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The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →A 43-family dataset on distributed consensus protocols for multi-agent plan coordination, with filer spread, IPC mix and filing counts through 2026.
53 published records collapse into 43 simple (DOCDB) families; the difference is the same invention filed in more than one country. In force = 1 of 53 records still granted and maintained at the data cut-off; the rest are pending, withdrawn, refused or lapsed.
This page tracks 53 published records that reduce to 43 simple patent families matching a search for distributed consensus or consensus protocols applied to multi-agent coordination or planning. The search string sets no date limit, so this is every matching record the database returns regardless of filing date, not a fixed historical window. One of 53 records (2%) was granted and still in force at retrieval; the rest sit in other legal states that this page does not break out.
At 43 families, this is a small pool. Treat the figures here as a starting point for a search on this topic, not a complete map of the field, a handful of documents either way can shift any share quoted on this page.
Ordered by volume only, not by importance or claim strength. Counted in simple (DOCDB) patent families, so one invention filed in several countries counts once. Names come from Patsnap's standardised assignee field as recorded on each document; subsidiaries and group companies are not merged. The icon before each name is read from the name itself (words such as University, Institute or Ltd); the data carries no organisation-type field, so treat it as a reading aid rather than a classification. 2 rows in this table start with the same name (STRONG FORCE TX PORTFOLIO 2018 LLC, STRONG FORCE HEALTH PORTFOLIO 2024 LLC). They are left as separate rows, so the largest-filer figure above is per legal entity, not per group. Rows that look related still cannot be added together: one family can name several of them. Counted one by one, those rows between them cover more than the largest single row does, so the largest single row is not necessarily the largest filer in this field. How much those rows cover together is not something this dataset can say: one family can name several of them, so their counts cannot be added. Every ranking statement on this page is per individual filer row, never per group. Filings held by named individuals rather than organisations are removed where they can be identified (59 here); that identification is not exhaustive, so an individually held filing can still appear below. Either way those filings stay inside the totals above. This table shows the top 24 of the 24 filers returned for this search; the data endpoint returns at most 100 entities, so even that 24 is not the complete set of filers. A single family can name more than one filer, so these counts overlap and do not add up to the total.
Pick a task. Every answer cites the patents behind it.
Three views of the same 43-family dataset: how filings arrived over time, who filed them, and which IPC subclasses they sit in.
Records climb from 9 in 2021 to a peak of 21 in 2026. Years from 2022 on are still filling in as later filings publish, so the most recent years understate their eventual totals, this is a counting-lag effect, not a reading of accelerating or slowing activity.
Counted in published records by earliest filing year, not de-duplicated into families. A filing is counted in the year it was filed, but it only becomes visible after it publishes: roughly 18 months for most routes, and up to 30 months where a PCT application enters national phase. 2022 onwards are therefore still filling in and are shaded; no growth figure on this page uses them. Because this series counts documents rather than inventions, a rise can mean more inventions or the same inventions filed in more countries; this dataset cannot separate the two.
G06N (computing based on AI models) and H04L (digital information transmission) each appear on more than half of the 43 families, followed by G06F (37.2%) and G06Q (34.9%). Because a family can carry more than one IPC class, these shares add up to more than 100%.
Shares are the percentage of the 43 patent families in scope. One patent family can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about distributed consensus protocol for multi-agent plan coordination patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaThe abstract describes a governance layer for autonomous multi-agent systems that extends temporal-scoring and state-transition primitives to agent identity, provenance, arbitration and settlement in distributed AI markets. It describes an Agent Identity Envelope for canonical lineage and cryptographic provenance, a behavior-ingestion pipeline computing cyclical and time-decayed interaction vectors, and an IPS fusion engine generating proof-conditioned trust scores used for arbitration, coordination and settlement, with agents exchanging verifiable proof bundles through a proof-exchange mechanism.This is the first record returned under the database's default ordering, not the most cited, newest or broadest filing in the set. It describes what its abstract states; what its granted claims actually require has to be read from the claim set itself.
View full recordSelected as the first record the search returns under the database default order, then shown in full. It is not ranked by citations, claim breadth or commercial importance, and it is not a judgement about which filing in this space matters most.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →Three figures worth sitting with before treating any single row as representative of this dataset.
