market context (ZORI typical rent, 1/3/12-month change percentages, HUD Fair Market Rents by bedroom count), a full evidence chain with content hashes and attribution, and any data quality warnings. Also echoes the target property details and a unique comp run ID. ## Request schema (JSON Schema) ```json { "type": "object", "properties": { "policy": { "type": "object" }, "target": { "type": "object" }, "candidates": { "type": "array", "items": { "type": "object" } } } } ``` ## Response schema (JSON Schema) ```json { "type": "json", "example": { "market": { "evidence": [ { "id": "ev_zori", "dataset": "Zillow Observed Rent Index (ZORI)", "sourceId": "zillow-research", "sourceUrl": "https://rentals.example/listings/AUS-1200-12A", "fieldPaths": [ "/typicalRentCents" ], "observedAt": "2026-08-23T16:00:00Z", "attribution": "Caller-authorized property manager feed", "contentHash": "sha256:ccdbf127d9e36d25f3c0e535a3cb4280c7b67117399e6fe42a41a914f1c9087a", "retrievedAt": "2026-08-24T12:05:00Z" } ], "latitude": 30.2713, "warnings": [ "Market benchmarks are area-level context and are not substitutes for property-level comparables." ], "longitude": -97.7426, "postalCode": "78701", "generatedAt": "2026-08-24T12:00:00Z", "hudAreaCode": "METRO12420M12420", "hudAreaName": "Austin-Round Rock-Georgetown, TX HUD Metro FMR Area", "sourceCount": 2, "datasetVersion": "rental-ds-2026-08-24-6af7130e", "change1MonthPct": 0.3, "change3MonthPct": 1.1, "typicalRentAsOf": "2026-07", "change12MonthPct": -0.8, "typicalRentCents": 229400, "hudFairMarketRentsCents": { "0": 143000, "1": 160000, "2": 195000, "3": 254000 } }, "target": { "address": { "city": "Austin", "unit": "901", "line1": "600 Guadalupe St", "state": "TX", "postalCode": "78701" }, "bedrooms": 2, "latitude": 30.2704, "bathrooms": 2, "longitude": -97.7462, "squareFeet": 1020, "propertyType": "MULTIFAMILY" }, "evidence": [ { "id": "ev_listing_1", "dataset": "Rental listing observation", "sourceId": "property-manager-feed", "sourceUrl": "https://rentals.example/listings/AUS-1200-12A", "fieldPaths": [ "/comparables/0" ], "observedAt": "2026-08-23T16:00:00Z", "attribution": "Caller-authorized property manager feed", "contentHash": "sha256:ccdbf127d9e36d25f3c0e535a3cb4280c7b67117399e6fe42a41a914f1c9087a", "retrievedAt": "2026-08-24T12:05:00Z" } ], "warnings": [ "The estimate uses asking-rent observations, not executed lease rents.", "The plausible range is a weighted interquartile range, not a statistical confidence interval." ], "compRunId": "cmp_a017cab11f737b2fc633", "confidence": { "band": "MEDIUM", "score": 78, "method": "HEURISTIC_V1_UNCALIBRATED", "factors": [ { "name": "effectiveSampleSize", "score": 0.74, "weight": 0.3 }, { "na … (truncated) ``` ## More - Live health (JSON, refreshed every minute): https://www.zero.xyz/c/rental-comps-analysis-api-06bc05d3/health.json - [Zero catalog index](https://www.zero.xyz/llms.txt) - [Other services from 192.3.171.233](https://www.zero.xyz/host/192.3.171.233/llms.txt)