HTTP Interfaces and External Systems for Steel Trade Marketing Content

Steel trade marketing data is primarily sourced from enterprise ERP inventory and procurement modules, regional steel spot trading platforms, and

What the data for this category looks like

Steel trade marketing data is primarily sourced from enterprise ERP inventory and procurement modules, regional steel spot trading platforms, and customer inquiry ledgers. Update frequencies vary: Spot quotes update every 1 to 4 hours, inventory data syncs with each transaction or daily, and customer engagement records generate in real time with sessions. Most documents follow structured table formats, including fields such as steel grade, nominal size, origin, tax-included unit price (yuan/ton), inventory surplus, delivery location, and more. Marketing supporting documents include customized quotation letters and metadata for regional promotion materials.

What constraints these characteristics impose on HTTP interfaces and external systems

Real-time spot quote requirements mean interfaces must support short-interval polling or Webhook pushes. Structured fields include numeric parameters with units, so interface requests need clear validation rules for units and value ranges. Associating marketing materials with customer transaction data requires interfaces to support cross-system identity token passing. When pulling inventory data in batches, pagination parameters must be adapted to avoid overloading single requests. Real-time synchronization of customer inquiry records requires interfaces to support low-latency write requests.

How to Set Configurations

Configuration ItemRecommended ValueRationale
API_REQUEST_TIMEOUT300–600 secondsAdapts to the time required for pulling batch steel inventory data and validating multiple fields, avoiding request interruptions due to timeout
UPLOAD_FILE_BATCH_LIMIT20–30 itemsSteel trade marketing documents are often long documents with structured tables. An overly large single batch can trigger parsing timeouts. This range balances import efficiency and stability
IDENTITY_VERIFICATION_MODEPre-verification based on business system tokensSteel trade customer data must be bound to FastGPT sessions to prevent unauthorized access to marketing content
WEBHOOK_PUSH_INTERVAL300–600 secondsMatches the update frequency of spot quote data, avoiding overly frequent requests that consume external system resources
API_FIELD_VALIDATION_RULESValidate units (yuan/ton) and value rangesSteel trade data includes price and inventory fields with units, ensuring the interface receives data in compliant formats
MAX_RESPONSE_ENTRIESTop 10–15 entriesMarketing content recommendations should focus on commonly used steel categories for high-intent customers, avoiding excessive redundant data that slows loading speeds

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 case-by-case analysis. Testing on local samples is recommended before finalizing settings.

Three Common Mistakes

  1. Calling the FastGPT HTTP interface returns 401 Unauthorized, and customer identities from the business system cannot be associated. The pre-verification rule based on business system tokens is not configured, and the business system's user ID is not passed in the interface request header or parameters.
  2. A Payload Too Large or maxLength exceeded error is triggered when importing marketing documents in batches. The total byte size of a single upload exceeds the interface limit, and UPLOAD_FILE_BATCH_LIMIT and the single-file parsing threshold are not adjusted.
  3. A 504 Gateway Timeout error is returned when pulling spot quote data in real time. The interface request timeout setting is too short, and it does not adapt to the time required to pull batch structured steel trade data.

How to Confirm Configurations Are Set Correctly

  • Send a batch import request for marketing documents, check the interface return status code and import results, confirm that the batch quantity matches the configured UPLOAD_FILE_BATCH_LIMIT.
  • Call the identity verification interface, pass the business system's user token and steel category parameters, check that sessions can be properly associated and corresponding marketing content is returned.
  • Send a single spot quote pull request, monitor the interface response duration, confirm that it does not exceed the configured API_REQUEST_TIMEOUT.
  • Check interface logs, confirm that all fields with units have passed validation, and no format errors have occurred.

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.