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leads//upwork buyer intelligence · mcp · byo-compute

MCP-native, BYO-compute software with a proprietary buyer-intelligence layer, sold flat-monthly to technical agencies, with expensive generation on-demand.

$ point your own agent — Claude Code, Cursor, any MCP client — at a live layer: de-anonymized buyers, real contract-rate benchmarks, who won the jobs you lost.

$ your agent, your subscription. zero token markup. we sell the pipeline and the corpus, not the inference.

closed beta · flat monthly · byo-agent over MCP · no per-proposal fees

Every other Upwork tool resells you AI tokens. We sell the data — over MCP.

Metered credits turn a bidding tool into a taxi meter — you hesitate to use the thing you paid for. We took the opposite bet: connect your own agent over MCP, run it on your own subscription, and pay a flat monthly for the pipeline and the corpus — never a per-proposal fee.

Bring your own agent

Add one MCP URL to Claude Code, Cursor, or any MCP client. The agent runs on your subscription, at your cost — we never touch a token or mark one up. Heavy months are cheaper for you, not pricier.

Buyer intelligence they don't have

Hundreds of Upwork buyers de-anonymized into real dossiers — total spend, contract-rate reality, how they treat freelancers. Ask about the client behind a job before you write a word.

Answers over the corpus, not the corpus

Ask what React devs in the US actually charge, or which skills are heating up — computed live over a freelancer + job corpus you could never scrape yourself. You get the number, never the rows.

Know the buyer before you bid.

Upwork hides who the client is. We don't. Your agent asks — over MCP — and grounds the bid in the buyer's actual history and the market's real rates. You stop quoting blind and start quoting to reality.

  • Rate reality — what they actually pay, not the range they posted.
  • How they treat freelancers — praise and complaints from real contracts.
  • A skill × country rate benchmark, so you know where your floor even fits — and who won the jobs you lost, at what rate.
ExpensifySan Francisco, US(high confidence)$12.7M tracked spend · 164 contracts

A product team that hires short, fixed-price engineering tickets and repeatedly rehires a small group of contractors.

Almost everything is fixed-price ~$250 — don't assume hourly; quote each scope independently.

As a client

Rewards fast, spec-following delivery. Docks slow progress and missed deadlines.

Who fits

Frontend/mobile engineers who treat tasks like small tickets and accept fixed-price scopes.

How it works

Step 1 · Connect

Point your agent at your workspace

One MCP URL in Claude Code, Cursor, or Claude itself. Your missions, buyer intelligence, rate benchmarks and funnel become tools your own agent can call — on your subscription.

Step 2 · Surface

Fits, flagged automatically

Your missions watch the stream. A cheap pass scores every match against your rules and the buyer's history and flags the FITs — with the reasoning — so nothing worth bidding slips by, at no per-job cost.

Step 3 · Ask & draft

Your agent bids to reality, on demand

When you commit to a job, your agent reads the buyer, benchmarks the rate, and drafts in your identity's voice — grounded in real history, on your own compute. The expensive generation runs only when you say bid.

A brain you edit in plain language

Your rules, voices and hard-won learnings live as git-backed text — not buried settings. Tell your agent “be pickier about buyers under $10k” and it rewrites your filters over MCP and shows you the diff before anything commits. It gets more you every week.

Built for technical agencies

One workspace, many bidding identities — each with its own profile, voice and strategy. Route jobs to the right person, invite your team, each connecting their own agent. The corpus is shared; your funnel, your files and your buyer matches stay yours alone — hard-walled per tenant.

Bring your own agent. Start quoting to reality.

Closed beta for technical agencies. Sign in to join the list — we mint your MCP workspace as capacity frees up.

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