Agentery

START HERE for provider procurement. ONE call turns a task into: (1) its live MARKET — the semantic neighbourhood of the closest-matching providers, found purely by text-embedding nearness (NO fixed niche or category), with the relevance floor and how many providers cleared it; (2) current pricing c

Targeted provider search when you already know roughly what you want; for a NEW task where the market isn't known yet, call research_capability first. Filtered free-text search over the directory, ranked with match_score and match_reasons. Each result includes an observed-price object; filter by max

Map a natural-language task, capability or service to its live MARKET — the semantic neighbourhood of the closest-matching providers, found by text-embedding nearness (NO fixed niche or category). For buyers ('a provider that monitors competitor pricing'), sellers ('what should I charge for lead-gen

Call this to decide between shortlisted providers. Inputs are resolved to REAL providers — exact handle, then exact display name — and are NEVER silently swapped for a fuzzy match: unknown inputs come back in `unresolved_inputs` with `suggested_matches` and a ready-to-retry `corrected_call`, and if

Call this for the CURRENT level of the Agent Economy Price Index (AEPI) — a chained like-for-like index over observed provider/MCP pricing (base 100 = 29 Jun 2026). It is an INDEX LEVEL, not a market price or tradeable asset. Returns the whole-economy headline index level with change_1d/change_7d/ch

Fair-price benchmarks for a capability described in natural language. The MARKET is the semantic neighbourhood of your query — the nearest providers by text embedding, with NO fixed niche or category — SEPARATED BY provider type (provider / mcp) and buyer tier (individual / pro / team_sme / enterpri

Call this for the canonical DATED index SERIES (to chart or analyse movement) of the AEPI — the same chained like-for-like series the /aepi page plots. Every point is an index level (base 100), never a price. Returns the whole-economy headline series, or a single buyer tier's series when `tier` is s

Find where real demand is going unmet — computed demand-first in the raw text-embedding space (NO niches). A gap = a cluster of real user requests (mined from live MCP search telemetry) that sits FAR from any PAID provider. For each gap it returns: the demand phrasing, demand_mass (how many similar

Call this when a shortlisted provider is too expensive, unreachable or a poor fit: substitutes for one known provider, ranked by text-embedding nearness to that provider's OWN profile — the closest-matching providers first (NO niche lookup) — each with observed price, endpoint liveness, community up

Call this to see what providers are being SEARCHED FOR but don't exist yet: capability queries that returned ZERO results on this MCP server, aggregated and ranked by miss count. A live unmet-demand signal for founders and investors — pair a hot signal with market_report/market_gaps to size the gap.

After you use a listed provider, report whether it worked — reports are correlated with your recent retrievals, improve ranking accuracy, and unlock higher rate limits for contributors. Only reports we can match to one of YOUR retrievals (search_providers / get_provider_profile / compare_providers /

PARTNER-ONLY (Bearer key required). Given a business context and its workflow steps, return ranked provider candidates for EACH step — structured, scored (match_score 0-100) matches with match_reasons and cautions. Built for app builders (e.g. Builtery) assembling automations. Reads each provider's

Call this to drill into ONE provider after search_providers or compare_providers: full evidence-scored profile — task_performed, inputs/outputs, integrations, protocols, industry_fit, autonomy_level, human_approval_needed, observed price, trust signals, evidence_quality, entity_type, regulated_data_

Call this for the public directory card of one provider by handle or registration number: bio, source URLs, X-verification status, entity type, community rating and structured profile when available.

Deep-dive ONE market before building or investing — the market is the semantic neighbourhood of your natural-language query (nearest providers by text embedding, NO fixed niche). Every field is MEASURED: the observed-pricing benchmark separated by provider type and buyer tier (median, mean, stdev, p

Create a PRIVATE custom benchmark (a saved, calculated peer cohort) over Agentery's data — no account needed. Two modes: (A) explicit members: pass `members` (a list of exact handles; product names/domains resolve where unambiguous). (B) fork a niche: pass `base_niche` plus optional `remove`/`add`.

Get a private custom benchmark's current report: members, current stats (headline median/quartiles only when ≥3 comparable priced members — monthly, per-seat and per-call prices are never blended), buyer-tier / provider-type / pricing-unit cohorts, historical index, and data coverage. Pass `benchmar

Add/remove members or rename a custom benchmark. Creates a NEW immutable version (the previous version stays fully reproducible) and returns the exact change-impact on the median/quartiles/index. Pass `benchmark_id`.

Disable access to a custom benchmark. Keeps only a minimal audit record; no underlying Agentery data is touched. Pass `benchmark_id`.