Data and AI releases

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Moderation Responses Now Include Reasons

UpdateNot yet verified

When a request or result is moderated, the polling response's details field now includes a Moderation Reasons array naming the categories that triggered the filter (for example Violence or Sexual Content ). Use it to adjust the request or surface a message to your users.

Read on docs.bfl.ml

Also shipped Jun 15, 2026Black Forest Labs in June 2026 →

Dashboard Search for APIs Now in Beta

__Dashboard Search for APIs is now available in Public Beta!__ Find your API faster without scrolling through paginated lists. Dashboard users can now __search APIs in real time by ID, identifier or name.__ Rolling out progressively to Public Cloud tenants starting this week, with broader availability in the coming weeks.

Beta
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API Deprecation Notice

API Deprecation Notice We retired a few legacy items from the Exa API: /research endpoint : replaced by /search with type: "deep-reasoning" . resolvedSearchType and highlightScores (response fields) : returned null from April 15, removed May 1. startCrawlDate / endCrawlDate (deprecated request parameters) : silently ignored from April 15.

Deprecation
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More from FLUX APIEvery FLUX API release →

Key Features

- mode: "fast" , Significantly faster extension, well-suited for landscapes, backgrounds, textures, and products. Typically lower cost. mode: "high" (default) , Unchanged highest-fidelity path; recommended when fine detail, prompt adherence, or consistency with complex source content matters.

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Endpoint

POST /v1/flux-tools/outpainting-v1 See Choosing a mode in the FLUX Outpainting documentation.

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Key Features

- Faithful restoration , Reconstructs fine detail while preserving character identity, colors, objects, lighting, and composition No prompt required , Send the image; the model sharpens the whole frame automatically Up to 4MP input , As base64 or an image URL Built for volume , Low-latency and low-cost, suited to interactive and high-throughput workflows

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Endpoint

POST /v1/flux-tools/deblur-v1 Get started in the FLUX Deblur documentation .

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Key Features

- Flexible references , Single garments, multi-garment outfits, and model-to-model references Packshot or on-model , Accepts both flat-lay garment images and on-model imagery Low latency , Optimized for fitting rooms, social filters, and interactive experiences Up to 2MP input , Larger inputs auto-downscale to ~1MP

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