All 24 listed filers hold 2 or fewer of the 43 simple patent families. Three of them, Strong Force TX Portfolio 2018 LLC, Malla Reddy Univ and Nims Univ Rajasthan Jaipur, share the top count of 2 families each, so there is no single highest-volume row.
Strong Force TX Portfolio 2018 LLC is named on 2 of the 43 families (4.7%). A related-looking row, Strong Force Health Portfolio 2024 LLC, is listed separately and is not added to this figure, rows that can overlap are never summed on this page.
G06N (computing based on AI models) appears on 55.8% of the 43 families and H04L (digital information transmission) on 53.5%. Because one family can carry several IPC classes, these shares add up to more than 100% and are not mutually exclusive.
At retrieval, 1 of the 53 published records (2%) was granted and still in force. The remaining records sit in other statuses that are not broken out here, and this figure describes legal state at one point in time, not quality or outcome.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to distributed consensus protocol for multi-agent plan coordination patent landscape, with the prior art for and against each one.
This page is a starting point built from one search string. The next steps depend on what decision it is feeding.
A family count or an abstract cannot establish claim scope. Before drawing any conclusion about what a specific filing covers, read its granted claims and file history directly.
Explore in Patsnap EurekaThis dataset depends entirely on the terms searched. Adjacent phrasing around consensus, coordination or agent planning may surface records this string did not catch.
Run a new search in Patsnap EurekaWith no row holding more than 2 families, re-running this search periodically is a reasonable way to see whether any filer begins to separate from the rest.
Track this topic in Patsnap EurekaThis search returns 53 published records, which reduce to 43 simple patent families once duplicate filings of the same invention across countries are merged. The search string has no date limit, so this is every matching record the database holds, not a fixed historical window. Because the terms are broad (consensus, agent, coordination, planning), some records may reflect loosely related filings rather than a tightly defined technology.
No single filer stands out in this dataset: three filers, Strong Force TX Portfolio 2018 LLC, Malla Reddy Univ and Nims Univ Rajasthan Jaipur, are tied at 2 of the 43 simple patent families each, and all 24 listed filers hold 2 or fewer families. Filer rows are not rolled up to corporate group, so a related-looking row such as Strong Force Health Portfolio 2024 LLC is listed and counted separately. Individual inventors are also included in the total and share figures but excluded from the organisation-only filer list, so the listed rows will always sum to less than the full count.
The two most common IPC subclasses are G06N (computing based on AI models), appearing on 55.8% of the 43 families, and H04L (digital information transmission), on 53.5%. G06F (electric digital data processing) and G06Q (business and administrative data processing) follow at 37.2% and 34.9% respectively. Because a single family can be classified under multiple subclasses, these percentages add up to more than 100% and are not mutually exclusive categories.
This page does not report a growth rate for this topic, because the available filing-trend years are too few and too recent to read a reliable trajectory from. The chart shows published records climbing from 9 in 2021 to 21 in 2026, but years from 2022 onward are still filling in as later filings publish, which understates their eventual totals. Reading a slowdown or acceleration into year-to-year moves in a dataset this size would not be supported by the data.
At the retrieval date, 1 of the 53 published records (2%) was granted and still in force. The remaining records are in other legal states, pending, withdrawn, refused, lapsed, or not determinable, that this page does not break out individually. In-force status is a snapshot at one point in time and changes continuously as applications are prosecuted, granted, or allowed to lapse, so it should not be read as a measure of quality or success.
The dataset spans 9 receiving offices in total. The largest counts among those listed are India with 23 published records, the United States with 9, WIPO (PCT) with 7, and China with 6, followed by smaller counts at the Australian and European patent offices. These are publication-office counts, not filer nationality or location data, the dataset contains no information about where any filer is based.
Go past this page: query the whole distributed consensus protocol for multi-agent plan coordination patent landscape corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
Search. Every figure on this page comes from one Patsnap search, run once and not edited afterwards. This is the exact search string:
TAC:(("distributed consensus" OR "consensus protocol") AND ("multi-agent" OR agent) AND (coordination OR planning))
Reading the field codes: TAC searches the title, abstract and claims of each record, not the full description. The search string sets no date limit, so the scope is every matching record in the database regardless of when it was filed. It is not restricted to recent years. How this string was built matters for how far the counts can be pushed. It was generated in batch from a topic list rather than hand-crafted for this page, and the result set is not manually screened. A keyword search over title, abstract and claims both over-captures (unrelated filings that happen to use the same words) and under-captures (the same invention written in different words). This page cannot measure either effect, so read every figure here as what this particular string returned, not as what exists in the field.
