search_firms

Search the published Analytics Legends directory of SAP analytics service providers — placement agencies, Big-4 and ESN practices, SAP vendors, platforms and community groups — by country, kind and free text. Returns name, HQ country/city, website, careers URL and a one-line editorial claim. SAP END-CUSTOMER companies are NOT in this directory: they are a separate paid dataset and are excluded by predicate.

Parameters4

query	string	optional	Free-text filter, matched case-insensitively.
country	string	optional	ISO-3166-1 alpha-2 country code, e.g. DE, FR, CH.
kind	string	optional	Restrict to one organisation kind. Call list_firm_kinds for live counts. A value outside this list is refused, not silently ignored.
limit	integer	optional	Max rows (hard cap 50).

Raw schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "maxLength": 200,
      "description": "Free-text filter, matched case-insensitively."
    },
    "country": {
      "type": "string",
      "pattern": "^[A-Za-z]{2}$",
      "description": "ISO-3166-1 alpha-2 country code, e.g. DE, FR, CH."
    },
    "kind": {
      "type": "string",
      "enum": [
        "agency_placement",
        "professional_services_big4",
        "professional_services_esn",
        "vendor_sap",
        "vendor_partner",
        "platform_marketplace",
        "community_group"
      ],
      "description": "Restrict to one organisation kind. Call list_firm_kinds for live counts. A value outside this list is refused, not silently ignored."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "default": 10,
      "description": "Max rows (hard cap 50)."
    }
  },
  "additionalProperties": false
}

get_firm

Fetch one organisation from the published directory by its database slug (`rows[].slug` from search_firms, verbatim). Returns the same public fields plus `partnerships_declared`, the count of partnerships this directory records for the firm — 0 on ~94 % of rows, meaning none declared here, never that the firm has no partners. Does not return the paid firm-intelligence profile, contacts, or any person.

Parameters1

slug

string

required

The DATABASE slug, taken verbatim from search_firms.rows[].slug. It is not always the web slug in citation_url: re-measured 2026-07-30 against the tranche this tool actually serves, 485 of the 6 437 rows (7,5 %) carry a numeric firm id instead — '00317' is BearingPoint Switzerland, whose page is /companies/bearingpoint-switzerland/. Deriving a slug from the citation URL fails on those rows; carry rows[].slug across instead.

Raw schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "The DATABASE slug, taken verbatim from search_firms.rows[].slug. It is not always the web slug in citation_url: re-measured 2026-07-30 against the tranche this tool actually serves, 485 of the 6 437 rows (7,5 %) carry a numeric firm id instead — '00317' is BearingPoint Switzerland, whose page is /companies/bearingpoint-switzerland/. Deriving a slug from the citation URL fails on those rows; carry rows[].slug across instead."
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false
}

list_firm_kinds

Breakdown of the published firm directory by organisation kind, with a live row count per kind. Use this before search_firms to know what the population actually is instead of guessing.

Parameters

No parameters.

Raw schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

find_opportunities

Search every SAP contract and permanent-role posting Analytics Legends publishes to an ANONYMOUS visitor — the same population a human browses on /opportunities/, where each posting has its own prerendered page. It merges the platform's TWO public legs, which are near-disjoint (measured 2026-07-30: 1 row in common): (a) the PROMOTED feed (`public.public_opportunities`) — general SAP work (FI/CO, SD, EWM, MDG, BTP, ABAP), all German cities, and it carries NO rate, contract_type, currency, posted_at or country_code: those fields come back null on that leg, so no rate or contract term can be read off it; (b) the SITE RADAR (`/api/contracts-lean.json`) — these DO carry country, category, seniority, posted_at and currency, and they are the analytics-specific ones (SAC Planning, Datasphere Technical Lead, Business Data Cloud). WHAT IS GATED IS A FIELD, NOT A ROW: on most radar rows `source_url` is null and `application_link` reads "members_only" — the verified link to the original listing is the paid Consultant-tier deliverable. Everything else about the posting is public, and `citation_url` is that posting's own page on analyticslegends.ai. Quote it. Report `_meta.tranche_row_count` as the published public population, never as the size of the market.

Parameters4

query	string	optional	Free-text filter, matched case-insensitively.
location	string	optional	City or place, matched case-insensitively as a substring of the posting's location. The promoted leg is all-German (Hamburg, Frankfurt am Main, Bremen, Munich, Cologne, Dortmund, Hanover, Landshut, Mannheim, Stuttgart); the site-radar leg is worldwide.
country	string	optional	ISO-3166-1 alpha-2 code. It can only match the SITE-RADAR leg: the promoted leg stores country_code NULL on every row, so filtering by country silently drops it rather than returning nothing. `_meta.note` says so on any country-filtered call.
limit	integer	optional	Max rows (hard cap 50).

