Subject: The You Report: NEW Eval harness, Research API controls, auto top-up
From: "You.com Product Team" <[email-masked]>
To: [email-masked]
Date: Wed, 06 May 2026 18:47:31 +0000

Benchmark any search API, structure outputs, and avoid
credit-related downtime     Welcome to this month’s newsletter!
Here’s what’s new this month: Research API controls
(source_control, output_schema), an open-source eval harness, and
auto top-up to prevent credit-related downtime.

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Product Releases
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Research API: More control over retrieval and outputs
-----------------------------------------------------

We added two new parameters to the Research API:

* source_control: Restrict where the agent retrieves from (e.g.,
domains, etc.)
* output_schema: Enforce structured outputs for downstream
systems
The You.com Research API has 83.67% accuracy and 93.16% F1 on
DeepSearch QA, powered by a single-agent architecture that scales
to 1,000 reasoning turns and 10 million tokens per query.

→ Docs 
( https://clicks.you.com/f/a/8hmSRkDCI_v0aJwgYZZabQ~~/AAQRxRA~/tN9pFswxT3UIt9o7H2nLELMitJxBFQLVVb_IaZlkggi_bOVTPcOOV737270iXRv5nyaA0E6KhoSaC_0Vko5ohHobf3bJogDo_qYdgEy-JjsjR6t-4yqjB1cnlKaO330CypEHsBr6uJ6L6lxO_X0jmQ_yxnfieGWGqsJVBTb-eCCAakNtfjSRW7j2NLeyX9NVOmDtXEbuCEXavT0QkGCxG_uMyuEgYUEtWaR8rklRAvCQpyReG0Y4Jql9-gnaIlqp8OwVSxqXx9pqhmZGwn8VdGlS7hWGsf2AcizC2jVhGg6UfzzbOTBkPDSmZ24gRQBXuLt9jI6ci60A02g7wON2AA~~ )

→ Read the Blog 
( https://clicks.you.com/f/a/qsGSuxDUBOwwAGTg5lmAXQ~~/AAQRxRA~/YSwVWqMwmNyRlE2NIFweuBh0QmyLLrIszOroDpH_49WBOE0LDVBX9JRAXgbmZbhSW3mSePZvGNs30dtJ4e6WcvCQWbHybx3ZtxxmQU9HlrgOP4QwjdpTYqMKl2sMzzYpOB_6RF4cyFv0kUe1-WNN7gKuWJg73bH4ByQQZHQn_q-kuLM2atPUVbWCdox_LodxJphmz09by46c7RIc8b65HWZ4wQ9R1JEj41KlkQvMFoOs6Eh-TiZahjtACz8JMVYi0cJ9E6MKZGcyH0mio0BmnRH_xJvqqz0t0MgiM3P7wjIMMQ9i81PCfy7ZJ7i1o7fSA9Wy1DuvgiCmBxpXTs5PALRc4heahfnAb4_g9t7qrAQ~ )

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Open-source eval framework (benchmark any search API)
-----------------------------------------------------

Teams often spend weeks setting up evals, only to find their
implementation doesn’t match how benchmarks are actually scored.
Others rely on vendor-reported results that can be hard to
validate.

We open-sourced our internal eval harness so you can run
standardized benchmarks yourself.

* Supports: SimpleQA, FRAMES, BrowseComp, DeepSearchQA
* Produces comparable results across providers
* Easy to extend with your own evals
This is especially useful if you're validating vendors or
tuning retrieval for agents.

→ Learn more 
( https://clicks.you.com/f/a/GASMi1xu1gaCAg7s0ZaZFQ~~/AAQRxRA~/YSwVWqMwmNyRlE2NIFweuBh0QmyLLrIszOroDpH_49W9xnMB_Nchu9RXp1PNpHras8dh0NW4RdfGbQo_z_PXHa0HEgnM2tY0E8nIF8_BBNnju_CAip6mqgkXNs38K6RDCRF28Wnq_hVYjv50cuSQfelkbYBURMiGsxN9kUA8desbf7fjVxVyDahtXOddMHdDrvMpVabRR1jKy3FZqg3-MxQSQPiEa2nBL05hDN_tb-KtOdsecriFbkXcNAMSRjpp0pQLQtNey-CzykfFmHLmdJPCsCRKh9Bois5hzCEQj7vjvgS5RHyzZu-1LV0XjMmx8wCVEOC5zLkZiHCjcq-fLv605FDCDnlw780ppFP4p1s~ )

→ GitHub repo 
( https://clicks.you.com/f/a/u97PKLSrSmCbV_DPlXHS5w~~/AAQRxRA~/2ldcsTPoXEnT4QWpf8u89n7EDF-JxaVEooGTduwm4kflRWp3Li04FI0pkz-s5TVnTKk_acfWayjPKSvLdzepW5ayGbOkjE253xQ8OWpDP4ekNif8WbrM0KYXCwTErJYSmFr_OKLu-lDFZm0ZZDXqZw~~ )

------------------------------
Auto top-up & billing APIs
------------------------------

Avoid production failures when credits run out. We’ve added
Auto top-up, which eliminates hard stops.

