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The market as a living system: value chains, systems models, templates and the search for product-market fit.

The market as a living system: value chains, systems models, templates and the search for product-market fit: the 13 calls this system serves, each a route of the API and a tool of the MCP server, at contract 0476e35e6e275db5.

Figure 1The market as a living system: value chains, systems models, templates and the search for product-market fitspecified
READ7 callsACT3 callsWORK3 calls
The market as a living system: value chains, systems models, templates and the search for product-market fit: 13 calls of the contract, by family.

The market as a living system: value chains, systems models, templates and the search for product-market fit

The 13 calls below are the whole of this system on the wire: each is one route of the API and one tool of the MCP server, with one typed input, one card as its answer and one refusal shape. Every answer carries its foot: what was read, the population and the control.

The calls#

tool route takes gives
si.read.fit_frame POST /v1/read/fit_frame Reads the frame of one fit search The answer gives the markets ranked, the offering sculpted for each buyer profile, the tactics proposed to test the fit, the verdict for each market, and the set of options that compares them
si.read.fit_plays POST /v1/read/fit_plays Reads the tactics that fit one phase of the search, for a vertical or a kind of offering The answer gives the tactics in the order to run them
si.read.market_twin POST /v1/read/market_twin Reads one market twin, and the date to read it as of The answer gives the twin: the model family and template it was instanced from, the participants placed on the chain, the level of every stock as of the date, the simulations run on it in order, and the strategy whose armed plays are its interventions
si.read.model_families POST /v1/read/model_families Reads the model families that fit a vertical or a representation Each family arrives with what it represents, the substrate it is written over, its solver and its check
si.read.simulation_frame POST /v1/read/simulation_frame Reads the frame of one simulation The answer gives the trajectory of every stock, the gain of every loop, the sensitivity to every intervention, and the set of options that compares strategies laid over the same template
si.read.systems_models POST /v1/read/systems_models Reads the systems models that fit one vertical or one kind of offering Each template arrives with its readiness and the defect it carries named
si.read.value_chain POST /v1/read/value_chain Reads the value chain of one vertical, with the brand whose participants are placed on it The answer gives the chain’s stocks and handovers with their counts, the participants on each stock, and the loops the templates name over it
si.act.make_market_twin POST /v1/act/make_market_twin Makes one market twin from a vertical, a segment, a brand, a template and the way of going to market it serves The answer gives the twin, ready or not ready with the stock the record cannot read named
si.act.place_participant POST /v1/act/place_participant Places one party in one role on one stock of a vertical’s chain, with the evidence for it The answer gives the participant, ready or not ready with the reason
si.act.record_fit_reading POST /v1/act/record_fit_reading Records one result of a person’s own test: the tactic, the market, the measure, its value, the sample and where it came from The answer gives the reading as a fact the record keeps
si.work.lay_strategy POST /v1/work/lay_strategy Lays one strategy on one twin, with the bounds of the run The call returns the simulation whose interventions are the strategy’s armed plays, then the frame
si.work.search_fit POST /v1/work/search_fit Searches for product-market fit from one end: an offering looking for its markets, or a concept looking for a market The call returns the search as work, then the frame that holds what it settled
si.work.simulate_market POST /v1/work/simulate_market Runs one systems model template over a market, with the interventions to try and the bounds of the run The call returns the simulation as work, then the frame that holds what it reached

The bars this system enforces#

Every bar is a row of the parameter register: an administrator changes it, and the platform reads it by name at the place of enforcement the row records.

parameter family dimension enforced at
the longest horizon of a market simulation, by template machinery a time the readiness gate of the simulation’s input
the finest step of a market simulation machinery a time the readiness gate of the simulation’s input
the sample count and the time budget of a market simulation machinery a count, and a time the simulation, which stops with the trajectories it reached
the level of every interval a frame of a simulation reports intend a share the stepping, on every trajectory
the bar a candidate market’s score must clear to be proposed intend a share the search’s step of the candidate markets
the count of rivals running a play above which it reads table stakes intend a count the tactic alpha against table stakes, and the class reading on the beat (stipulated at three until a market’s reading sets the row)
the share very disappointed that reads fit intend a share the tactic the very-disappointed survey
the window a fit reading stays good for, by tactic intend a time the search’s testing step, which marks a stale reading
the most tactics a search proposes per phase intend a count the search’s step of the plays to test
the retention class of a fit reading a stranger submits receive a retention class row the write of a fit reading from a form
the fewest participants for which the stocks-and-flows run stands in for the agents’ run machinery a count the readiness gate of the twin’s family (MODELS/the-market-as-a-formal-model.md section 4)
the fewest units a stock holds before its flows step deterministically machinery a count the stepping, per stock and step
the stages of a delay machinery a count the stepping of a delayed flow
the fewest sequences a learned latent model needs, and the shortest length of a sequence machinery a count, and a count the readiness gate of the sixth model family
the off-path error a learned latent model may not exceed, as a multiple of its on-path error intend a number the readiness gate of the sixth model family, on held-out counterfactual play sequences
the strength of pooling toward a parent segment intend a count the estimator of a hazard
the tolerance of interval coverage intend a share the coverage check on the beat
the draws of a simulation-based calibration machinery a count the check on an estimator before any real count reaches it
the fewest ready families an ensemble needs, and the step of the coverage adjustment intend a count, and a share the frame’s composition when a family reads not ready for coverage, and the interval’s adjustment under drift
the exploitability tolerance of a solved game, and the most rounds of its solver machinery a share of the payoff’s scale, and a count the solver of the game of roles and of the mean-field game
the propensity floor of a randomised play intend a share the planner of the learned latent model
the ratio of variance to mean above which an inflow draws as a negative binomial machinery a number the stepping of an absolute inflow

Claims#

claimstateroute or tool
The platform serves 13 calls of The market as a living system: value chains, systems models, templates and the search for product-market fit at contract 0476e35e6e275db5.targetsi.read.fit_frame