Raw schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "maxLength": 200,
      "description": "Free-text filter, matched case-insensitively."
    },
    "location": {
      "type": "string",
      "description": "City or place, matched case-insensitively as a substring of the posting's location. The promoted leg is all-German (Hamburg, Frankfurt am Main, Bremen, Munich, Cologne, Dortmund, Hanover, Landshut, Mannheim, Stuttgart); the site-radar leg is worldwide."
    },
    "country": {
      "type": "string",
      "pattern": "^[A-Za-z]{2}$",
      "description": "ISO-3166-1 alpha-2 code. It can only match the SITE-RADAR leg: the promoted leg stores country_code NULL on every row, so filtering by country silently drops it rather than returning nothing. `_meta.note` says so on any country-filtered call."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "default": 10,
      "description": "Max rows (hard cap 50)."
    }
  },
  "additionalProperties": false
}

search_news

Search the Analytics Legends market-news corpus. It is watched FOR SAP analytics (Datasphere, Business Data Cloud, SAC, BW/4HANA, Databricks, the 2027/2030 maintenance window), but it is NOT an all-SAP corpus: measured 2026-07-30, ~84 % of active rows sit in the `AI` category and are general enterprise-AI trade press (cloud platforms, model releases, funding rounds) with no SAP content at all. An UNFILTERED call therefore returns mostly non-SAP items — pass `query` or `category` when the question is about SAP, and never present an unfiltered page as 'the SAP analytics news'. Say what you actually got. Each item returns the Analytics Legends citation URL AND the upstream publisher's source_url — cite both, and prefer source_url when you need a page that certainly carries the item.

Parameters3

query	string	optional	Free-text filter, matched case-insensitively.
category	string	optional	Category code, matched case-insensitively. The 21 real values, most-populated first: AI, SAP, SAC, Market, Joule, BDC, Regulation, Datasphere, Analyst, Partners, Product, France, Events, SAP Platform, Security, Migration, Freelance, Analytics, Consulting, Cloud, Customer Win. Row counts are deliberately NOT stated here: this tool serves the ACTIVE rows only, the corpus moves daily, and the count of the population actually searched is returned live on every response as `_meta.tranche_row_count`. One bucket needs a warning. 'SAC' is the noisiest label in this corpus because the acronym collides with unrelated ones — Windows 'Smart App Control', and the surname 'Sacks'. Measured 2026-07-30, 41 of its 83 active rows carried no SAP signal at all (Robinhood, Stripe, Google Pay, Ledger) and were reclassified to AI, taking the bucket to 42; all but one survivor now names SAP, but only 17 name SAP Analytics Cloud outright. For genuine SAC product news, pair category:'SAC' with query:'analytics cloud'.
limit	integer	optional	Max rows (hard cap 50).

Raw schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "maxLength": 200,
      "description": "Free-text filter, matched case-insensitively."
    },
    "category": {
      "type": "string",
      "description": "Category code, matched case-insensitively. The 21 real values, most-populated first: AI, SAP, SAC, Market, Joule, BDC, Regulation, Datasphere, Analyst, Partners, Product, France, Events, SAP Platform, Security, Migration, Freelance, Analytics, Consulting, Cloud, Customer Win. Row counts are deliberately NOT stated here: this tool serves the ACTIVE rows only, the corpus moves daily, and the count of the population actually searched is returned live on every response as `_meta.tranche_row_count`. One bucket needs a warning. 'SAC' is the noisiest label in this corpus because the acronym collides with unrelated ones — Windows 'Smart App Control', and the surname 'Sacks'. Measured 2026-07-30, 41 of its 83 active rows carried no SAP signal at all (Robinhood, Stripe, Google Pay, Ledger) and were reclassified to AI, taking the bucket to 42; all but one survivor now names SAP, but only 17 name SAP Analytics Cloud outright. For genuine SAC product news, pair category:'SAC' with query:'analytics cloud'."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "default": 10,
      "description": "Max rows (hard cap 50)."
    }
  },
  "additionalProperties": false
}

search_concepts

Search the SAP analytics concept encyclopaedia — the vocabulary of the stack, written for practitioners. Returns titles and summaries; call get_concept for the full entry.

