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Can DeepSeek challenge OpenAI, Anthropic in AI agents as Harness adoption takes off?

Read the original at South China Morning Post ↗
Cite

Chang, M. (2026, November 9). Can DeepSeek challenge OpenAI, Anthropic in AI agents as Harness adoption takes off? South China Morning Post. https://www.scmp.com/tech/big-tech/article/3373757/can-deepseek-challenge-openai-anthropic-ai-agents-harness-adoption-takes

Dated from the outlet's own feed. Check the original for its byline.

South China Morning Post · collected 2026-11-09 · by Minxiao Chang

Quick Summary

DeepSeek, a start-up based in Hangzhou, is increasing its efforts to monetize its foundation models as its AI agent platform Harness gains popularity. As of November 4, users were consuming approximately 92 trillion tokens daily through DeepSeek’s official API, which equates to about 1.1 billion tokens per second. A "harness" refers to the software infrastructure that transforms large language models into autonomous AI agents capable of executing tasks for users beyond just responding to prompts.
Written by AI on 2026-11-09, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

As of November 4, DeepSeek, a Hangzhou-based start-up, reported that users were consuming around 92 trillion tokens daily through its Harness platform via the official application programming interface (API). This translates to approximately 1.1 billion tokens consumed per second. DeepSeek's Harness is an AI agent platform that transforms large language models into autonomous task-executing tools for users rather than just responding to prompts. The company is now intensifying efforts to monetize its foundation models as adoption of the Harness platform continues to grow, potentially challenging major players like OpenAI and Anthropic in the AI agent market.

Written for “DeepSeek Challenges OpenAI And Anthropic” on 2026-11-09, grounded in this article and the 0 other(s) covering the same event.
Why this leaning score
This article does not take a side on a contested political question, so it has no leaning score. That is an answer rather than a gap: a match report or a rescue can be warmly or critically written without being left or right, and scoring it anyway is how approval of a subject gets recorded as a political position.
No political leaning scored for article 137814 · logged 2026-11-09

Story

DeepSeek Challenges OpenAI And Anthropic
Technology · 1 article(s) covering the same event.

Compared with similar articles

This article reads unscored and hedges 0% of its claims. Each row says how that neighbour differs.
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Leans strongly left Hedges 5 of 30 claims Outlet record 65/100
“The articles discuss different aspects of the AI industry, with Article A focusing on market reactions to AI companies during a specific week, while Article B discusses a separate start-up's efforts in monetizing its technology.”
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Hedges 1 of 5 claims Outlet record 68/100
“The articles discuss different aspects of AI development and market trends, not a single specific incident.”
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
4
sentences that state something as happening or true
Uncertain
0%
0 of 4 hedged ("reportedly", "may", "according to")
Leaning
not political
takes no side on a contested political question
Publisher signals
62/100
South China Morning Post's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
1
Technology
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-11-09 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

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Running correction rate · 8 correction(s)
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Who wrote this

Minxiao Chang
15 article(s) here · 0 carrying a prediction
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2026-09-29 · assertive framing · AMD acquires ‘godmother of AI’ Li Fei-Fei’s start-up as battle with Nvidia intensifies
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Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 15 articles by Minxiao Chang →

Topics

DeepSeek Hangzhou Harness

Subjects

Hangzhou GPE · 2× DeepSeek ORG · 1×

Narrative

Hangzhou-based start-up ramps up efforts to monetise its powerful foundation models as AI agent platform gains traction Users of Harness through the company’s official application programming interface were consuming around 92 trillion tokens a day as of November 4, the Hangzhou-based start-up said.
framing: assertive · carried by 1 article(s) · first seen 2026-11-09
2026-11-09 · South China Morning Post
Can DeepSeek challenge OpenAI, Anthropic in AI agents as Harness adoption takes off? · assertive framing

Claims (4 extracted, 0 hedged)

Can DeepSeek challenge OpenAI, Anthropic in AI agents as Harness adoption takes off? asserted
adoption → challenge → agents
Hangzhou-based start-up ramps up efforts to monetise its powerful foundation models as AI agent platform gains traction Users of Harness through the company’s official application programming interface were consuming around 92 trillion tokens a day as of November 4, the Hangzhou-based start-up said. asserted
up → base → November
That is equivalent to about 1.1 billion tokens consumed per second. asserted
That → consume → second
A “harness” is the software infrastructure that turns a large language model into an AI agent that can autonomously execute tasks on behalf of users, rather than simply respond to prompts. asserted
that → turn → prompts
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