Usage & billing APIs let you:

* track spend programmatically
* trigger alerts
* integrate into internal dashboards

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New Integrations
****************

-------------------------------
LangChain (langchain-community)
-------------------------------

Call the Research API directly from LangChain agents (alongside
Search and Content APIs).

-------------------
Hugging Face Spaces
-------------------

Fork a working Gradio app and run a You.com-powered demo with
your API key: https://clicks.you.com/f/a/_sFPXJS1hFXb40VEQpxM7g~~/AAQRxRA~/Cf_1S7sSz44DbCcPfgAllN-xaw2lTC9BDSUCGHxQV6qTOkho9zpDZkdwxOV23HmMJhpj7N-mdHda6BRv_hGAdzGnLCpRbDbSMhVFqk8nXXO8yKrWryDOBMAwIUsp70QZ

**************************
ICYMI: The Latest Insights
**************************

-----
Evals
-----

* The You.com Web Search Eval Harness: Benchmark Any Web Search
Provider Yourself. 
( https://clicks.you.com/f/a/GASMi1xu1gaCAg7s0ZaZFQ~~/AAQRxRA~/YSwVWqMwmNyRlE2NIFweuBh0QmyLLrIszOroDpH_49W9xnMB_Nchu9RXp1PNpHras8dh0NW4RdfGbQo_z_PXHa0HEgnM2tY0E8nIF8_BBNnju_CAip6mqgkXNs38K6RDCRF28Wnq_hVYjv50cuSQfelkbYBURMiGsxN9kUA8desbf7fjVxVyDahtXOddMHdDrvMpVabRR1jKy3FZqg3-MxQSQPiEa2nBL05hDN_tb-KtOdsecriFbkXcNAMSRjpp0pQLQtNey-CzykfFmHLmdJPCsCRKh9Bois5hzCEQj7vjvgS5RHyzZu-1LV0XjMmx8wCVEOC5zLkZiHCjcq-fLv605FDCDnlw780ppFP4p1s~ )
 Eddy Nassif, Senior Applied Scientist, introduces the new
open-source evaluation framework that runs four popular
benchmarks, providing a reliable starting point for evaluating
Web Search API vendors.
* Extreme Single-Agent Inference Scaling for Agentic Search:
Achieving SOTA on DeepSearchQA 
( https://clicks.you.com/f/a/2iGGRbhD6buS3bWkDc1vDA~~/AAQRxRA~/YSwVWqMwmNyRlE2NIFweuBh0QmyLLrIszOroDpH_49U-_Uy9YpuYMoSUwNsR8ILC73a4971SIoh6xswbP7erIOkKUmyzY3Qd5nVeQEQsp-uxTZJgDl0KYHJdhmmsuRrQW_OaRWVQtSs22A2n9XBwwmv_oG2HewvWzLmfLcksWZgjCcrOAkAck-DJ03j6GThYI-oC1u0fm5PW877KdkE5QxtB1afvmowaDX6vwnsifzD0ORjxKA0_Nqlc-y3qwTTYSiGS4NztIvPs7jMb6s-dQyPublMjs7BHdDzqL48f55_AfHbQN6mllnhmPZHexPXITswj7QXty5C-2owyYr1IfxQ5CJb-kIbCWr0nzs-OxVM~ )
. Abel Lim, Senior Research Engineer, explains how You.com’s
single-agent, budget-aware harness for agentic search scales
inference to 10M tokens and 1,000 turns, achieving
state-of-the-art results on the DeepSearchQA benchmark.
* Best Web Search APIs for AI Agents: What to Test Before You
Commit. 
( https://clicks.you.com/f/a/dF3DEQFPOH6XdzRiCu_Qeg~~/AAQRxRA~/bR1iIk6_vL4K_kwR4IuCQyRok4AF8Q-ifx2yH6Z1ddWvRBVIvt3U5pFV2LStYRw4yB5K34VTu9vxVFWKEZoHHMcGEcwzLtnPciGuveWMQhJCvvx-_gnrY4F1hAY0gx1gGHiVuJoRfACXSBN-oXeYK-WgIyV2nD7x_gwmKOzjRvzuMu1DGJVdcAKzOhAoL9477AGzqTiPRynYFotwCOlVek4LEJceMnYpT4whEWfFKlHKDv-tnPeVS8SkLhgYkqXR6rnquJ4p_rHrry0MVNP8CM6QWx-WKG3VHG6cbrWOIRAIdJeAqiVUKRvFx--Gem01ewsdBIChRDSpsJD7N6fZxSw968KkF48tiI9JnT3NEmZ_8RHDzWsPbT84RDgouZpA )
 Brian Sparker, You.com Staff Product Manager, compares leading
web search APIs for AI agents and explains how to evaluate them,
so teams can choose the right search infrastructure for their
agent architectures.

