AI Tool Profile

Claude API

The Claude API is Anthropic's REST API for programmatic access to Claude models, including messages, batch processing, token counting, tools, and managed-agent workflows.

Basic recordType not confirmedProfile source check: 2026-07-14

This record identifies a product; it does not establish a tested recommendation.

Kingy AI Product Facts

Claude API

Current statusUnknown

Company
Anthropic
Primary job
Not yet reviewed
Audience
Not yet reviewed
API
Available
Evidence
Source-backed; review due
Latest source check
October 20, 2026
See all tracked product factsPricing, platforms, dependencies, data claims, regions, and timeline

Sources and checks

Coverage
13 of 87 tracked fields currently verified
Sources
5

Source-check dates apply to the tracked facts. Editorial updates elsewhere on this page may have a different date.

Plans and pricing units

Not yet structured in this Kingy record.

Where it runs

Availability
Not yet reviewed

Developer access

Stack and integrations

Model / provider dependencies
Not yet reviewed
Integrations
Not yet reviewed

Data and regions

Vendor data-use claim
Not yet reviewed
Vendor retention claim
Not yet reviewed
Regions
Not yet reviewed

Launch and latest material update

Launch
Not yet reviewed
Latest material update
Not yet reviewed
Review history
  1. Claude API — Verification refreshed

    Kingy reconfirmed the published facts against the cited sources.

    View published revision
  2. Claude API — Verification refreshed

    Kingy reconfirmed the published facts against the cited sources.

    View published revision
  3. Claude API — Correction published

    Kingy published an approved correction to this Product Facts record.

    View published revision
  4. Claude API — Product Facts updated

    Kingy published an approved Product Facts update.

    View published revision
  5. Claude API — Product Facts updated

    Kingy published an approved Product Facts update.

    View published revision
  6. Claude API — Product Facts updated

    Kingy published an approved Product Facts update.

    View published revision
  7. Claude API — Product Facts updated

    Kingy published an approved change to this Product Facts record.

    View published revision
Technical evidence and revision history
Embed “Facts tracked by Kingy”

This label is not a security certification, audit, or product endorsement. It reports the facts Kingy currently supports and when they were last checked.

What It Does

The Claude API is Anthropic's REST API for programmatic access to Claude models, including messages, batch processing, token counting, tools, and managed-agent workflows.

Launch History

AI Developer Tools

Claude cache diagnostics GA

Claude cache diagnostics reach general availability; the beta header is no longer required. Access: Beta header no longer required.

Source-verified Free: Unknown API: Yes Open: Unknown
Developer-friendly

Claude cache diagnostics no longer require the beta header. Update integrations and inspect diagnostics against real request patterns.

AI Agents

Anthropic retired Claude Opus 4.1 on August 5, 2026

Anthropic announced the retirement of claude-opus-4-1-20250805 on the Claude API for August 5, 2026 and recommends claude-opus-4-8. Anthropic notes that partner-platform schedules can differ from its operated API…

Source-verified Free: No API: Yes Open: No
Developer-friendly

Anthropic confirms that claude-opus-4-1-20250805 retired on August 5, 2026 and Claude API requests return an error. Its retirement release note recommends Claude Opus 5,…

AI Developer Tools

Anthropic removes non-default sampling controls starting with Claude Opus 4.7

With the April 16 launch of Claude Opus 4.7, Anthropic introduced a breaking API change: requests setting non-default temperature, top_p, or top_k values return HTTP 400. Anthropic recommends…

Source-verified Free: Yes API: Yes Open: No
Developer-friendly

Starting with the April 16, 2026 launch of Claude Opus 4.7, non-default temperature, top_p, and top_k values return HTTP 400; Anthropic recommends omitting them…

AI Infrastructure

Introducing web search on the Anthropic API

Anthropic introduced web search on the API so developers can build Claude applications that retrieve and cite current web information.

Recheck due Free: No API: Yes Open: No
Business-friendlyDeveloper-friendlyTraction signal
Launch readiness
7.3 / 10
Demo evidence
Not scored yet
Creator-story fit
Not scored yet
Score definitions and rubric

These are launch-record readiness heuristics, not product ratings.

Launch readiness

How complete and reviewable the launch record is, not the quality of the product.

Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.

Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.

Demo evidence

Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.

Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.

Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.

Creator-story fit

Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.

Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.

Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.

Scale
0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
Assigned by
Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
Rubric and check date
Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-06-08.
Confidence and missing data
Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
Freshness
Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
Disputes
Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.

Anthropic introduced web search on the Claude API, letting developers build applications that retrieve and cite current web information as a first-party tool, priced…

AI Browser Agents

Computer use, upgraded Claude 3.5 Sonnet, and Claude 3.5 Haiku

Anthropic introduced computer use in public beta alongside an upgraded Claude 3.5 Sonnet and the new Claude 3.5 Haiku model.

Recheck due Free: No API: Yes Open: No
Business-friendlyDeveloper-friendlyTraction signal
Launch readiness
7.8 / 10
Demo evidence
Not scored yet
Creator-story fit
Not scored yet
Score definitions and rubric

These are launch-record readiness heuristics, not product ratings.

Launch readiness

How complete and reviewable the launch record is, not the quality of the product.

Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.

Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.

Demo evidence

Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.

Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.

Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.

Creator-story fit

Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.

Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.

Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.

Scale
0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
Assigned by
Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
Rubric and check date
Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-06-08.
Confidence and missing data
Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
Freshness
Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
Disputes
Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.

Anthropic introduced computer use in public beta — Claude operating graphical interfaces and desktop-style tasks — alongside an upgraded Claude 3.5 Sonnet and the…

Kingy coverage

Kingy AI articles about Claude API, newest first.

  1. BlogGPT-6 Astra vs Claude Sonnet 5.5: Is Astra Worth 5× the API Token Price?
  2. BlogQwen 3.8 Max API Guide: Claude Code, Codex, OpenCode and More
  3. BlogBest AI Model API in 2026: A Use-Case and Routing Guide
  4. NewsClaude Gets a Security Glow-Up: Anthropic’s Compliance API Pulls Enterprise AI Into the Big-Kid Control Room
  5. NewsClaude Pricing (2026): Plans, API Rates & Usage Billing
  6. NewsAnthropic Academy’s New Claude Courses (2026): The Web Developer’s Guide to Claude 101, AI Fluency, Claude Code, MCP, and the Claude API