Judgment at list scale, on the rows nobody wants to read.
hyreflow Agent is built by hyreflow and is one of the 52 tools hyreflow gives Claude, ChatGPT and other AI assistants. Through hyreflow, an AI agent can run 5 actions, all of which look something up. hyreflow Agent is billed by the tokens a run uses, from your hyreflow credit balance.
Sometimes the work is not a lookup, it is a decision repeated five hundred times. Is this company really in scope? What does this job ad actually want? Our own hosted model handles that row by row with nobody in the loop. You pay for what it reads and writes, not per call.
It runs in the middle of a pipeline, wherever a step needs judgment rather than a database.
With hyreflow connected, you ask for the outcome in plain language and the assistant runs hyreflow Agent for you. For example:
In a hyreflow run, hyreflow Agent is most often paired with TheirStack, hyreflow Native, SmartLead and Firecrawl.
the long company lists worth scoring rather than reading
raw job ads in, structured requirements out
personalisation at the scale volume sending needs
the pages the agent reasons over
Through hyreflow, an AI agent can run 5 hyreflow Agent actions, all of which look something up. hyreflow Agent is billed by the tokens a run uses, from your hyreflow credit balance.
| hyreflow Agent action | What it does | Cost through hyreflow |
|---|---|---|
| Decide | Looks something up | billed by tokens used |
| Infer | Looks something up | billed by tokens used |
| Research | Looks something up | billed by tokens used |
| List prompts | Looks something up | free |
| Get prompt | Looks something up | free |
One credit is priced on the pricing page. The full price list for every tool is in the pricing tables.
51 hyreflow skills call hyreflow Agent as part of the run. A skill is a whole pipeline your agent already knows, end to end.
use whenyou have years of placements in your database and no habit of asking those people who else is good
use whena role has to be filled fast and you want to start with the people who have raised a hand, without the open-to-work filter in LinkedIn Recruiter
use whenyou can point at one person and say more like this, faster than you can write the brief that describes them
use wheneveryone who already holds the title is out of budget or not moving, and the realistic hire is someone one level below
use whena role comes in and you want to know who you already have before you pay to source anyone new
use whenone database keeps handing you the same names and you suspect the rest of the market is sitting in the others
hyreflow ships a written playbook for hyreflow Agent, and the agent loads it before the first call. Auth, rate limits, what each call costs, which actions need your approval, and the mistakes worth avoiding. It is the difference between an agent that knows the tool and one that guesses at it.
HOW in lib/hyreflow_agent.py.
A hosted model you invoke to do model work on a row or a task, with three entry points:
infer(prompt, schema=…) — a plain model call, no tools. Classify, extract, score, write. Cheap.research(prompt, schema=…) — agentic: the model plus a toolbelt of hyreflow adapters in a
tool-calling loop, for open-ended research, signal extraction and synthesis.decide(state, questions) — the structured-decision model (System One): one shared state plus
typed questions (noul yes/no probability, choice pick from options, score position on an
ordered rubric) → calibrated answers, no prose. Built for bulk decision points — routing,
classification, screening — where a fast typed answer matters more than generated text. Powers the
/shortlist bulk screen.Pass a JSON schema to force structured output. {{placeholders}} in a prompt are filled from row data by
the caller, which is what makes this usable across a whole list.
research() may call)exa_search — neural/semantic web search: use it first, it has the best recall on an open-ended question.serper_search — Google SERP: for site:-scoped or exact-string lookups, and to fill gaps Exa leaves.firecrawl_scrape — scrape ONE known URL to markdown, only once you know the page.First-party, no BYOK — you never hold a model key. Billing is token-metered: you're charged on the
tokens the call actually consumes, so there's no flat per-call price. infer is materially cheaper than
research, which pays for both reasoning and the tool calls it makes.
Bulk qualification, personalization at list scale, and company/person research that needs judgment rather than a lookup. For one-off judgment inside a conversation, let Claude reason directly — this Native exists for the headless, per-row case.
Yes. hyreflow is a connector for Claude, ChatGPT and other AI assistants. Once hyreflow is connected, you ask for the outcome in plain language and the assistant calls hyreflow Agent for you. hyreflow exposes 5 hyreflow Agent actions this way.
No. hyreflow Agent is built by hyreflow, so there is nothing to connect beyond hyreflow itself.
hyreflow Agent is billed by the tokens a run uses, from your hyreflow credit balance.
Add the hyreflow MCP server to your assistant and sign in. hyreflow Agent is part of hyreflow, so it is available as soon as hyreflow is connected.
Connect hyreflow to Claude or ChatGPT and ask for the outcome. It reads the playbook above before it makes a single call.