Bing Search#

Overview#

The source API document is summarized in references/api.md. Read it when field behavior, allowed values, or response shape is unclear.

Workflow#

1. Identify the user's actual search query and map requirements to API fields:
   • q: search terms. Required.
   • json: output format. Default to 1 for JSON when the user does not specify an output format. Use 2 for JSON plus HTML, 3 for HTML.
   • location: named geographic search origin.
   • lat and lon: GPS search origin.
   • mkt: display language and market, such as zh-CN or en-US. Do not pass it unless the user asks for a market/language.
   • cc: two-letter country or region code, such as us, cn, jp, uk. Do not pass it unless the user asks for a country/region.
   • first: organic result offset. Default to 1 when the user does not specify it.
   • safeSearch: Off, Moderate, or Strict.
   • filters: advanced Bing filter string.
   • no_cache: true to bypass cache, false to use cache. Default to false when the user does not specify it.
2. Apply defaults only when the parameter description states a default. Current defaults from the API description are engine=bing, q=pizza, json=1, first=1, and no_cache=false. Do not treat body examples such as location=India, lat=1, lon=1, mkt=zh-cn, or cc=AR as defaults.
3. Prefer explicit user-provided field values over inferred values. If the user asks for a concrete search, replace the documented default q=pizza with the user's actual query.

bash

python3 scripts/bing_search.py --prompt "<user request>" --show-params

1. Use the bundled Python script with python3. Pass the whole user request through --prompt and add explicit flags for any fields that should override automatic parsing.
2. Ensure authentication before a live call:
   • Read DATAIFY_API_TOKEN from the current environment.
   • The script adds a Bearer prefix when the token does not already include one.
3. Run a dry run when you need to inspect parsed payload JSON without calling the API:

bash

python3 scripts/bing_search.py --prompt "Search Bing for current OpenAI news, return JSON and HTML" --dry-run

bash

python3 scripts/bing_search.py --prompt "Search Bing for current OpenAI news, return JSON and HTML"

Script Usage#

The script supports automatic parsing plus explicit overrides:

bash

python3 scripts/bing_search.py \
  --prompt "Find current OpenAI news, return JSON and HTML" \
  --no-cache true

Useful flags:

• --q, --json, --location, --lat, --lon, --mkt, --cc, --first, --safeSearch, --filters, --no-cache
• --field key=value for any supported API field
• --url to override the fixed endpoint only when explicitly needed for debugging
• --body-format form|json, default form
• --dry-run to print the parsed payload and skip network/auth checks
• --show-params to print the complete pre-call parameter table and exit

Result presentation#

• Return a compact, user-facing result by default: the most relevant titles, links, and vertical-specific fields, plus a count or truncation note when useful.
• Do not expose transport details, fixed engine fields, task plumbing, or the full response envelope in the ordinary flow.
• Return raw JSON or HTML only when the user explicitly requests raw output.
• Preserve source links and distinguish missing fields from empty values; do not invent data.

Quick Start#

bash

python3 scripts/bing_search.py --prompt "<user request>" --show-params

Parameter interaction policy#

• For a clear, low-risk, read-only, and low-cost request, apply safe defaults and execute immediately. A short execution summary is optional; do not pause for confirmation.
• Ask only for a missing required input, a material ambiguity, a high-volume or multi-page scope, a media download, a choice that materially changes credit usage, an irreversible action, or an explicit user request to review parameters.
• When confirmation is required, show only user-facing values that affect the target, scope, output, or cost. Prefer one concise sentence; use a compact table only when three or more consequential values are easier to compare.
• Never show fixed fields, empty optional fields, unchanged defaults, credentials, or internal implementation parameters such as engine selectors, response-format flags, offsets, spider IDs, and file-name templates.
• Keep advanced filters hidden unless the user asks for them or they are needed to resolve ambiguity. Never substitute documentation example values for missing required user input.
• After returning results, offer relevant refinements instead of forcing all optional decisions before the first result.

Account CTA policy#

• Show a prominent Dataify account CTA only when the API token is missing, rejected/invalid, or the account has insufficient credits.
• For a missing token, offer https://dashboard.dataify.com/login?utm_source=skill and state: New accounts receive 50 free credits. Never ask the user to paste the token into chat.
• Detect the current operating system and shell. Show only the matching session-scoped setup command first ( export for macOS/Linux shells, $env: for Windows PowerShell, or set for Windows Command Prompt). Show other platforms or persistent setup only when detection is ambiguous or the user asks.
• After the user says the token is configured, verify only whether DATAIFY_API_TOKEN is present; never print its value. If verification succeeds, continue the original task without asking the user to repeat it.
• Explain that persistent shell changes may require a new terminal or restarting the agent application. Do not recommend a project .env unless the execution path explicitly loads it, and ensure .env is ignored by version control.
• For an invalid token, direct the user to API-key management without implying that a new registration is required. For insufficient credits, direct the user to balance or recharge management.
• During normal submission, processing, and successful completion, do not promote registration or the Dashboard. Never expose the token or include it in CTA attribution parameters.