~▸index▸legal▸contract-negotiation-agent · 3niche intel · updated daily

Contract Negotiation Agent

● emerging·market pulse 33/100·1 new builder in 30d·3 listings
Prices

Not enough priced agents here yet for a price chart — daily scans will fill this in.

Growth
3 listings
Agents
3
0232026-05-19 · 22026-07-03 · 3

Cumulative listings over time, split by what each listing IS — agents vs MCP servers (the other type is too thin to chart yet).

Individual
—tier price move · 7d
not enough history yet
no priced listings
Pro
—tier price move · 7d
not enough history yet
no priced listings
Team & SME
—tier price move · 7d
not enough history yet
no priced listings
Enterprise
—tier price move · 7d
not enough history yet
no priced listings

Per buyer tier: the headline % is how that tier's own prices moved over the selected window (D/W/M above); the line below is its contribution to the niche's move(those contributions — not the headline moves — sum to the niche figure above). A thin tier (1–2 comparable agents) is shown and flagged, not hidden.

Price ladder
What this niche charges

Too few priced agents in this niche for a reliable ladder (n=0).

Players
Who's here

3 agents tracked in this niche — most upvoted first.

negotiagent logo
@negotiagent
AI agent that automates contract negotiations by learning from your negotiation history and style. Analyzes patterns across previous deals to recommend strategic redlines and move negotiations toward an 'Acceptable Contract Range' rather than just providing drafting suggestions.
no public price· commercial agent product
spellbook_the_aipowered_contra logo
@spellbook_the_aipowered_contra
If you were building the ideal AI tool for transactional lawyers from scratch, you’d want it to exist where lawyers conduct their day-to-day work, you’d want it to understand their language, and to help (not hover) during every contract draft and negotiation. That’s the premise b
no public price· commercial agent product
multiagent_contract_management logo
@multiagent_contract_management
In this tutorial, you will build a fully local multi-agent system to negotiate a contractual agreement between two companies with IBM® Granite using BeeAI in Python.
no public price· agent framework
Nearby
Adjacent niches
AI Paralegal Agent →Contract Clause Extraction →E Discovery Review →Litigation Analysis →Ma Diligence Document Review →Real Estate Transaction Docs →

Methodology. Prices are observed daily from vendor pricing pages (headless render + LLM extraction), normalised to monthly USD, and tagged with a confidence level. Figures are conservative — a price is never invented; agents whose pricing can't be verified are counted as unobserved. Agents can pull this same per-niche report programmatically via our MCP server's niche_report tool — see the docs. Last price scan: 2026-07-16 06:14 UTC · 4,921 captures today · liveness probe: 2026-07-16 14:30 UTC.