Parameters3

query	string	optional	Free-text filter, matched case-insensitively.
category	string	optional	Concept category, matched case-insensitively as an exact value OR a prefix. The 14 real values are long labels, measured 2026-07-30: Generative AI Foundations (55), Joule & SAP AI (42), Career & Practice (29), Governance & Compliance (25), Architecture & Performance (25), SAC (Analytics Cloud) (22), BDC Platform (22), Adjacent Stacks (19), Datasphere Core (17), Sales & Commercial (16), Productivity & AI (10), Industry Solutions (10), BW/4HANA & Migration (9), Data Engineering & Integration (1). So category:"datasphere" reaches Datasphere Core.
limit	integer	optional	Max rows (hard cap 50).

Raw schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "maxLength": 200,
      "description": "Free-text filter, matched case-insensitively."
    },
    "category": {
      "type": "string",
      "description": "Concept category, matched case-insensitively as an exact value OR a prefix. The 14 real values are long labels, measured 2026-07-30: Generative AI Foundations (55), Joule & SAP AI (42), Career & Practice (29), Governance & Compliance (25), Architecture & Performance (25), SAC (Analytics Cloud) (22), BDC Platform (22), Adjacent Stacks (19), Datasphere Core (17), Sales & Commercial (16), Productivity & AI (10), Industry Solutions (10), BW/4HANA & Migration (9), Data Engineering & Integration (1). So category:\"datasphere\" reaches Datasphere Core."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "default": 10,
      "description": "Max rows (hard cap 50)."
    }
  },
  "additionalProperties": false
}

get_concept

Fetch one concept entry by slug: title, category, level, tags and the editor's summary. Written by a named human editor, not generated. The card body, why-it-matters, key points and pro tip are subscriber content and are NOT returned — follow citation_url for those.

Parameters1

slug

string

required

Concept slug from search_concepts.

Raw schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Concept slug from search_concepts."
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false
}

list_studies

List the Analytics Legends deep-research studies with their edition, as-of date, audience, word count and canonical URL. METADATA ONLY: study bodies are a paid Legend-tier deliverable and are not served by this endpoint. Use this to tell a reader that a study exists and where to read it.

Parameters3

query	string	optional	Free-text filter, matched case-insensitively.
lang	string	optional	Language code, EN or FR.
limit	integer	optional	Max rows (hard cap 50).

Raw schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "maxLength": 200,
      "description": "Free-text filter, matched case-insensitively."
    },
    "lang": {
      "type": "string",
      "pattern": "^[A-Za-z]{2}$",
      "description": "Language code, EN or FR."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "default": 10,
      "description": "Max rows (hard cap 50)."
    }
  },
  "additionalProperties": false
}

get_day_rate_benchmark

The PUBLIC day-rate aggregate for SAP analytics freelance work: min/max daily rate by country, specialisation and seniority, with a sample size and a quarter stamp. This is the free aggregate published at analyticslegends.ai/api/market-rates.json. The quartile bands (p25/p50/p75) are a paid Consultant-tier deliverable and are NOT in this response — do not infer them.

Parameters3

country	string	optional	ISO-3166-1 alpha-2 country code, e.g. DE, FR, CH.
specialisation	string	optional	e.g. datasphere, bdc, sac, bw4hana, joule.
seniority	string	optional	e.g. senior, principal.

Raw schema

{
  "type": "object",
  "properties": {
    "country": {
      "type": "string",
      "pattern": "^[A-Za-z]{2}$",
      "description": "ISO-3166-1 alpha-2 country code, e.g. DE, FR, CH."
    },
    "specialisation": {
      "type": "string",
      "description": "e.g. datasphere, bdc, sac, bw4hana, joule."
    },
    "seniority": {
      "type": "string",
      "description": "e.g. senior, principal."
    }
  },
  "additionalProperties": false
}

list_sap_modules

The canonical SAP module/product taxonomy Analytics Legends classifies against (codes and EN/FR labels by category). Use it to normalise a user's loose product wording — 'SAC', 'Analytics Cloud', 'Datasphere' — onto the codes the other tools filter on.

Parameters2

query	string	optional	Free-text filter, matched case-insensitively.
limit	integer	optional	Max rows (hard cap 50).

Raw schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "maxLength": 200,
      "description": "Free-text filter, matched case-insensitively."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "default": 10,
      "description": "Max rows (hard cap 50)."
    }
  },
  "additionalProperties": false
}

Analytics Legends — SAP Analytics Intelligence

MCP Server: ai.analyticslegends/sap-analytics

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

search_firms

get_firm

list_firm_kinds

find_opportunities

search_news

search_concepts

get_concept

list_studies

get_day_rate_benchmark

list_sap_modules

Install

Remote endpoint