
api-docs.deepseek.com
October 18, 2026
7 min read
60/100
Summary
DeepSeek’s Search and Fetch APIs provide agents and retrieval-augmented generation applications with live web access through raw JSON endpoints at api.deepseek.com. Search uses DeepSeek’s in-house search engine to return structured results for queries, while Fetch retrieves one HTTP or HTTPS page and returns its title and content as Markdown. Both endpoints use bearer authentication with a DeepSeek API key. Search accepts queries from 1 to 128 Unicode characters and can return 1 to 50 results, with optional localization, the originating user question, and page content. Queries support site, language, exact-phrase, exclusion, and date operators. Results include relevance scores, snippets, model-oriented summaries, optional content, publication dates, and authority tiers. A rerank score of 1.5 or higher is considered high quality, while authority tiers of 3 or above indicate highly authoritative sources. Search and Fetch cost $0.75 per 1,000 successful requests. Search is billed only for non-empty results, and Fetch only when page content is returned. Server-side calls through DeepSeek Harness, Claude Code, or Codex are free until per-request billing begins at 00:00 Beijing time on November 1, 2026. Each API has a separate account-level limit of 5 requests per second; Fetch also has per-domain limits.
Key Takeaways
What the discussion said
The thread treated this less as a consumer search launch than as plumbing for AI agents: can a cheap hosted search-and-fetch layer give models current, usable web context without every developer maintaining a scraping operation? The $0.75-per-thousand price drew real excitement because it undercuts familiar API prices by a wide margin and could make retrieval-augmented agents cheaper to deploy. Several readers also saw DeepSeek Flash as unusually capable for guided work, with search as a meaningful differentiator even if it is not the best tool for autonomous full-app generation. The optimism was tempered by hard operational questions. Self-hosted metasearch sounds free, but commenters argued it degrades quickly under rate limits, CAPTCHAs, anti-bot defenses, and shifting upstream access; enterprises pay for predictable latency, privacy handling, and stable results. Yet cheap pricing alone does not establish quality: premium semantic retrieval and specialized indexes may deliver cleaner, richer context, while DeepSeek’s actual coverage, freshness, fetch behavior, and anti-bot handling remain unclear. Some also objected that AI fetch services can extract and repackage publishers’ work without compensating creators. The central mood is impressed by the price and potential, but waiting for evidence that the service is reliable enough to replace established search infrastructure.
Where opinion split
The sharp dispute is whether DeepSeek’s low price makes it a genuine replacement for premium search and retrieval APIs. Enthusiasts see agent-grade web access becoming a commodity, while skeptics argue that reliable coverage, anti-bot resilience, semantic signal quality, and enterprise guarantees are exactly what the higher-priced providers sell.
Community Sentiment
Positives
Concerns