What the Data for This Category Looks Like
The data for commercial real estate intelligent due diligence reports comes from real estate registration system interfaces, project rental ledger APIs, business district passenger flow monitoring platforms, property operation log interfaces, and project compliance document scan storage interfaces. Ownership information is updated only when property rights change. Rental cash flow is updated monthly. Business district passenger flow data is updated weekly. Compliance documents are updated in sync with project rectifications. The document structure includes project basic information, ownership certificate, rental income, surrounding competitor comparison, and compliance verification modules. Fields include exclusive business fields such as parcel number, real estate certificate number, building area, average monthly rent, and passenger flow peak. A complete single report contains tens of thousands of characters of text content.
Constraints Imposed on HTTP Interfaces and External Systems
The multi-source heterogeneous nature of commercial real estate due diligence data requires HTTP interfaces to use multiple sets of authentication rules. These rules adapt to requirements of different data sources such as API keys and signature verification. Differences in update frequencies across data sources require differentiated polling intervals and timeout thresholds for each interface. This prevents resource waste from high-frequency calls to low-update-frequency interfaces. It also prevents data lag from low-frequency calls to high-update-frequency interfaces. Exclusive field and unit requirements require clear field binding rules during interface request and return mapping. This avoids unit errors or field missing caused by generic conversion. Long document content and attachment data require HTTP interfaces to support paged returns and chunked transmission. This prevents timeouts or truncation caused by excessively large single request payloads.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
externalApiAuthType | apiKey + signature | Commercial real estate data includes sensitive information such as ownership and rental details. Dual authentication ensures secure data transmission |
externalApiTimeout | 300-600 seconds | Commercial real estate due diligence data interfaces return multi-dimensional associated content, resulting in long request processing times |
jsonEscapeStrategy | auto-strip-extra | Adapts to JSON format differences returned by multi-source interfaces, resolves issues with excessive nested field escaping |
fieldMappingRule | bind units by business field | Commercial real estate data includes exclusive units such as square meters, yuan/square meter/month, etc. Clear binding rules between fields and units are required |
responsePaginationEnable | true | Commercial real estate due diligence report data volume is large. Paged returns prevent interface timeouts or content truncation |
externalApiRetryCount | 2 times | Addresses temporary fluctuations in business district passenger flow and rental data interfaces, reduces call failure rates |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- An external interface call returns the
aiPointsNotEnougherror code: Exclusive interface call quota for commercial real estate due diligence scenarios is not configured, or the quota does not cover the total call volume of multi-source heterogeneous interfaces. - Excessive nested escape characters in JSON data returned by HTTP requests cause field parsing failures during secondary calls: The automatic cleanup configuration of
jsonEscapeStrategyis not enabled, and original returned content is used directly for subsequent requests. - AI conversation cannot be triggered with XLSX-format due diligence attachments:
fileParseSupportTypeis not configured to include the MIME type for Excel format, or thecontent-typecheck of the attachment upload interface fails, resulting in incorrect parsing of the attachment.
How to Confirm Correct Configuration
- Initiate a single-source external interface call, check if escape characters in returned content meet expectations, and verify that the
jsonEscapeStrategyconfiguration takes effect. - Call a combination of multi-source interfaces, view quota consumption in interface call logs, and confirm that the quota covers call requirements for the current scenario.
- Upload XLSX-format commercial real estate due diligence attachments, check if parsed fields include exclusive business fields and units, and verify that format configurations are correct.
- Trigger a tool call chain, check if error logs include content prefixed with
software.amazon.awssdk.services.bedrockruntime.model., and confirm that external system permission configurations are correct.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.