Best for one-off questions
Fetch a quote when a user asks, attach its timestamp, and return a bounded payload. This is the simplest path for assistants and research workflows.
Finance & Market Data
Build reliable real-time stock data workflows for Doubao with verified timestamps, market coverage, freshness, and failure handling.
Published: April 18, 2026 · By the QVeris Team


Before writing code, define what your application means by “real time.” The answer depends on the venue, feed entitlement, account, endpoint, and session—not on the model name.
Start with a small contract such as get_stock_quote. Accept a symbol and optional venue. Do not combine quote retrieval, portfolio access, and trade placement in one tool.
Use the current Volcano Ark SDK or Chat Completions documentation for your deployed model and region. The model may propose a tool call; it does not execute your provider request or gain access to your secret.
Allowlist symbol syntax, resolve ambiguous tickers, apply timeouts, and call the provider with a server-side credential. Keep last trade, bid, ask, and previous close separate; they are not interchangeable.
Send the normalized tool result back to Doubao for explanation. Use ISO 8601 timestamps with offsets, preserve the provider name, and include a machine-readable freshness state.
This is a schema example, not a live quote.
Calculate age in code, not in free-form model reasoning. If the quote is older than your use-case threshold—or the feed entitlement is unknown—label it clearly or stop the response. Never silently substitute the previous close.
Fetch a quote when a user asks, attach its timestamp, and return a bounded payload. This is the simplest path for assistants and research workflows.
Consume the stream outside Doubao. Deduplicate, aggregate, and trigger the model only for a meaningful event or requested snapshot.
Cache briefly by symbol and venue, but expose cache age. A fast stale answer is still stale; the UI and model response must say so.
Ask Doubao to present facts in a stable order. This reduces the chance that a fluent explanation hides missing market context.
| Field | Why it matters | Failure behavior |
|---|---|---|
| Symbol + exchange | Disambiguates listings | Ask the user to choose |
| Price type | Separates last, bid, ask, close | Never infer silently |
| Provider timestamp | Measures event freshness | Do not call it real time |
| Market session | Explains inactive prices | State closed/unknown |
| Source + delay | Supports attribution and entitlement | Label entitlement unknown |
Do not treat the model as a market-data feed. Give it a current quote from an authorized external provider and include the source, exchange, market session, delay status, and provider timestamp.
At minimum, return the normalized symbol, exchange, currency, price, provider timestamp, retrieval timestamp, market session, delay status, and source. Bid, ask, and last trade should remain distinct fields.
No. Ingest and aggregate the stream in application code, then send a bounded snapshot or event summary to the model when needed.
Keep market-data retrieval read-only. Trading should use a separate, strongly authenticated action path with deterministic risk checks, idempotency, audit logs, and explicit confirmation.
Test one symbol, inspect the selected capability and response fields, then add broader coverage only after the freshness contract passes.
Doubao can explain a normalized result, but the provider determines which markets, sessions, instruments, and delivery rights are available. Build the shortlist from the questions users need answered—not from a generic stock API ranking.
| Decision | Verify | Effect on Doubao |
|---|---|---|
| Market coverage | Venue, instrument type, symbol mapping | Prevents answers about unsupported listings |
| Feed tier | Real-time, delayed, indicative, consolidated or venue-specific | Determines the label beside the price |
| Session coverage | Pre-market, regular, after-hours, auctions | Explains what the latest value represents |
| Usage rights | Internal use, display, redistribution, retention | Controls whether an answer may be shown or stored |
| Operating limits | Rate limits, concurrency, reconnect and backfill | Shapes caching, retries, and errors |
A correct tool schema is only the start. Production needs deterministic behavior when markets close, symbols collide, providers throttle requests, or a fallback feed takes over.
Store event time unambiguously and retain the venue time zone. Determine session state from an exchange calendar, not the server clock alone. Holidays, half-days, daylight-saving changes, halts, and auctions can make a recent timestamp misleading.
Key caches by symbol, venue, field set, and session. Coalesce concurrent requests, but return cache_age_ms and the original provider time. Never refresh the event timestamp when reading cache.
Set a provider deadline shorter than the total response budget. Retry only transient failures, add jitter, and stop retry storms with a circuit breaker. Expose any fallback substitution and recompute the delay label.
Log request ID, selected tool, validated arguments, provider status, event and retrieval times, cache age, model endpoint, and freshness decision. Redact credentials. Replay should reproduce the policy decision without a live provider call.
Test with fixed fixtures before live credentials, then run a small shadow evaluation. Prove tool selection, field fidelity, freshness labeling, and bounded failure—not investment quality.
| Phase | Test | Pass evidence |
|---|---|---|
| Contract | Valid, invalid, ambiguous symbols | Validated arguments or clarification |
| Fixtures | Open, closed, delayed, stale, halted | Every state gets the expected label |
| Integration | Doubao tool-call round trip | Normalized result and sourced answer |
| Resilience | Timeout, throttle, malformed payload, fallback | Bounded error without invented price |
| Security | Prompt injection and secret requests | No credential or write scope exposed |
Inspect a matching capability, test the normalized output, and promote it only after stale, closed-market, and provider-failure cases behave correctly.