What is being counted. Two different units appear on this page and they are not interchangeable. The filer list and the technology split are counted in simple (DOCDB) patent families: one invention counts once however many countries it was filed in. The total, the jurisdiction split and the filing-year chart are counted in published records: the same invention counts once per publication. For this search that is 53 records and 43 families. Record counts reward filing in many jurisdictions; family counts do not. Shares are only ever taken against a denominator in the same unit, and each one names it.
Who the filers are. Names come from Patsnap's standardised assignee field, as recorded on the documents themselves. They are not rolled up to corporate group: a parent and its subsidiaries appear as separate entries, and a portfolio acquired from another company stays under the name on the document unless the assignment is reflected there. This list is meant to carry organisations, not people. Filings held by a named individual are identified by matching the assignee against the inventors on the same search, and, for names written in Chinese, Japanese or Korean characters, by the name carrying no organisational suffix; those are removed from the list (59 of them here). Neither test is exhaustive: the inventor list it matches against is itself capped, and a personal name written in Latin script with no organisational wording in it cannot be told apart from a short company name by rule. So an individually held filing can still appear in the list. Those filings stay inside every total and share on this page either way, so the listed entries can add up to less than the total. A record shown in full further down still names its assignee exactly as the patent office records it, including where that is a person: that name is how the record is identified and checked. What is left out of the ranking is people as ranked entries, not people as cited sources. The table shows the top 24 of the 24 filers returned, ordered by count alone; the data endpoint returns at most 100 entities, so even that 24 is not every filer. One patent family can name several filers and each is counted separately, so these rows are not slices of a divided whole: adding them together over-counts, and this page deliberately publishes no combined "top five" share for that reason. See every filer, individuals included
Dates. The year chart counts by earliest filing year, not publication year. A filing only becomes visible once it publishes: roughly 18 months for most routes, and up to 30 months where a PCT application enters national phase. Measured across these pages, the year four back from today still holds only about 89% of its eventual count. 2022 onwards are therefore shaded on the chart as still filling in. The data behind this page was retrieved on 2026-10-21.
Legal status. "In force" counts documents whose legal status at retrieval was granted and maintained (1 of 53). Everything else is pending, withdrawn, refused, lapsed or not determinable, and those states are not broken out here because the underlying codes do not separate them cleanly. Legal status changes continuously and is reported per document, not per family. Get the status breakdown in Eureka
Classification. The technology split uses IPC subclasses (four characters, for example H01M). A single record usually carries several, so the shares add up to more than 100% and a record can appear in more than one bar. Subclass is a coarse grouping; it describes the field a record was classified into, not what the claims cover. Break the classes down to subgroup level
Who wrote the words. The tables, charts, counts, shares and patent numbers on this page are produced directly from the search result by a program; none of them are written or estimated by a language model. The surrounding prose, headings, FAQ answers and the answers in the question panel are drafted by a language model that is given those same figures and is not permitted to introduce others. Prose can still mis-describe a correct figure, so where the two disagree, the tables and charts are the record.
Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries limitations that apply to every figure above. Recent filings are under-counted, because an application is not public until roughly 18 months after filing and database loading adds further delay. The search string defines and constrains everything shown: records that use different terminology, or that sit outside the fields searched, are absent and cannot be counted. Applicant names, classification codes, legal-status codes and citation records are taken as recorded and may contain errors, duplicates, omissions or stale entries. Ordering by volume is not a measure of quality, scope, enforceability or commercial value, and a larger portfolio is not a stronger one. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, validity or infringement search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. No attorney-client relationship is created by it. Any patent, commercial, or strategic decision should be verified independently against the primary records and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
The question panel. The answers behind the suggested questions on this page were written when the page was generated, not in response to your click. The progress steps that play before an answer appears are an animation of how that analysis was done; nothing is being searched or computed at that moment. Typing your own question instead opens Patsnap Eureka, which does run it live.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.
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