--------------------------
Building with You.com APIs
--------------------------

* The AI Governance Problem: Why Web Search APIs Are the Missing
Layer. 
( https://clicks.you.com/f/a/2-GgJSr94AOIzVXC1oIoGw~~/AAQRxRA~/DzYpEApVdIfBAINzy2LGPFkirt38aQB4MOX5tC1Q6LrUdrnOC6BlJ2gltMt1ks-1mMqPjnm9AsZn6-hbdf4tYPeaWQQCHGMl_akZnIQ3z1AA3wgDiohivbR967RExagW_BW8_K-HOKDw7rAAWFSa3b2eEzVXhtcLHO3eRNGO5fXqJL0kYUTvkuWRZa_CnbHYWM16eL9xRs3iWzJoenWkcj7dQV7IsUxodR75WUuxnD840lCZQFVmNBDvBcw8zCkyWE2DUtTunf5R4l8tAC1uWbwN5TV7diaEqkqRwLMql7SzOS_K7bTQ67FSj_Ft3IeznmwEre7ArdIjGjqkiWAT0GcDCy7MTyl3undfHsOtGpTGMCO3R3kprtBpVkOdfsOWS54-a5sWnncYF-i7ECPSRw~~ )
Effective AI governance is fundamentally an infrastructure
problem. Web search APIs are the critical retrieval layer that
lets organizations control, trace, and ground AI systems in
real-time, in governed information.
* Get the Guide: Why API Latency Alone Is a Misleading Metric. 
( https://clicks.you.com/f/a/EtkYyC84TPaJGr6TCWv-7w~~/AAQRxRA~/bk52k8sUvXmtlMVplao7anSD1t-UVaR-_L-GByuEUm2XqP2kB-aNBoVi6XKb7_CZtqeZxW0hwgS1ucauatgcvkTi0PBSj2qIPsnNQZM3A0UcUI6tfWt0LcZaqq8AhCYbUar75LTLx40IhiImn7ym6g8c_uApSichyiB4C0_eTmuB0uZPGJoD9jcA6EyPs1AGS4m5_qIufHyiVOERGIAn5V9GQ5MMbYHL2puwYJWValGM6Sa1PnZjFTxkV38MAegdKUGI0UuOA3cy9uYu1YIEX3HzCRkAW0i9Eanvq2UboT_fh3yvk8xh4lB_--Myc5dBCIstkrHqFRKd4EB63yxWgXJRaswgzjQFNQ7I813bCqsGGl2hktsxNoiLpO9ivadwaM0BQSmwJrNbXBgI-EmPfQ~~ )
 Brooke Grief, Head of Content, explains why headline API
latency metrics are misleading for real-world decisions.
* Building a Recursive Agent-Improvement Pipeline. 
( https://clicks.you.com/f/a/gVw6ctP7cDWpm36QRIrgOw~~/AAQRxRA~/bk52k8sUvXmtlMVplao7anSD1t-UVaR-_L-GByuEUm2fC-u55bSJitG2JPdNGpe0UkdYY1wB1SwFmuXmMhwhTk4Ox99wnzjiiMB_e8zErdZJXbtRIj-JfdtLCpli_AsrObamWpyODcDhXDx90_uNUUr2x4MId6foi9b2LVUzp1yglw1cWxCFtZiakijBwLQHwkVB6_1keD_njkeozDa6Tf7CUz0Rj-h0oZMBD8cH6E5ot_fKcGrai5k2rjyuXQDSL7efC2xrYS-itOsjglMY0RD2FxigSavL3GybliTaeirwi6w3FiMjex9jQAA13RaEJJFmd9YxwWFQ--0JknkPMhT6TEv7VemLue7JW1r7F5YQczC1hCQBTHrEU5_r2aW5fXyuZgC2WviR-turPM8HwQ~~ )
 Patrick Donohoe, AI Engineer, describes how You.com built a
recursive improvement pipeline for its equity research agent, so
the agent can iteratively upgrade its own performance over time.

**************************
Suggestions & Feedback
**************************

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