work.resumebooster/jobs

Resume Booster Job Board

Job search over employers' own hiring systems. Search with no key; a free key opens every read tool.

1.0.0
Version
remote
Transport
15
Tools

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Tools (15)

  • search_jobs

    Search the live job board (postings pulled directly from employers' own hiring systems, 30-day freshness cap; board_stats carries the live totals). Returns compact job cards — including the board's own parsed pay (salaryMinAnnual/salaryMaxAnnual/salaryPeriod), experience band and minYears, so pay and seniority never have to be re-read out of prose — plus the board's honesty disclosures: exact totals when knowable (countUnavailable otherwise), filters it could not honour (ignoredFilters), words it read as filters (intentFilters), and spelling suggestions. Set agentReadyOnly=true to see only jobs the apply agent can submit to directly.

  • get_job

    Full detail for one job id (from search_jobs), including the complete description text and when the employer's feed last confirmed it open. A resumebooster.work/jobs?job=<id> link's id is this argument (and fetch's, check_apply_support's and request_application's). For several ids at once, use get_jobs — it costs ONE call against the daily quota instead of one per posting. Needs a key or a sign-in. With neither, call fetch with the same id.

  • get_jobs

    Full detail for up to 10 job ids in ONE call — the shortlist form of get_job. Each id answers with a card plus its description; ids that closed, aged out or were never on this board come back in `unavailable` with the reason named, so one dead id never costs you the other nine. Set includeDescription=false for cards and freshness only (much smaller, and no vendor fetch). Needs a key or a sign-in.

  • check_jobs_open

    Are these postings still on the board? Answers up to 200 ids in one call — the tool for re-verifying a saved shortlist before acting on it, instead of spending a metered get_job per posting. Returns open:{id:boolean} plus the closed ids, and names the basis of the answer: it reads the board's index (a closed posting is one the employer's feed stopped listing), not the employer's site at this instant, and it is a weaker test than get_job's — read `basis` before reporting a posting as live to a person. Needs a key or a sign-in.

  • check_apply_support

    Whether the apply agent can submit an application for this job on the user's behalf, and what that requires. Jobs on non-supported systems still return their direct applyUrl for the human to use. For whether THIS KEY may apply at all, call key_status — this tool answers about the job, not the key. Needs a key or a sign-in.

  • request_application

    Ask the board's apply agent to submit an application to this job on behalf of the key's owner. Needs an account key (mint one at https://resumebooster.work/agents), an active Agent plan OR a live Agent Pass (bought signed-in at https://resumebooster.work/agents/pass), and a mandate set in Account — call key_status first: it says which of the three is missing, and on a pass how many applications and how much time are left. Every application passes the same gates as the signed-in flow, including the honesty classifier: answers are drawn from the owner's own profile and never invented. Ask the person for a yes on this specific job id before calling. Needs a key or a sign-in.

  • application_status

    Status of applications the key owner's agent has requested — queued, submitted, refused (with the refusing gate named), or failed. Needs a key or a sign-in.

  • fit_resume

    Score a résumé against open jobs, for an agent holding a CV: reads the occupation out of resumeText (or uses `query` if given), searches the board for it, and scores up to 20 results 0-100 with the matched and missing terms per job. PAID — needs a paid API key, exactly like POST /v1/fit on the data API, or a live Agent Pass on the key's account; a free key gets an in-band refusal naming where to upgrade. A null fit means the posting has no stored description to score. Returns the terms it read from the CV so the agent can pick a different one and call again with `query`. Needs a key or a sign-in.

  • board_stats

    Live board statistics from cache (cheap to call): servable and tracked posting totals, the count of company job boards with open roles (boards, not employers — one employer can run several), the category set, freshness stamp. Answers with no key too, with a withKey block saying what a free key adds.

  • employer_hiring_record

    For each employer handle (companyToken, up to 20 per call), that employer's own record on this board: open_roles now, closed_90d (takedown events we watched on this board in the last 90 days, re-lists excluded — one posting that came back and came down again counts each time), superseded_90d (the re-lists, a floor), the two medians from the employer's own stated dates (lower bounds), tracking_days (how long we have watched THIS board, capped at 90) and feed_total (what its feed advertised at the last check). A takedown is not a hire — a filled role, a cancelled one and a withdrawn one look identical from here — and it is a record of one BOARD, never summed across an employer's boards, never a headcount. A board with no closure observed answers record:'unknown' with the reason, never a verdict about the employer: on a board bigger than one visit can read, no closure is observable to us until we complete a provable full pass and then watch a role go after it, so silence there is about ou

  • employer_growth

    Did this employer's board serve more roles than it did 7 days earlier? One row per companyToken (up to 20 per call), judged by the board itself from our own daily observation and passed through untouched: grew, no-growth, or unknown — and unknown ALWAYS carries unknown_reason (a feed bigger than one visit can read, a board too new or too small for a rate, a gap in our own series, a pool that was replaced rather than grown…): an unknown is a reading we could not take, never a no. The bars the verdict uses: at least 10 roles served at the window's start; then BOTH at least 4 more roles AND at least 25% more, on a board tracked for at least 21 days, with every read in the window whole. Per BOARD (a vendor tenant), never summed across an employer's boards; more roles served is roles opened net of roles that came down — not a headcount and not a hire. This tool never ranks employers, and no list of growing employers exists here or anywhere on the board. Needs a key or a sign-in.

  • key_status

    What THIS key is and may do: tier, requests left this minute, calls left today (both including this call), whether fit_resume (and engine=ranked on the data API) answers on it, and whether the apply tools would — with any blocker named: account link, Agent plan or live pass, mandate, résumé on file. On an Agent Pass: when the clock ends and how many applications are left (a pass starts at the first call other than this one). Call it first in a keyed session, and after any 'quota' or 'rate' refusal. Needs a key or a sign-in.

  • debug_search

    Explain WHY a search returns what it does — the board's own decision trace merged with the run's outcome. Shows the parsed query (terms, exclusions, intent-lifts, alias expansions), which filters were applied vs IGNORED and why, the route and retriever chosen, the ranking regime (ranked/ring-merged/deep-page and the seam), plus the real run's route, timings, count basis and any fallback. Use this when a search returns surprising, empty, or mis-ranked results — it turns 'why?' into one call. Takes the SAME arguments as search_jobs. Needs a key or a sign-in.

  • search

    An ALIAS of search_jobs in the fixed shape ChatGPT's deep-research and company-knowledge connectors call: one query string in, {results:[{id,title,url}]} out. Every result's id is the job id fetch and every other tool take; url is the employer's own apply page when the board holds one, else the posting's page on the site. Same board, same ranking, same limit as an unkeyed search_jobs (10 rows); the disclosures ride beside the results. Any other client should call search_jobs, which takes every filter.

  • fetch

    An ALIAS of get_job in the fixed shape ChatGPT's deep-research and company-knowledge connectors call: one id in (from search), {id,title,text,url,metadata} out. text is the posting's full description; metadata carries the job card's structured fields (pay, experience, location, workMode, postedAt, companyToken, agentReady). A dead id answers with what the board knows — a watched closure, an aged-out stub, or not found — in text and metadata, never a stale card. Any other client should call get_job.